Comparison
MetaClaw vs swarmclaw
Verdict
Pick MetaClaw if metaClaw enables AI agents to evolve through continuous learning and interaction; pick swarmclaw if swarmClaw is an open-source self-hosted AI agent runtime and multi-agent framework that supports agent memory, MCP tools, schedules, delegation, and integrates with over 23 LLM providers.
Markdown twin · MetaClaw alternatives · swarmclaw alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | MetaClaw | swarmclaw |
|---|---|---|
| Maintenance | Slowing (104d since push) As of Sep 19, 2026 · github_public_v1 | Steady (79d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- MetaClaw
- Simply converse with your agent, it learns and evolves
- swarmclaw
- Open-source self-hosted AI agent runtime and multi-agent framework
Stars
- MetaClaw
- 3.5k
- swarmclaw
- 673
Forks
- MetaClaw
- 454
- swarmclaw
- 137
Open issues
- MetaClaw
- 17
- swarmclaw
- 18
Language
- MetaClaw
- Python
- swarmclaw
- TypeScript
Adopt for
- MetaClaw
- MetaClaw enables AI agents to evolve through continuous learning and interaction.
- swarmclaw
- SwarmClaw is an open-source self-hosted AI agent runtime and multi-agent framework that supports agent memory, MCP tools, schedules, delegation, and integrates with over 23 LLM providers.
Persona
- MetaClaw
- -
- swarmclaw
- -
Runtime
- MetaClaw
- -
- swarmclaw
- -
License
- MetaClaw
- MIT
- swarmclaw
- MIT
Last pushed
- MetaClaw
- Jun 7, 2026
- swarmclaw
- Jun 30, 2026
Categories
- MetaClaw
- AI Agents, Model Training
- swarmclaw
- AI Agents, Inference & Serving, Model Training
Trust and health
Maintenance
- MetaClaw
- Slowing (36%)
- swarmclaw
- Steady (60%)
Days since push
- MetaClaw
- 104d
- swarmclaw
- 79d
Open issues (now)
- MetaClaw
- 17
- swarmclaw
- 18
Stars delta
- MetaClaw
- +21 (30d)
- swarmclaw
- +43 (30d)
Open issues delta
- MetaClaw
- 0 (30d)
- swarmclaw
- +5 (30d)
Full report
- MetaClaw
- Trust report
- swarmclaw
- Trust report
Shared compatibility
- Node.js · MetaClaw: Node.js runtime · swarmclaw: Node.js runtime
Choose MetaClaw if…
- MetaClaw is primarily Python; swarmclaw is TypeScript.
- Tags unique to MetaClaw: agent, ai-agent, continual-learning, fine-tuning.
- Need an agent that evolves and fine-tunes over time with user interactions.
When NOT to use MetaClaw
- Avoid if you need static models without evolving capabilities based on new data.
- Not suitable for scenarios requiring immediate model stability post-training, as continuous updates can vary results.
Choose swarmclaw if…
- swarmclaw is primarily TypeScript; MetaClaw is Python.
- Tags unique to swarmclaw: agent-framework, agent-memory, agent-runtime, agent-swarm.
- Also covers Inference & Serving.
- swarmclaw ships Docker support for self-hosted deployment.
- swarmclaw ships an MCP server manifest.
- When you need a self-hosted solution for managing autonomous agent swarms with support for agent memory and MCP tools.
When NOT to use swarmclaw
- If you are looking for a solution that does not require self-hosting and prefer a fully managed service.
- When your project strictly requires a specific LLM provider not supported by SwarmClaw, or if you need a more specialized agent framework that SwarmClaw does not cater to.
- If your deployment environment does not support Node.js 22.6+ or Docker, which are prerequisites for running SwarmClaw.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aiming-lab/MetaClaw) · observed Sep 20, 2026
- GitHub forks (aiming-lab/MetaClaw) · observed Sep 20, 2026
- Last push (aiming-lab/MetaClaw) · observed Jun 7, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (swarmclawai/swarmclaw) · observed Sep 20, 2026
- GitHub forks (swarmclawai/swarmclaw) · observed Sep 20, 2026
- Last push (swarmclawai/swarmclaw) · observed Jun 30, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: MetaClaw 3.5k · swarmclaw 673 (synced Sep 20, 2026).
Common questions
- What is the difference between MetaClaw and swarmclaw?
- MetaClaw: Simply converse with your agent, it learns and evolves. swarmclaw: Open-source self-hosted AI agent runtime and multi-agent framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose MetaClaw over swarmclaw?
- Choose MetaClaw over swarmclaw when MetaClaw is primarily Python; swarmclaw is TypeScript; Tags unique to MetaClaw: agent, ai-agent, continual-learning, fine-tuning; Need an agent that evolves and fine-tunes over time with user interactions.
- When should I choose swarmclaw over MetaClaw?
- Choose swarmclaw over MetaClaw when swarmclaw is primarily TypeScript; MetaClaw is Python; Tags unique to swarmclaw: agent-framework, agent-memory, agent-runtime, agent-swarm; Also covers Inference & Serving; swarmclaw ships Docker support for self-hosted deployment; swarmclaw ships an MCP server manifest; When you need a self-hosted solution for managing autonomous agent swarms with support for agent memory and MCP tools.
- When should I avoid MetaClaw?
- Avoid if you need static models without evolving capabilities based on new data. Not suitable for scenarios requiring immediate model stability post-training, as continuous updates can vary results.
- When should I avoid swarmclaw?
- If you are looking for a solution that does not require self-hosting and prefer a fully managed service. When your project strictly requires a specific LLM provider not supported by SwarmClaw, or if you need a more specialized agent framework that SwarmClaw does not cater to. If your deployment environment does not support Node.js 22.6+ or Docker, which are prerequisites for running SwarmClaw.
- Is MetaClaw or swarmclaw more popular on GitHub?
- MetaClaw has more GitHub stars (3,493 vs 673). Stars measure visibility, not whether either tool fits your constraints.
- Are MetaClaw and swarmclaw open source?
- Yes - both are open-source projects on GitHub (MetaClaw: MIT, swarmclaw: MIT).
- Where can I find alternatives to MetaClaw or swarmclaw?
- GraphCanon lists graph-backed alternatives at MetaClaw alternatives and swarmclaw alternatives (MetaClaw markdown twin, swarmclaw 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, MetaClaw or swarmclaw?
- MetaClaw: Slowing. swarmclaw: 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 MetaClaw and swarmclaw?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MetaClaw trust report; swarmclaw trust report.