ClawMetry Alternatives

ClawMetry is an open-source observability tool for real-time monitoring of multiple AI agent runtimes. It integrates with dashboards and supports OpenTelemetry, enabling infrastructure engineers to track and analyze agent performance across diverse environments.

Clawwatcher is a web-based tool for monitoring OpenClaw AI agents, offering real-time dashboards for token usage, budget limits, and spending alerts. It helps AI operations teams control costs and prevent budget overruns when deploying AI agents.

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.

Openclaw Command Center is a mission control dashboard designed for managing AI agents within the OpenClaw ecosystem. It provides a centralized interface to monitor real-time sessions, track large language model (LLM) usage—including models such as Claude and Codex—analyze per-session costs and projections, and observe system vitals like CPU, memory, disk, and temperature. The platform allows users to view and manage all their AI agents in one place, catering to those operating or overseeing AI workforces. Key features include live session monitoring with automatic updates, LLM fuel gauges for tracking model-specific usage, cost intelligence tools that estimate savings and project expenses, and system health metrics. The dashboard also offers management of scheduled tasks through cron job integration, automatic organization of conversations using Cerebro Topics, and privacy controls to hide sensitive topics during demonstrations. Configuration is streamlined, with the dashboard auto-detecting the OpenClaw workspace, and options to override this via environment variables. Openclaw Command Center can be installed locally via CLI commands and runs as a server accessible at a specified local address. For authentication, it supports multiple modes: none (for local development), token-based, Tailscale for team VPNs, and Cloudflare for public deployments. The tool exposes API endpoints for unified dashboard data, live event streams, and health checks, facilitating integration with other systems or workflows. It is distributed as part of the wider OpenClaw ecosystem, which includes various skills, plugins, and related projects. The tool is released under the MIT-0 license, indicating a permissive open-source model. It is maintained by ClawHub and integrates with the broader suite of OpenClaw agent management tools and plugins. Openclaw Command Center is suitable for developers, operators, or teams seeking comprehensive oversight and management of AI agent operations within the OpenClaw environment.

Claw Lens provides a local dashboard designed specifically for users of OpenClaw AI agents, offering a comprehensive suite of observability, cost analytics, security auditing, and debugging tools. The platform addresses the challenge of understanding and monitoring the internal operations of AI agents, making otherwise opaque processes—such as tool calls, retries, and token usage—visible in real time. It is intended for those who run OpenClaw agents locally and want detailed insight into their behavior, performance, and security. The dashboard features a live monitor that streams agent activity as it happens, showing each agent’s status, tool calls, and potential issues like looping, all delivered over WebSocket. Cost and token analytics allow users to track spending by day, model, or agent, analyze cache hit rates, and break down costs per session. Sessions are presented in a filterable table, with the ability to drill down into detailed metrics such as model usage, context pressure, cache activity, errors, and latency. The session timeline displays a Gantt chart of every LLM call and tool invocation, helping users identify where time is spent and spot performance bottlenecks. Additional features include an agent overview with health status, error history, and activity trends; a security audit that automatically scans for credential leaks, prompt injection attempts, dangerous commands, and data exfiltration, providing risk scoring and per-agent security profiles; and a context breakdown visualization to track how prompts, history, and tool results fill the context window during API calls. The tool also offers cron job detection, tool profiling for latency and failures, deep turn detection for identifying looping behavior, and cache trace visualization for debugging cache misses. Claw Lens operates entirely on the user’s machine, requiring no account, API key, or external service. It is launched via a single command and auto-detects the OpenClaw home directory to read agent logs locally, ensuring all data remains private. js 18 or higher.

Clawsify Ai is a platform designed to simplify the deployment and management of OpenClaw AI assistants on a user's own VPS infrastructure. Built on the OpenClaw system, which enables the creation of AI assistants capable of conversation, memory, and performing various tasks, Clawsify focuses on making these capabilities accessible without requiring coding knowledge. The platform emphasizes ease of use, offering a streamlined, four-step process: sign up (with one-click Google authentication), select a persona, connect an AI model, and deploy the assistant. Clawsify supports the creation and customization of AI personas, allowing users to define their assistants' personality, values, tools, and memory through a conversational AI builder. This builder generates configuration files for the assistant based on the user's input. The platform highlights use cases such as scheduling meetings, summarizing emails, drafting replies, translating messages, tracking subscriptions, sending deadline reminders, planning weeks, and providing meeting notes and time zone assistance. These features are aimed at supporting daily tasks, learning, and business-related work. Deployment is designed to be rapid, with claims of going live in as little as one to two minutes, and the process does not require direct interaction with Linux or SSH. Clawsify offers a marketplace for personas, skills, and templates, and provides webhook and dashboard controls for management. The platform is delivered as a web-based service that hosts a live OpenClaw instance on dedicated, single-tenant VPS servers. Users can connect their own AI model endpoints, including those compatible with OpenAI. A three-day free trial is available without requiring a credit card, after which users can choose to pay to continue using the service. Clawsify positions itself as a solution for individuals or businesses seeking to automate tasks and manage social media or communications with AI assistants, all while retaining control over deployment and data by using their own infrastructure.

OpenClaw Arena is a public benchmarking platform for evaluating the performance of AI agents on real-world workflows. It provides leaderboards, cost-effectiveness plots, and detailed model comparisons for researchers and developers to assess agent capabilities.

Claw Kumite is an archived online platform designed as a combat arena for AI agents, where agents engage in adversarial, turn-based matches. The arena's primary focus was to facilitate AI agents fighting to the death using tactics such as social engineering, deception, and strategic use of tools. Agents could attempt to trick opponents into leaking secret tokens, call disguised trap tools, or execute destructive shell commands, each leading to instant defeat under specific kill conditions. The system did not rely on subjective judgment or voting; instead, it enforced four explicit loss conditions: revealing a secret flag, invoking a lethal tool, executing a destructive terminal command, or failing to act within a 60-second turn window. Participation required agents to register via the platform's API, join a matchmaking queue, and then compete in matches by exchanging messages through API calls. Each agent operated on its own infrastructure and used its own language model, with the arena acting solely as the message processor. The platform provided documentation for developers to integrate their agents by implementing HTTP clients and strategies, while the arena managed the match protocol and enforcement of rules. Human users could spectate matches in real time, although the primary participants were AI agents. Claw Kumite is currently offline, with the backend deactivated due to lack of ongoing participation. The site remains as an archive, preserving documentation, match transcripts, and information about the platform's mechanics. There is no mention of pricing, licensing, or open-source status in the available information. The tool was created by an individual identified as @prettyblocks. The arena positioned itself as an open environment for AI agents to test adversarial strategies, with humans invited to observe but not participate directly.

ClawMud is an AI-driven open world MUD (Multi-User Dungeon) where autonomous agents, powered by large language models, interact within a persistent virtual environment modeled on real-world geography. The platform allows users to deploy their own AI agents, which are then placed in one of 193 capital cities, each mapped to actual districts such as Shinjuku, Westminster, and Banqiao. Upon joining, an agent is registered via REST API, receives a unique ID, and begins its journey in a starter village equipped with a wooden sword and three potions. Gameplay in ClawMud is entirely agent-driven; users do not script or directly control actions. Instead, the AI agent observes its environment every five seconds, makes independent decisions—such as fighting monsters, trading, or exploring—and acts accordingly. The world features over 4,300 types of monsters, dynamic real-world weather conditions sourced from Open-Meteo, and events triggered by cryptocurrency price changes, which can lead to phenomena like gold rain or boss monster spawns. Agents can engage in player-versus-player combat, interact with over 500 non-player characters (NPCs) including merchants and trainers, and participate in a trade system where resources and opportunities vary by city and climate. A live dashboard enables users to monitor their agent’s actions in real time, following their progress as they explore, fight, trade, and evolve. The game incorporates three skill trees—combat, trade, and scout—that develop through the agent’s actions. Loot, including weapons, armor, and potions, is distributed across four rarity tiers, and agents can buy, sell, or haggle for gear in city shops. The persistent world continues to evolve even when users are not actively watching, with agents able to die, respawn, and grow stronger over time. 0 by Wizards of the Coast, and utilizes data from the D&D 5e SRD API. The service is currently in early testing, and technical incidents may affect data persistence. The platform is designed for those interested in AI agent-based simulations and persistent, autonomous virtual worlds.

OpenClaw AI is an open-source personal AI agent that runs locally or self-hosted, automating tasks like email, calendar, and smart home control. It features a plugin system, persistent memory, and privacy-focused design for developers and advanced users.

ClawRemote AI is a mobile command center for managing OpenClaw Gateways and autonomous agents. It offers secure authentication, real-time telemetry, streaming chat, integrated terminal access, and QR code pairing, targeting professionals managing distributed automation systems.

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.

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.

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}

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.

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.

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.

Clawther is an AI-powered task management tool designed for OpenClaw agents, featuring a Notion-powered task board to organize, track, and prevent duplication of tasks. It helps users maintain clarity and efficiency in managing agent-driven workflows.

ClawMem is an open-source framework that provides a shared memory layer for AI agents, enabling context and memory to persist across sessions and agent handoffs. It supports integration with multiple agent frameworks and the Model Context Protocol (MCP), making it valuable for developers building complex agent systems.

Claw Patrol is a security firewall designed specifically for AI agents, offering a comprehensive proxy solution that intercepts and inspects all agent traffic. It addresses the challenges of credential protection, granular action control, and auditability in automated agent workflows. The tool is intended for scenarios where agents interact with sensitive systems such as databases, APIs, and Kubernetes clusters, and where traditional access controls are insufficient to prevent misuse or unintentional data exposure. The platform operates by acting as a proxy between agents and their targets, parsing traffic at the wire level and enforcing custom, user-authored rules on every outbound request. These rules can match on various attributes, including HTTP methods, SQL verbs, Kubernetes resources, and more. For example, Claw Patrol can block destructive SQL functions, restrict sensitive Kubernetes exec commands, and gate HTTP requests based on detailed criteria. The rule engine supports advanced logic, such as routing requests through an LLM judge to scan for unsafe content or requiring human approval for ambiguous or high-risk actions. Approvals can be handled by either a model with a custom prompt or a human operator via Slack, the dashboard, or a webhook, with verdicts cached to optimize performance and cost. Claw Patrol maintains an audit log of all actions, enabling operators to reconstruct the sequence of agent activities without correlating logs from multiple sources. The tool includes an admin dashboard for monitoring, managing, and drilling down into captured requests. It also supports regression testing of rules, allowing users to record real actions, replay them against policy changes, and catch unintended rule effects before deployment. The testing environment is self-contained, requiring only the rule configuration and recorded fixtures. Integration with agents is achieved by prefixing agent commands with 'clawpatrol run', maintaining existing workflows while adding security oversight. The tool is delivered as a single binary that can be installed via a shell script. Claw Patrol supports extensibility through plugins and is positioned as a holistic security solution for agent operations, focusing on safeguarding credentials, enforcing fine-grained controls, and ensuring comprehensive visibility into agent behavior.

HybridClaw is an open-source runtime designed for deploying and operating AI agents equipped with business-specific skills. Targeted at enterprise use, it provides a secure, resilient, and scalable platform for running AI agents that can automate and coordinate tasks across business functions such as finance, sales, support, business intelligence, operations, IT, and administration. The platform emphasizes compliance, observability, and control, aiming to address common enterprise requirements like security, auditability, and cost management. The tool features over 35 verified business skills and 17 built-in tools, each evaluated for performance, security, and reliability. HybridClaw supports integration with various communication channels, including Discord, Teams, iMessage, WhatsApp, Slack, Signal, email, web, and terminal interfaces, enabling agents to interact consistently across different environments. It facilitates access to company knowledge, tool usage, permissions, and secure handling of credentials. Agents can operate autonomously, execute browser automation, manage workflows via cron or triggers, delegate tasks to subagents, and collaborate on complex assignments. The runtime includes observability features such as monitoring dashboards, telemetry, and KPIs, allowing operators to track latency, cost per task, evaluation scores, and safety incidents. Built-in audit logs, secrets management, and role-based access controls support enterprise compliance and transparency, with mechanisms for human approvals, rollback, and sensitive data redaction. HybridClaw can be deployed as a self-hosted open-source solution or as a managed cloud service hosted in the EU. The platform is compliant with relevant data protection regulations (DSGVO and AI Act) and is designed to avoid vendor lock-in. It provides a management layer (HybridAI) for operational aspects like permissions, secrets, audit logs, observability, budgets, and deployment. The system supports over 100 LLM models and offers both ready-made and customizable skills for integration with business tools such as Salesforce, HubSpot, Google Workspace, Microsoft 365, GitHub, Jira, Confluence, and Twilio Voice. Each agent maintains an auditable performance profile, with tests and evaluations to ensure reliability and early detection of quality issues. HybridClaw is positioned as a solution for companies seeking to deploy production-grade AI agents with full enterprise oversight and compliance.

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.

ClawMail provides an API and CLI for AI agents and developers to send and receive emails programmatically. It offers dedicated inboxes, simple configuration, and eliminates the need for OAuth, making it easy to integrate email capabilities into AI workflows and automation tools.

Clawsec is an open-source security middleware designed to provide guardrails for AI agents, particularly those built with the OpenClaw framework. The tool addresses the risks posed by agentic AI systems that often operate with root access and lack built-in security measures, exposing them to threats such as prompt injection, secret leakage, unauthorized purchases, and data exfiltration. Clawsec is intended to mitigate these vulnerabilities by intercepting and evaluating potentially dangerous actions before they are executed. The platform functions by integrating directly as a plugin with OpenClaw, where it intercepts every tool invocation—including shell commands, HTTP requests, and file operations—using its middleware layer. Each intercepted action is assessed by a rules engine that matches the action against a set of built-in, configurable rulesets. , payment APIs), privilege escalation, and prompt injection. The evaluation process is designed to complete in under five milliseconds. yaml). Actions include blocking the request, requiring human confirmation, or allowing the action with a full audit log. The configuration is extensible and can be customized to suit different security requirements, with new rulesets being released regularly. Installation is streamlined, requiring only a single command to add the plugin to an OpenClaw agent, and the tool auto-generates its configuration file for quick setup. Clawsec is distributed under the MIT License and is openly available for use and extension. It is positioned as a security platform for AI agents, with a particular focus on developers and teams deploying agentic AI systems that require robust, configurable security controls.

OpenClaw is an open-source framework for deploying autonomous AI agents that connect to platforms like WhatsApp, Discord, Slack, and Telegram. It offers Docker-based deployment, persistent memory, and integration with multiple AI models, enabling developers to build and manage proactive, always-on agents.

clawlock is an open-source CLI toolkit for security scanning, red-teaming, and hardening of Claw-based AI agent deployments. It helps security engineers identify vulnerabilities such as prompt injection and supply chain risks in AI systems.

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.