--- title: "agent-learning-kit vs myclaw-bench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-agent-learning-kit-vs-leoyeai-myclaw-bench" tools: ["future-agi-agent-learning-kit", "leoyeai-myclaw-bench"] --- # agent-learning-kit vs myclaw-bench *GraphCanon updated Sep 20, 2026* ## Verdict Pick agent-learning-kit if agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language; pick myclaw-bench if myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform. [agent-learning-kit](https://futureagi.com) reports 119 GitHub stars, 44 forks, and 19 open issues, last pushed Sep 18, 2026. [myclaw-bench](https://myclaw.ai) has 223 stars, 36 forks, and 2 open issues, last pushed Jul 20, 2026. Figures are from public GitHub metadata via [agent-learning-kit's repository](https://github.com/future-agi/agent-learning-kit) and [myclaw-bench's repository](https://github.com/LeoYeAI/myclaw-bench). | | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | [myclaw-bench](/tools/leoyeai-myclaw-bench.md) | | --- | --- | --- | | Tagline | General Purpose Evaluation and Simulation Environment for all your AI related Workflows | Benchmark for AI agents on OpenClaw | | Stars | 119 | 223 | | Forks | 44 | 36 | | Open issues | 19 | 2 | | Language | Python | Python | | Adopt for | agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language | myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | [myclaw-bench](/tools/leoyeai-myclaw-bench.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 61d | | Open issues (now) | 19 | 2 | | Stars delta | +1 (30d) | -4 (30d) | | Open issues delta | +13 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/future-agi-agent-learning-kit/trust.md) | [trust report](/tools/leoyeai-myclaw-bench/trust.md) | ## Shared compatibility - **Python**: [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) - Python runtime; [myclaw-bench](/tools/leoyeai-myclaw-bench.md) - Python runtime ## Decision facts: agent-learning-kit - **Adopt for:** agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language ## Decision facts: myclaw-bench - **Requirements:** Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management. - **Adopt for:** myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform. ## Choose when ### Choose agent-learning-kit if… - License: agent-learning-kit is Other, myclaw-bench is MIT. - Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation. - When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents ### Choose myclaw-bench if… - License: myclaw-bench is MIT, agent-learning-kit is Other. - Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management.. - Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw. - Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem. ## When NOT to use agent-learning-kit - If your project strictly requires a different programming language other than Python or TypeScript - When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras ## When NOT to use myclaw-bench - Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework. - Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data. ## Common questions ### What is the difference between agent-learning-kit and myclaw-bench? agent-learning-kit: General Purpose Evaluation and Simulation Environment for all your AI related Workflows. myclaw-bench: Benchmark for AI agents on OpenClaw. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-learning-kit over myclaw-bench? Choose agent-learning-kit over myclaw-bench when License: agent-learning-kit is Other, myclaw-bench is MIT; Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation; When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents. ### When should I choose myclaw-bench over agent-learning-kit? Choose myclaw-bench over agent-learning-kit when License: myclaw-bench is MIT, agent-learning-kit is Other; Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management.; Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw; Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem. ### When should I avoid agent-learning-kit? If your project strictly requires a different programming language other than Python or TypeScript When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras ### When should I avoid myclaw-bench? Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework. Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data. ### Is agent-learning-kit or myclaw-bench more popular on GitHub? myclaw-bench has more GitHub stars (223 vs 119). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-learning-kit and myclaw-bench open source? Yes - both are open-source projects on GitHub (agent-learning-kit: Other, myclaw-bench: MIT). ### Where can I find alternatives to agent-learning-kit or myclaw-bench? GraphCanon lists graph-backed alternatives at [agent-learning-kit alternatives](/tools/future-agi-agent-learning-kit/alternatives) and [myclaw-bench alternatives](/tools/leoyeai-myclaw-bench/alternatives) ([agent-learning-kit markdown twin](/tools/future-agi-agent-learning-kit/alternatives.md), [myclaw-bench markdown twin](/tools/leoyeai-myclaw-bench/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/future-agi-agent-learning-kit-vs-leoyeai-myclaw-bench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-learning-kit or myclaw-bench? agent-learning-kit: Very active. myclaw-bench: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agent-learning-kit and myclaw-bench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-learning-kit trust report](/tools/future-agi-agent-learning-kit/trust); [myclaw-bench trust report](/tools/leoyeai-myclaw-bench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-agent-learning-kit`](/api/graphcanon/graph?tool=future-agi-agent-learning-kit) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_