Claw Lens Alternatives

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.

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.

ClawMetry provides a live monitoring solution for AI agent activity, offering users immediate visibility into the operations of their agents and sub-agents. The platform is designed to help users track every agent, session, and tool call as they happen, giving a real-time window into ongoing processes. ClawMetry emphasizes monitoring token usage by tying every token to the specific task that consumed it, enabling users to keep close tabs on spending and resource allocation. A notable feature of ClawMetry is its ability to detect and alert users to runaway loops, flagging these before they can result in excessive costs. The service supports integration with 14 different runtimes, including OpenClaw, NVIDIA NemoClaw, NanoClaw, PicoClaw, Claude Code, Codex, Cursor, Aider, Goose, OpenCode, Qwen, Hermes, Pi, and Deep Agents, consolidating monitoring across these environments into a single dashboard. Users can connect their agents to ClawMetry Cloud by installing the platform via a provided script and connecting with an API key, which works across multiple machines. ClawMetry is accessible via a web dashboard and requires users to sign in using GitHub, Google, or email verification. The platform offers end-to-end encryption and allows users to start for free, with additional information about plans and pricing available through its site. The tool is positioned for those managing AI agents who need real-time oversight of activity and costs across diverse agent frameworks.

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.

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.

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 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.

EctoClaw is a local firewall and cryptographic audit ledger designed for OpenClaw agents, providing teams with oversight and control over agent activities. The platform enables users to observe agent behavior, enforce operational policies, and generate compliance evidence, addressing the need for transparent and secure AI agent management. Key features include capturing the full lifecycle of OpenClaw agents, enforcing policy decisions with allow and deny controls, implementing content filters, setting maximum step guardrails, and triggering approval for sensitive actions. EctoClaw also emits compliance evidence and supports incident investigation by tracing specific skills, tools, or model responses that led to unexpected actions. For regulated environments, it facilitates agent compliance reviews by generating defensible records of agent runs without requiring changes to business logic. Enterprise audit exports are available, producing report bundles with cryptographic verification material for security and legal review. The platform is equipped with a REST API, server-sent events (SSE) stream, dashboard views, metrics, and compliance bundles to support active governance. Developer tooling includes a typed SDK, CLI commands for serving, verification, reporting, and session management, as well as demo scripts and a CI-ready build and test pipeline. Integration is possible via REST API, SDK, or an OpenClaw plugin package, which enables automatic event capture from message, skill, tool, and model lifecycle hooks. EctoClaw ensures cryptographic integrity through SHA-256 chain hashing, Ed25519 signatures, and Merkle roots, securing the integrity of events and sessions. Events from OpenClaw agents, the REST API, or the SDK are evaluated by a policy engine, then hashed, signed, and appended to an immutable SQLite ledger. The dashboard provides live event feeds, displays policy violations, and allows session drill-down for detailed visibility. The tool is built and maintained by EctoSpace and is intended for use within OpenClaw ecosystems.

OpenClaw AI is an AI assistant designed to automate a wide range of digital tasks, offering users a personal, always-online bot instance. It addresses needs such as workflow automation, browser control, code and development tasks, file and system management, smart home device integration, app and API connectivity, and content creation. The platform aims to simplify digital life by handling repetitive tasks like emails, reminders, and scheduling, as well as providing features for code review, test generation, refactoring, and managing GitHub repositories. Among its capabilities, OpenClaw AI can fill forms, scrape data, and browse the web using its browser relay functionality. It also manages local files after installation or through Docker deployments, and allows users to control smart home devices via integration with Home Assistant. The assistant supports connecting with applications and services such as Slack, Discord, GitHub, and databases, and enables users to extend its skills through APIs. For content-related tasks, it can generate images, edit videos, and write documents as part of its workflow automation. OpenClaw AI is delivered as a private, always-online instance, with no sharing between users. It offers zero-configuration setup and is managed by the provider, handling updates, security, scaling, and maintenance in the background. The platform is offered through subscription plans tailored to different usage levels: Lite, Pro, and Max. Each plan includes a dedicated virtual environment with specified resources (vCPU, RAM, SSD), end-to-end encryption, daily backups, and no maintenance requirements for the user. Higher-tier plans add features like priority support. OpenClaw AI positions itself as a comprehensive assistant for both personal projects and power users who rely on AI daily.

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.

ClawdSecbot is an AI-powered security solution specifically designed to protect Openclaw environments from a range of security threats. It employs AI-driven detection engines to safeguard against prompt injection, intent deviation, permission overreach, and related vulnerabilities in real time. The platform aims to provide comprehensive security coverage for all aspects of Openclaw, building a robust protection system that addresses both immediate threats and longer-term auditing needs. Key features of ClawdSecbot include real-time threat detection, prompt injection detection using deep semantic analysis, and intent deviation monitoring to ensure AI responses remain within expected boundaries. The tool offers intelligent interception strategies, automatic threat recognition, and AI-driven real-time traffic analysis. It also provides security scanning for skills or plugins loaded by Openclaw, detecting risks such as data leakage, permission overreach, and malicious tool calls. Access control policies can be configured flexibly, including blacklist and whitelist management, path interception, and tool call restrictions for fine-grained control over Openclaw's capabilities. The platform maintains comprehensive security audit logs, supporting multi-dimensional retrieval and analysis to meet compliance and tracing requirements. Additionally, ClawdSecbot includes a Key Vault feature for encrypted API key management to prevent leaks. 04+, Debian 11+, Fedora 36+). All data is processed locally, with no need to upload information to the cloud, ensuring privacy and security. The tool features an extensible rule engine that supports custom detection strategies and a plugin extension mechanism, which allows adaptation to other Openclaw-like AI agents. The platform is open source, free to use, and available for download from GitHub. ClawdSecbot is developed by HONG KONG DAS-Security INTERNATIONAL LIMITED. It is positioned as a next-generation security platform for AI environments, offering a multi-layer protection architecture and advanced AI detection capabilities.

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.

clawdcursor is a cross-platform, open-source local MCP server designed to provide safe desktop control for AI agents on Windows, macOS, and Linux. It enables agents to interact with the desktop environment by reading the screen as stable element IDs—derived from a combination of accessibility trees and OCR—rather than pixels, ensuring actions are robust against changes such as DPI scaling, window resizing, or layout shifts. Every action performed by an agent is verified and routed through a single safety gate, with deviations reported if the UI does not respond as expected. The tool offers both compound and granular tool interfaces, with seven compound tools recommended for general use and ninety-eight granular tools available for compatibility and debugging. These tools cover a wide range of desktop automation capabilities, including mouse and keyboard input, screenshot capture, UI navigation by accessibility elements, window management, system clipboard operations, OCR, shortcut handling, browser automation via the Chrome DevTools Protocol, and task delegation to an autonomous loop in daemon mode. Actions can be batched into single, guarded round-trips, and the platform supports platform-aware keyboard shortcuts. clawdcursor can be installed quickly via npm for macOS and Linux or through a Windows installer, with setup requiring explicit user consent for desktop control and, on macOS, additional accessibility and screen recording permissions. It supports two primary modes of agent communication: a recommended stdio-based MCP server for integration with code editors, and an optional HTTP MCP daemon that can run with or without a built-in LLM. By default, all operations are restricted to localhost for security, and the tool does not collect telemetry. The software is distributed under the MIT license, making it freely available for use and modification. Its design is aimed at developers building or integrating AI agents that require verifiable, local desktop automation across major operating systems, without reliance on cloud infrastructure.

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.

OpenClaw is an open-source personal AI assistant designed to automate tasks such as organizing inboxes, sending emails, managing calendars, and checking in for flights. It enables users to interact with these capabilities directly through WhatsApp, Telegram, or other chat applications they already use, aiming to integrate AI-driven assistance into everyday communication platforms. The tool is intended for individuals seeking to streamline personal and productivity tasks using AI. OpenClaw can be installed locally on a user's machine, supporting macOS, Linux, and Windows. Installation options include a one-liner script, npm, pnpm, and direct source code checkouts via GitHub. Companion apps are available in beta for both macOS and Windows, offering native controls for gateway, chat, setup, and node features. The platform is described as hackable, suggesting extensibility for those interested in customizing or contributing to its development. js as part of its installation process. The tool is positioned as open source, allowing users to review and modify its code. It also supports operation in enterprise environments, with references to running natively on Windows using Microsoft Execution Containers for enhanced safety. The platform is maintained by a community of contributors and was created by Peter Steinberger. As an open-source solution, OpenClaw is available for users to install and use on their own hardware without mention of required licensing fees. Its focus on running locally emphasizes privacy and user control over AI-driven personal automation.

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.