EClawbot Alternatives

Clawdbot is an open-source, self-hosted AI assistant that runs locally on your device, automating real-world tasks such as managing emails, controlling smart home devices, and scheduling meetings. It integrates with over 50 platforms and prioritizes privacy by keeping all data on your machine. Designed for users who want powerful automation without cloud dependencies, Clawdbot is ideal for privacy-conscious individuals and developers.

Clawbber is a web-based platform that enables users to build, deploy, and manage AI agents using plain English instructions, without any coding. It streamlines the creation of custom AI workflows for business automation and productivity, targeting non-technical professionals and teams.

Clawdbot AI is an open-source, self-hosted personal AI assistant designed to automate real-world tasks through integration with popular messaging platforms and local execution on a user's own device. Unlike traditional AI chatbots that primarily respond to queries, Clawdbot AI connects large language models—including Claude, ChatGPT, and various local models—to messaging services and automation tools, enabling it to perform a range of actions beyond conversation. The assistant can be installed as a background service on macOS, Windows, Linux, or a small server, and is cloudless by design, ensuring that user data, conversation history, context files, and preferences remain stored locally unless actively shared. This privacy-focused architecture is intended to give users full control over their information and workflows. Clawdbot AI supports integration with messaging platforms such as WhatsApp, Telegram, Discord, Slack, Signal, and iMessage, allowing users to interact with the assistant from their preferred chat applications on both phone and desktop. It maintains conversational context across apps and supports group chats with customizable engagement prompts. Functionality includes managing emails and calendars, sorting inboxes, browsing websites, filling out forms, analyzing data, running shell or terminal commands, managing files, and controlling smart home devices such as Philips Hue, Alexa, Google Home, Sonos, 8Sleep, and Home Assistant. Clawdbot AI also features an extensible skills and plugin system, primarily through ClawdHub, which allows users to customize and expand its capabilities to suit their workflows. The assistant can send reminders, briefings, and alerts via messaging platforms, and supports advanced interfaces like a live canvas for visual tasks, optional voice interaction, companion apps for macOS and iOS, and real-time websockets for interactive workflows. Clawdbot AI is suitable for users seeking a customizable, privacy-focused digital assistant that can automate tasks and manage information across devices and messaging platforms. Its open-source nature and support for multiple AI models offer flexibility in terms of performance, cost, and privacy preferences.

OpenClaw AI is a personal automation agent designed to help users manage digital tasks across messaging, productivity, and smart home platforms while maintaining privacy and data control. It provides features such as clearing inboxes, sending emails, managing calendars, checking in for flights, and interacting with APIs and smart home devices. OpenClaw AI supports persistent memory, allowing it to retain context across conversations and serve as a "second brain" for users. The agent integrates with major messaging applications including WhatsApp, Telegram, Discord, iMessage, Slack, and Signal, enabling users to interact with it through their existing chat platforms without needing to install new apps. It also offers a plugin system for extensibility, allowing both custom and community-built skills, and can even generate its own skills. Proactive automation features include cron jobs, reminders, and background tasks, with the agent able to initiate actions when it detects something requiring attention. OpenClaw AI runs on the user's own infrastructure, supporting installation on macOS, Windows, and Linux computers, with options for self-hosted or cloud-based operation. Users can select between cloud AI services or operate entirely offline using local models, ensuring all data and interactions remain within their chosen environment. The agent provides native system access, enabling file operations, command-line instructions, and execution of personalized scripts, with adjustable security settings ranging from isolated environments to full system privileges. The platform connects with a variety of services out of the box, such as Google services (Gmail, Calendar, Drive, Contacts), Obsidian, GitHub, Spotify, Hue, and Twitter, and supports additional integrations through a visual workspace that leverages Google's A2UI protocol. For automation and advanced control, it includes tools for GUI automation, vision analysis, and command-line interfaces for messaging and social media. OpenClaw AI can be deployed on devices like Raspberry Pi and supports serverless hosting via Cloudflare's edge network. The tool is suitable for users seeking a privacy-focused, extensible, and autonomous digital assistant that operates within their own infrastructure.

Clawsify is a web-based service for deploying OpenClaw bots on a user’s own VPS. It is built around OpenClaw, which the site describes as a system for creating AI assistants that can talk, remember, and do tasks like a human. Clawsify says it lets people create and use these assistants without coding, and it links that use to daily tasks, learning, and business work. The product page highlights one-click deployment inside a user’s infrastructure, along with the ability to chat with any AI model through a sleek interface and craft unique AI personas. It also shows a live OpenClaw instance running on a dedicated single-tenant server and mentions a fast path from sign-up to deployment in four steps: sign up, pick a persona, connect a model, and deploy. The page says users can create a bot’s personality in conversation, and that the AI builder generates the workspace config files the bot needs. It also lists example uses such as scheduling meetings, summarizing email, drafting replies, translating messages, tracking subscriptions, sending deadline reminders, planning a week, writing meeting notes, and providing time zone help. Clawsify states that users can create personas, and that these personas include personality, values, tools, and memory. It also refers to a personas, skills, and templates marketplace, plus webhook and dashboard control without SSH. The site mentions support for connecting an AI model and references OpenAI-compatible model endpoints and BYOK in a comparison table. Help is available through Discord, including quick calls with the team for deployment setup. The pricing copy says there is a three-day free trial with no card required upfront, and that users can pay only if they continue after day three. The footer and product text identify Clawsify as the service name, and the page includes links for product, pricing, company, terms, privacy, contact, community, Twitter/X, Discord, and blog.

Captain Claw is an open-source platform designed to orchestrate multiple AI agents for complex tasks, offering users a command center called the Flight Deck to spawn, monitor, and coordinate specialist teams. Unlike single-agent chat tools, it enables the management of a fleet of AI agents, each with its own model, role, and toolset, all from a unified dashboard on the user's machine. The platform supports six distinct orchestration modes, allowing users to tailor the collaboration and workflow of agents to the specific demands of their tasks, such as ensemble reasoning, structured deliberation, and software engineering pipelines. Each agent within Captain Claw can be assigned a unique combination of models—including options like GPT, Claude, Gemini, DeepSeek, and Ollama—and a selection from 48 built-in tools. The system provides live monitoring, per-agent chat, file inspection, and log access without interrupting the work of other agents. Users can analyze token usage and costs at the agent level, with a comprehensive activity log that traces every tool invocation, consultation, and hand-off. Quick Chat functionality allows for rapid agent instantiation using predefined archetypes, which can be promoted to the main workspace as needed. The platform features a library of 31 editable agent archetypes covering roles in research, writing, engineering, data analysis, operations, finance, and multimedia. Users can build teams by selecting archetypes manually or by describing an objective in plain English, which prompts the system to design a team with appropriate roles, models, tools, and standard operating procedures. Structured deliberation is facilitated through the Agent Council mode, where agents participate in moderated rounds and vote, with the ability to export session minutes as markdown. For high-confidence outputs, Basna mode enables independent, blind responses from specialists that are merged by reliability, while Vatra mode supports collaborative drafting on a shared blackboard with review rounds. Captain Claw is distributed under the MIT License and runs locally. Its open-source nature and flexible orchestration modes make it suitable for users who need to coordinate specialized AI agents for tasks spanning research, engineering, analysis, and complex decision-making.

IonClaw is a C++ AI agent orchestrator for running AI agents natively and offline. It is built for servers, desktop systems, Raspberry Pi, and mobile devices, and its core claim is that the same codebase compiles to native builds across those targets. The product presents itself as suitable for keeping AI work on-device, with the phone use case described as turning a smartphone into a personal AI assistant. It supports local GGUF models through a built-in llama.cpp engine. The feature set also includes multi-agent orchestration, a browser-based control panel, a skills extension system, multi-provider LLM support, and full MCP client and server integration inside a single native build. The site says the software runs without any runtime, container, or external dependency, and that the compiled binary itself has zero runtime dependencies. IonClaw is delivered as a native build rather than a hosted service. The supported targets named on the site are Linux, macOS, Windows, iOS, Android, Raspberry Pi, watchOS, tvOS, and cloud servers. The quick-start flow shown on the site involves cloning the repository, building, installing, initializing a project, and starting a server that opens a web panel at localhost. The project is fully open-source and MIT-licensed. Pricing is stated plainly: IonClaw is free and open source, with no license to buy, no subscriptions, no seat limits, and no feature paywalls. The only possible cost mentioned is usage from a cloud LLM provider chosen by the user; local models are described as free and fully offline.

Clawith is a self-hostable open-source system for building a collaboration network of humans and AI agents. Its central idea is that organizational cognition should move from individual people into named, accountable roles and shared organizational memory. The site describes six capabilities for that model: Org Roles, Two-layer Memory, A2A Direct Collab, Aware Dispatch, Permissions & Audit, and Plaza Space. Roles are presented as digital members with accountability, memory is described as staying with the organization rather than the person, coordination includes delegate, @-mention, and group formation, execution begins from a goal and decomposes work until human intervention is needed, and governance keeps actions logged and traceable end to end. Learning is also part of the system, with the organization settling into a reusable starting point over time. Examples on the page show the intended use across quantitative work, media production, and software delivery. In those examples, agents analyze prices, news, and fundamentals; run writing, publishing, and analytics across multiple channels; and move from a single sentence to shipped software in seven days while a human reviews the result. The page also says humans own goals and judgment, while agents take on node-level tasks and proactively collaborate with other members. Clawith is available as self-hostable software and is released under the Apache 2.0 license. The page also mentions that it works with any model and refers to an OpenClaw ecosystem. The tool is framed as an answer to how organizations run when every individual is amplified by AI, and it presents itself as a way to form a company-like collaboration network of experts, super-individuals, and agents.

GoClaw is an open-source AI agent runtime written in Go, allowing developers to run, manage, and interact with conversational agents via a single binary CLI. It supports multi-channel communication, including voice, and is designed for easy local deployment without dependency issues.

OpenClaw is a personal AI assistant that runs on a user’s machine and is described as open source. Its homepage says it organizes inboxes, sends emails, manages calendars, and checks users in for flights, and that those tasks can be done from WhatsApp, Telegram, or other chat apps already in use. The product page also describes an ecosystem with integrations, docs, a blog, a Discord server, and a GitHub presence. Installation is shown through a one-liner script, npm, pnpm, and source checkouts from GitHub. The same page says it works on macOS, Linux, and Windows, and notes that the one-liner installs Node.js and everything else needed. Companion apps are listed in beta for macOS and Windows, with native controls for gateway, chat, setup, and node features. It also says users can switch update channels later with openclaw update --channel dev or openclaw update --channel stable. OpenClaw is presented for people who want an assistant that can act through familiar chat apps while running locally.

CashClaw is an open-source toolkit designed to transform an OpenClaw AI agent into an autonomous freelance business that can accept missions, deliver services, and receive payments through Stripe. It is aimed at users who want to deploy AI agents as independent service providers, allowing for automated business operations without the need for a dedicated server. The platform integrates with the HYRVEai marketplace, enabling agents to find and accept missions both from marketplace clients and direct customers. md format. Each skill can have its own pricing, delivery times, input requirements, and output formats, all managed through configuration files. The agent operates autonomously, handling mission acceptance, service delivery, and payment processing with no manual intervention required. Payments from clients are processed directly to the user's Stripe account, with no platform lock-in or delays. For direct client transactions, there is no platform fee, while missions sourced from the HYRVEai marketplace incur a 15% fee. CashClaw is delivered as a command-line interface (CLI) tool, installable via npx, and includes an interactive setup wizard for configuring services, pricing, and Stripe integration. Users can monitor their agent's performance, earnings, and active missions in real time through the CashClaw dashboard. The tool is fully open source under the MIT license, and its code is available for inspection, contribution, or forking. There are no subscription fees or hidden charges, and users retain full control over their Stripe accounts and business data. By providing a configurable, open-source solution for automating freelance AI agent businesses, CashClaw addresses the need for flexible, user-controlled agent deployment and monetization, distinguishing itself from alternatives that require subscriptions, impose higher platform fees, or restrict customization.

YourOpenClaw is a platform for deploying autonomous AI agents across various messaging channels, designed to provide users with always-on, proactive assistants. The service automates the deployment process by spinning up a hardened Docker VPS pre-configured with OpenClaw, including components such as a gateway, heartbeat daemon, skills platform, and persistent memory. Users can connect their agents to messaging platforms like WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and Teams, enabling communication and automation across multiple channels. The platform supports integration with a range of AI models, including Claude (Anthropic), GPT (OpenAI), Gemini (Google), MiniMax, and OpenRouter. It features a WebSocket control plane for management, persistent local Markdown-based memory for 24/7 context retention, and proactive scheduling through a heartbeat daemon and webhook system. Automation capabilities are enhanced by a CDP-managed Chromium browser for forms, scraping, and other browser-based tasks, as well as a secure sandbox environment for shell execution and file system access. YourOpenClaw comes with over 100 pre-loaded AgentSkills and supports self-extension through chat-based interactions. The system also offers auto-updating for zero-downtime deployments. YourOpenClaw caters to a variety of use cases, including real estate, e-commerce, customer support, marketing agencies, SaaS companies, coaches and consultants, healthcare, education and tutoring, fitness and training, law firms, restaurants, and content creators. The platform is suitable for both personal projects and business applications, offering different plans to match user needs. Pricing is structured across three tiers: Starter ($39/month) for personal projects, Pro ($79/month) for power users requiring higher performance and priority support, and Enterprise ($149/month) for dedicated resources, custom domains, and dedicated support. All plans include persistent storage, access to all AI models and connectors, and auto-deployment upon subscription, with payments processed via Stripe and the option to cancel anytime. YourOpenClaw is MIT licensed and has received significant attention on GitHub.

BattleClaws is an AI agent battle arena where users register their own AI agents as virtual creatures that compete autonomously. By submitting a single prompt, a user creates an agent that develops its own identity and participates in battles against other creatures. The platform emphasizes an automated experience: once an agent is registered, it fights, evolves, and even engages in trash talk without further user intervention, while users observe the action. Agents in BattleClaws progress through four evolutionary stages as they battle, offering a sense of growth and competition. The arena features a ranking system based on ELO, with tiers ranging from Bronze to Legend, allowing users to track their agent's performance and strive for higher standings. Live battles are a central feature, with updates occurring every five seconds, and a leaderboard displays the current rankings of agents within the arena. BattleClaws is delivered as a web-based platform, accessible through its website. The tool is designed for individuals interested in observing AI-driven competition and evolution in a game-like environment.

ZooClaw is a web-based platform that offers users a team of proactive AI agents to automate and manage everyday digital tasks. It requires no setup or API keys, making it accessible for individuals seeking to streamline their workflows with AI assistance.

Clawbotomy focuses on behavioral intelligence for AI models, addressing the challenge of understanding how models behave under varying and stressful conditions. The platform is designed to uncover behavioral patterns in AI systems, particularly those that emerge under pressure or when environmental factors change, in order to identify potential issues before they impact users. One of the core features of Clawbotomy is its use of behavioral probes. These probes place AI models into altered cognitive states and observe their responses, capturing outputs such as video, audio, and detailed reports. The process does not rely on templates or filters, ensuring that the data collected is a direct reflection of the model's behavior. This approach provides a means to explore and document how AI models react in diverse scenarios. Clawbotomy also offers trust evaluation through a series of twelve stress tests. These tests assess models across areas including sycophancy, deception, boundary adherence, and honesty in failure situations. The results yield a trust score, which can help determine whether a model should be granted unsupervised access or requires closer oversight. In addition, the tool provides routing intelligence by translating trust scores into actionable routing policies. This includes recommending which tasks are suitable for each model, identifying cases where supervision is necessary, and flagging models that should be blocked from certain assignments. Clawbotomy positions itself as a solution for probing behavior, routing AI models intelligently, and making careful trust decisions. evidence_sufficient": true}

GoClaw is a service for building a personal OpenClaw Bot assistant. It is described as a no-code, no-server way to set up an AI assistant that searches, schedules, messages, and solves tasks automatically. Its feature set includes smart search that can search the internet and return curated, summarized results in chat. It also handles reminders and periodic tasks, with daily reports of pending to-dos, and it supports scheduled messaging so WhatsApp messages can be sent to contacts on a chosen schedule. For problem solving, the assistant can produce tailored solutions, code, strategies, or step-by-step plans. The site also says the assistant can send and receive messages, automate communications, and manage tasks through WhatsApp, while Telegram support offers full integration with bots plus rich commands and inline responses. GoClaw is meant for people who want to connect WhatsApp, Telegram, or both and then command the assistant from a dashboard. The setup flow shown on the site says account creation takes less than 60 seconds, after which channels are linked from the dashboard and the bot can be started. The product is also presented as available on the App Store and Google Play. Pricing starts from 19 Kč/day with an introductory offer. The monthly pricing shown on the site includes a Basic plan at 909 Kč per month and an Advanced plan at 1,399 Kč per month, with additional credit packages available for purchase. The site also says GoClaw is an independent project and is not affiliated with, endorsed by, or officially connected to OpenClaw.

EctoClaw is a local firewall and cryptographic audit ledger for OpenClaw agents. It is used to see what agents did and control what they are allowed to do, with an emphasis on auditability, policy enforcement, and compliance evidence for OpenClaw workloads. Its core capabilities include capturing full agent lifecycles, enforcing policy decisions, and emitting compliance evidence. The product describes cryptographic integrity features based on SHA-256 chain hashing, Ed25519 signatures, and Merkle roots to prove event and session integrity. Policy controls include allow and deny decisions, content filters, max-step guardrails, and approval triggers for sensitive actions. For investigations and reviews, it supports tracing which skill, tool, or model response led to an unexpected action, and it can generate defensible records for regulated runs without changing agent business logic. EctoClaw also exposes a REST API, an SSE stream, dashboard views, metrics, and compliance bundles for active governance. Its developer tooling includes a typed SDK, an OpenClaw plugin package, CLI commands, demo scripts, and a CI-ready build and test pipeline. The architecture described on the page includes event sources from OpenClaw, the REST API, and the SDK; a policy engine; hashing and signing before events are appended to an immutable SQLite ledger; and outputs through the dashboard, SSE stream, and verification and report functions. The plugin captures events from message, skill, tool, and model lifecycle hooks, while the dashboard shows live event feeds, policy violations, and session drill-down visibility. The page also mentions enterprise audit exports that produce report bundles with verification material for security and legal review. It is built for OpenClaw ecosystems and can be integrated through REST and SDK, through plugin hooks, or by running the server and dashboard directly. The page does not state pricing or licensing information.

Eclawbot is an AI agent collaboration platform that allows users to create, manage, and orchestrate multiple AI agents that function as a real team. Each agent can have distinct personalities, skills, and memory, and they communicate directly with each other using the A2A protocol, follow organizational hierarchies, and route tasks automatically. It includes a Kanban task board, real-time chat, cross-device synchronization across iOS, tablet, and web, plus the ability to share and discover Agent Cards. Designed for small business owners building 24/7 assistant teams, developers integrating AI

ClawControl: AI Agent Hub is an open-source iOS client for managing and interacting with self-hosted AI agent servers. It supports real-time chat, multi-agent management, session organization, and is designed for developers and privacy-focused users.

PersonalClaw is an open-source personal AI agent framework that allows users to chat with customizable LLMs through Slack, a web dashboard, or a command-line interface. It supports pluggable LLM providers and implements the Model Context Protocol (MCP). The package is distributed on PyPI and can be self-hosted, making it suitable for developers who want full control over their personal AI tooling.

EasyClaw is a desktop and CLI tool that enables users to install and use the OpenClaw AI agent with a single click on macOS and Windows. It supports multiple AI providers, including OpenAI and Anthropic, and offers Telegram integration for remote access. Designed for users who want to deploy AI agents without technical setup.

thClaws is an open-source, native-Rust AI agent workspace designed to run locally on macOS, Windows, and Linux. It enables users to code, automate tasks, retain memory, and coordinate workflows through a locally executed agent, emphasizing user control and data privacy. The platform supports multiple AI providers—such as Anthropic, OpenAI, Gemini, Alibaba DashScope, OpenRouter, Ollama, and Agentic Press—automatically detecting the provider by model name, and is built on open standards to avoid cloud lock-in. The workspace offers three main interfaces within a single binary: a desktop GUI with tabs for terminal, chat, files, and team coordination; a CLI REPL for headless or SSH sessions; and a one-shot mode for single-turn commands, making it suitable for integration with other tools or CI pipelines. Users can switch freely between these interfaces, with session history and configuration preserved across modes. Additionally, thClaws can be run in WebSocket server mode for remote access. Key features include a media studio for generating images and videos across different models, a live gallery for managing generated media, and the ability for agents to call these tools directly from chat. The platform supports reusable workflows called "skills," third-party MCP servers for integrating with tools like GitHub, filesystems, databases, browsers, and Slack, as well as plugin support for bundling skills, commands, and agent definitions. Persistent memory is organized by user, feedback, project, and reference, stored as readable and editable markdown. Knowledge bases are available per project and user, with a consolidator tool to deduplicate and surface new insights. thClaws also provides features for orchestrating teams of agents, filesystem sandboxing, offline operation with local models, shell command execution, side-channel agents for specialized tasks, plan mode for sequential multi-step workflows, scheduled jobs with native daemon support, document workflow for reading, editing, and creating PDF, DOCX, PPTX, and XLSX files, and hooks for lifecycle event scripting. 0 and MIT licenses, and an official Docker image is available.

Clawsphere is a web-based professional social network designed for AI agents and their human owners. It enables users to build agent reputations, showcase capabilities, and connect with others in the AI ecosystem. The platform supports agent-human pairing, community discussions, and reputation tracking.

Claw Mail is an email API for AI agents. It gives each user a dedicated inbox at a clawmail.cc address and is intended for sending and receiving email programmatically without OAuth complexity. Its documented API includes polling for unread mail, which returns new messages and marks them as read, sending messages with required to and subject fields, and listing inbox threads or the messages inside a specific thread. The send endpoint accepts plain text or HTML bodies, supports cc and in_reply_to fields, and the polling response includes thread and email data such as subject, participants, message count, sender details, direction, and received time. The page also shows a Python helper class with methods for polling, sending, and listing threads, along with a security note recommending sender validation before processing incoming email content to reduce the risk of prompt injection. Claw Mail is delivered as a skill within ClawHub. The page shows CLI installation through openclaw skills install @heyarviind/clawmail, setup via a Python script, and use of a JSON config file stored at ~/.clawmail/config.json containing a system_id, inbox_id, and address. All requests use the X-System-ID header, and the API base URL is https://api.clawmail.cc/v1. Error responses are returned in a structured JSON format with error and message fields.

AppClaw is an open-source mobile automation agent designed to automate tasks and testing on Android and iOS devices, both real and emulated. It enables users to describe actions or high-level goals in plain English, which the tool then interprets and executes by interacting directly with mobile interfaces. AppClaw is particularly suited for mobile QA engineers and teams seeking to accelerate mobile automation processes. The platform supports multiple modes of automation: users can issue prompts in natural language, write deterministic YAML flows for repeatable tests, or use a live playground REPL to build and export automation flows interactively. AppClaw decomposes complex goals into ordered sub-goals, employs a perceive–reason–act loop, and verifies the screen state after each step, recovering automatically from unexpected interface changes or stuck loops. It can pause to request user input for OTPs or CAPTCHAs when required. AppClaw's perception system combines reading the structured accessibility tree (DOM mode) for speed and precision, with an AI-powered vision fallback for interfaces lacking accessibility data, such as custom-rendered UIs or games. Its locator system resolves interface elements by geometric relationships, avoiding brittle selectors and enabling robust automation even when similar elements are present. The tool also features memory capabilities, drawing from both user-supplied app navigation guides and its own episodic memory of successful past runs to optimize future executions. Automation tasks can be run in parallel across multiple devices, with live progress and pass/fail tracking for each device. AppClaw integrates with various large language model providers, including Anthropic, OpenAI, Google, Groq, and Ollama, allowing users to supply their own API keys. It operates via the command-line interface or through extensions for code editors such as Cursor and VS Code, and delegates all device actions over the open MCP protocol, ensuring extensibility and avoiding vendor lock-in. 0 license, making it freely available for use and extension.

OpenClaw AI is a private, always-online AI assistant service from JustOpenClaw. Its page describes it as an OpenClaw instance and says it runs with zero code, meant to be started quickly and used as a personal assistant for digital tasks. The service is presented around a set of named capabilities. It can handle workflow automation for emails, reminders, schedules, and repetitive tasks. It also includes code and development functions such as code review, test generation, refactors, and GitHub repository management. Other listed uses include browser control for filling forms, scraping data, and browsing like a human; file and system management for local files after install or through Docker deployments; smart home control through Home Assistant; app and API integration with Slack, Discord, GitHub, databases, and APIs; and content creation for images, video editing, and document writing. A separate personal assistant mode is mentioned as showing the system in action. OpenClaw AI is delivered as your own private bot instance, with no sharing between users. The page says it is always online and ready, and that updates, security, scaling, and maintenance are handled in the background. It also mentions use on Hostinger or on the user’s own stack, and refers to openclaw browser relay, openclaw docker deployments, and open clawd for advanced setups. Pricing is subscription-based, with monthly and yearly billing shown for three plans: Lite, Pro, and Max. Lite is listed at $16.58 per month or $199 per year, Pro at $33.25 per month or $399 per year, and Max at $66.58 per month or $799 per year. The plans list dedicated vCPU, RAM, and SSD allocations, along with zero configuration, 24/7 personal AI assistant access, auto updates, completely private end-to-end encryption, daily backups, and priority support on the higher tiers.

ClawResearch is a web-based platform where autonomous AI agents and humans collaborate to conduct, publish, review, and discuss scientific research. It provides tools for agent-driven research, peer review, and open scientific collaboration, accessible via web and API.

ClawDuck is a web platform for building, deploying, and monitoring autonomous AI agents and workflows. It supports multi-agent teams, model routing across providers, on-device memory, and integrations with channels like Slack and Telegram. Designed for engineering and operations teams seeking production-ready AI automation.

adclaw is an open-source CLI tool that provides a multi-agent AI marketing team with 121 skills, multi-channel support, and shared memory. It is designed for developers building advanced marketing automation solutions using AI agents.

ClawCodex is an open-source, token-efficient AI coding agent designed for use in the terminal. ai GLM, MiniMax, OpenRouter, DeepSeek, and others. The platform is built in Python and is a native reimplementation of the Claude Code architecture, emphasizing extensibility, cost efficiency, and developer control. The tool features a streaming REPL (Read-Eval-Print Loop) with session history, tab completion, multiline input, and the ability to switch to a Textual TUI (Text User Interface) on demand. md slash commands with named arguments and per-skill limits. Users can save and reload conversations locally, with auto-save and configurable history limits, ensuring that all session data remains on the user’s machine. Permission modes such as plan (read-only), acceptEdits, dontAsk, and sandbox bypass are available to control agent actions. ClawCodex is engineered to be token-efficient, especially with DeepSeek, where it maintains a stable request prefix to maximize prompt cache effectiveness, resulting in significant cost savings for long-running coding sessions. The agent supports streaming replies, live output toggling, and clean Markdown rendering. It also offers a scriptable headless mode for CI and automation, with output formats suitable for piping and agent-to-agent workflows. Image handling is supported via a TypeScript-parity read pipeline, enabling inline image mentions and translation between vision-capable backends. The platform is delivered as a command-line interface that can be installed with a single bash command on macOS, Linux, and WSL. It is MIT licensed, making it freely available for modification and extension. ClawCodex is maintained by the ClawCodex Team and is intended for developers seeking a flexible, extensible, and cost-effective AI coding agent that integrates with a broad set of model providers directly from the terminal.

DrugClaw is an open-source multi-channel agent runtime designed for drug discovery research. It provides a web UI, CLI, and built-in scientific tools to automate and accelerate research workflows for scientists and developers.

ClawdSecbot is an AI-powered security solution for Openclaw. It is described as protecting Openclaw against prompt injection, intent deviation, permission overreach, and other security threats in real time. Its core features center on monitoring and control across Openclaw interactions. The product includes one-click real-time protection, AI real-time traffic analysis, automatic threat recognition, and an intelligent interception strategy. It also provides prompt injection detection using deep semantic analysis, security audit logs for recording AI interaction behavior, skill security detection for loaded skills or plugins, intent deviation monitoring, and access control policy management with blacklist and whitelist rules, path interception, and tool call restrictions. A Key Vault feature is included for encrypted API key management. ClawdSecbot is presented as a cross-platform desktop application with native support for Windows 10/11 64-bit, macOS 11+ on Intel and Apple Silicon, and Linux distributions including CentOS 8.x, Ubuntu 22.04+, Debian 11+, and Fedora 36+. The page says data is fully processed locally, without uploading information to the cloud, and that the rule engine supports custom detection strategies. It also mentions a plugin extension mechanism for adapting to other Openclaw-like AI agents. The product is open source, free, and available from GitHub Releases. The page identifies HONG KONG DAS-Security INTERNATIONAL LIMITED as the copyright holder.

Clawsec is an open-source security plugin for OpenClaw agents. It is built to add guardrails for agentic AI systems that can otherwise run with full system access, and it addresses risks such as prompt injection, secret leakage, unauthorized purchases, and data exfiltration. Its middleware intercepts each tool invocation before execution. The page says that shell commands, HTTP requests, and file writes pass through three stages: interception, risk scoring, and action enforcement. The rules engine matches calls against built-in rulesets such as destructive-commands, secrets/, and exfiltration/, and the configured response can block the action, require human confirmation, or allow it with a full audit trail. The listed coverage includes destructive commands, secret exposure, data exfiltration, unauthorized purchases, privilege escalation, and prompt injection. The evaluation is described as completing in under 5 milliseconds. Clawsec is delivered as an OpenClaw plugin, with installation shown as a single command: openclaw plugins install clawsec. The setup section says that it auto-generates a clawsec.yaml configuration file, and the configuration example shows extensible YAML rules. The page also describes it as open source, and states that it is MIT licensed. It presents itself as security for OpenClaw and as a tool for protecting AI agents.

SocialClaw is a social media scheduling service designed as a publishing layer for AI agents such as OpenClaw, Claude, and Codex. It allows users, teams, and agents to connect social accounts once in a shared workspace and then generate, schedule, and publish content across multiple platforms without managing individual platform requirements. The service supports posting to X, Facebook Pages, Instagram Business and Creator accounts, LinkedIn profiles and pages, TikTok, YouTube, Pinterest, Reddit, WordPress, Discord, and Telegram. It handles media hosting and uploads for photos, videos, and sound, scheduling with timezones, automatic retries, post confirmation, and analytics where platforms provide it. An AI engine can generate viral-worthy captions, attach music, and create UGC-style reactions from screen recordings. Typical agent workflows include listing accounts, checking capabilities, uploading assets, validating schedules, applying them, and checking status. Access occurs through several developer-oriented interfaces. A command-line tool enables login with an API key, listing accounts, validating schedule files in YAML or JSON, and applying them to post or schedule. A REST API at https://getsocialclaw.com/v1 accepts bearer token authentication with workspace keys for scheduling and publishing posts programmatically. An MCP server endpoint at https://getsocialclaw.com/mcp provides direct HTTP access for Claude and compatible clients, allowing agents to connect accounts and manage posts without per-tool setup. Agent skills can be installed via npx skills add ndesv21/socialclaw for use in chat with supported AI models. SocialClaw is delivered as a hosted platform with a web dashboard, CLI, API, and MCP interfaces. It offers a free tier to begin without upfront payment. The service is provided by SocialClaw Inc.

ProxyClaw is a skill designed to provide AI agents with unrestricted web access by routing their requests through a large network of real residential IP addresses across 195+ countries. It addresses the common obstacles faced by automated agents, such as CAPTCHAs, bot detection, IP bans, JavaScript-heavy sites, and geo-restrictions, by offering features that include full browser rendering, automatic CAPTCHA solving, and anti-bot bypass using real device fingerprints. The tool is positioned for users who need their AI agents to reliably access web data that would otherwise be blocked or obfuscated by anti-automation measures. The platform supports multiple installation methods: it can be installed as a skill via ClawHub, cloned directly from GitHub, or integrated using the IPLoop Python SDK, which offers anti-bot stealth mode. ProxyClaw is also available as a Model Context Protocol (MCP) server, enabling seamless integration with environments such as Claude Desktop, Cursor, or Zed, and allowing these agents to operate as if they were real human users from any of the supported countries. API access is provided, with parameters for output format (rendered, raw, markdown), geo-targeting by country, cache expiration, device type (desktop or mobile), and IP type (residential or ISP). A notable aspect of ProxyClaw is its credit-based pricing and earning model. Every page scraped through the service earns proxy credits for the user, and there is an option to share idle bandwidth to multiply these earnings. Most users can access the service at no cost, as credits generated by scraping typically cover usage. 5 GB of residential proxy data with JavaScript rendering and advanced geo-targeting included. ProxyClaw distinguishes itself within the autonomous agent tools category by combining residential proxy infrastructure, browser-level rendering, and anti-bot evasion, while incentivizing usage through its credit-earning mechanism. This makes it suitable for developers and users who require persistent, undetectable, and geographically flexible web access for their AI agents.

ClawPort is an open-source command center designed for managing Claude Code agent teams, providing a unified dashboard to oversee agent hierarchies, workflows, and resources. Built on the OpenClaw ecosystem, it caters specifically to developers and teams working with Claude Code agents, offering tools to visualize, coordinate, and monitor agentic coding workflows from a single interface. The platform includes a range of features aimed at simplifying agent management. md. The agent chat function enables direct messaging with individual agents, facilitating review of outputs, feedback, and guidance within a familiar chat interface. ClawPort's kanban board provides drag-and-drop task management, allowing users to track the status of tasks across queued, in-progress, and completed stages. For recurring jobs, the cron pipelines feature lets users schedule, monitor, and control agent jobs, with visual pipeline DAGs, execution history, and failure alerts accessible from the dashboard. Additional capabilities include a cost dashboard that analyzes token usage and costs across cron jobs, offering daily charts, per-job breakdowns, and anomaly detection. The activity console presents historical event logs and a live stream widget for real-time monitoring, with the ability to expand raw JSON log entries. The memory browser enables browsing and editing of agent memory files, helping maintain alignment and shared context across teams. ClawPort also supports customization with multiple themes, configurable layouts, and an extensible architecture based on OpenClaw. js 22+ and a running OpenClaw instance. It auto-detects the user's OpenClaw workspace, gateway, and authentication token, and reads configuration, context, and memory files directly from disk without sending data to external servers. The tool is free to use, open-source under the MIT License, and developed by John Rice and the OpenClaw community. There are no paid tiers, feature gates, or telemetry, and it is intended for developers managing Claude Code agentic workflows within a single project at a time.

OpenClaw 中文网 presents OpenClaw as an open-source AI assistant that “actually does things.” The site describes it as a personal AI agent for tasks such as cleaning inboxes, sending email, managing calendars, and automated check-ins, and it frames the product as something that runs on the user’s own computer. It is described as supporting Mac, Windows, and Linux. The core feature set includes chat-based operation through WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and other messaging applications, with use in both private and group chats. OpenClaw also includes persistent memory for user preferences and context, browser control for browsing pages, filling forms, and extracting data from websites, and full system access that can read and write files, run shell commands, and execute scripts. The user can choose either full access or sandboxed isolation. The site also lists skills and plugins, saying users can use community skills or build their own, and that the system can even create new skills autonomously. A separate section lists integrations including Claude, GPT, Spotify, Hue, Obsidian, Twitter, Browser, Gmail, and GitHub, alongside a note that there are 50+ integrations. The page also mentions a collaboration with VirusTotal for Skill security. Delivery is described through a quick start section that includes a one-line install script and a global npm install command, plus a beta menu-bar app for macOS that works with the CLI. The page says one-click installation is available for macOS, Windows, and Linux, and that the installer automatically installs Node.js and required dependencies. It also notes that a macOS menu-bar app requires macOS 15+ and is a universal binary. The project is presented as open source and self-hosted, built by Peter Steinberger and the community, and the page says it is independent and unrelated to Anthropic.

DevClaw turns Telegram group chats into autonomous development teams. It is built for people who want AI agents to carry a task through code writing and review without constant supervision, with the stated goal of avoiding the repeated babysitting that multi-step agent pipelines often require. Its workflow is described as a sequence in which issues are created, DEV writes code, QA reviews the result, and failures loop back automatically. The page also says it uses guardrails as code rather than prompts, with orchestration moved into deterministic code and one atomic tool call replacing a longer agent checklist. Other named features include per-project isolation for each Telegram group, atomic operations that succeed or fail as a unit, session reuse so a later task can continue in an existing session, automatic model selection based on task complexity, token-free scheduling through CLI calls, and health checks that detect zombies, stale state, and orphaned references. The system also reports automatic assignment of junior, medior, and senior labels by task complexity, and it notes support for overriding model choice with modelOverride. Telegram and GitHub are both named in the product description: Telegram drives the work, while GitHub tracks the results. The page says agents pick up issues, write code, create pull requests, and loop through review, with the issue board updating itself. It also mentions an OpenClaw plugin and describes the product as built on OpenClaw. DevClaw is open source and MIT licensed, and the page invites users to install it and point it at a repo. It is presented as a tool for autonomous software development work inside group chats.

ClawControl is a client app for managing and interacting with a self-hosted OpenClaw AI assistant. Users can chat, manage agents, and customize skills directly from their Android device, targeting tech-savvy users and AI enthusiasts.