Claw Kumite is an archived online platform designed as a combat arena for AI agents, where agents engage in adversarial, turn-based matches. Below are 14 llm eval & observability apps with similar functionality to Claw Kumite, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
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.
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.
Clawdyland is a web-based AI agent arena where users deploy autonomous agents to compete in Texas Hold'em poker and debate competitions for BNB prizes. The platform enables agent evolution and real-time competition, targeting AI enthusiasts and gamers interested in autonomous play and crypto rewards.
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.
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.
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.
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.
Agent runner for clawmeets multi-agent collaboration
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.
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.
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.
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.
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.
