Comparison
agent-learning-kit vs myclaw-bench
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.
Markdown twin · agent-learning-kit alternatives · myclaw-bench alternatives
GraphCanon updated Sep 20, 2026
5views this month
Trust & integrity
| Signal | agent-learning-kit | myclaw-bench |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Steady (61d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agent-learning-kit
- General Purpose Evaluation and Simulation Environment for all your AI related Workflows
- myclaw-bench
- Benchmark for AI agents on OpenClaw
Stars
- agent-learning-kit
- 119
- myclaw-bench
- 223
Forks
- agent-learning-kit
- 44
- myclaw-bench
- 36
Open issues
- agent-learning-kit
- 19
- myclaw-bench
- 2
Language
- agent-learning-kit
- Python
- myclaw-bench
- Python
Adopt for
- agent-learning-kit
- 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
- myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform.
Persona
- agent-learning-kit
- -
- myclaw-bench
- -
Runtime
- agent-learning-kit
- -
- myclaw-bench
- -
License
- agent-learning-kit
- Other
- myclaw-bench
- MIT
Last pushed
- agent-learning-kit
- Sep 18, 2026
- myclaw-bench
- Jul 20, 2026
Categories
- agent-learning-kit
- AI Agents, Evaluation & Observability
- myclaw-bench
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-learning-kit
- Very active (96%)
- myclaw-bench
- Steady (60%)
Days since push
- agent-learning-kit
- 0d
- myclaw-bench
- 61d
Open issues (now)
- agent-learning-kit
- 19
- myclaw-bench
- 2
Stars delta
- agent-learning-kit
- +1 (30d)
- myclaw-bench
- -4 (30d)
Open issues delta
- agent-learning-kit
- +13 (30d)
- myclaw-bench
- 0 (30d)
Owner type
- agent-learning-kit
- Organization
- myclaw-bench
- User
Full report
- agent-learning-kit
- Trust report
- myclaw-bench
- Trust report
Shared compatibility
- Python · agent-learning-kit: Python runtime · myclaw-bench: Python runtime
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (future-agi/agent-learning-kit) · observed Sep 20, 2026
- GitHub forks (future-agi/agent-learning-kit) · observed Sep 20, 2026
- Last push (future-agi/agent-learning-kit) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (LeoYeAI/myclaw-bench) · observed Sep 20, 2026
- GitHub forks (LeoYeAI/myclaw-bench) · observed Sep 20, 2026
- Last push (LeoYeAI/myclaw-bench) · observed Jul 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-learning-kit 119 · myclaw-bench 223 (synced Sep 20, 2026).
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 and myclaw-bench alternatives (agent-learning-kit markdown twin, myclaw-bench markdown twin), 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 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; myclaw-bench trust report.