Home/Compare/MetaClaw vs agentos

Comparison

MetaClaw vs agentos

Verdict

Pick MetaClaw if metaClaw enables AI agents to evolve through continuous learning and interaction; pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.

Markdown twin · MetaClaw alternatives · agentos alternatives

GraphCanon updated 1d

MetaClaw logo

MetaClaw

aiming-lab/MetaClaw

3.5kpushed Jun 7, 2026
vs
agentos logo

agentos

framerslab/agentos

617pushed Aug 7, 2026

Trust & integrity

SignalMetaClawagentos
Maintenance
Steady (77d since push)
As of 1d · github_public_v1
Active (15d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
agentos
TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration

Stars

MetaClaw
3.5k
agentos
617

Forks

MetaClaw
454
agentos
92

Open issues

MetaClaw
17
agentos
10

Language

MetaClaw
Python
agentos
TypeScript

Adopt for

MetaClaw
MetaClaw enables AI agents to evolve through continuous learning and interaction.
agentos
AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.

Persona

MetaClaw
-
agentos
-

Runtime

MetaClaw
-
agentos
-

License

MetaClaw
MIT
agentos
Apache-2.0

Last pushed

MetaClaw
Jun 7, 2026
agentos
Aug 7, 2026

Categories

MetaClaw
AI Agents, Model Training
agentos
AI Agents

Trust and health

Maintenance

MetaClaw
Steady (60%)
agentos
Active (82%)

Days since push

MetaClaw
77d
agentos
15d

Open issues (now)

MetaClaw
17
agentos
10

Stars delta

MetaClaw
+21 (30d)
agentos
+16 (30d)

Open issues delta

MetaClaw
0 (30d)
agentos
+1 (30d)

Full report

MetaClaw
Trust report

Shared compatibility

  • Node.js · MetaClaw: Node.js runtime · agentos: Node.js runtime

Choose MetaClaw if…

  • MetaClaw is primarily Python; agentos is TypeScript.
  • License: MetaClaw is MIT, agentos is Apache-2.0.
  • Tags unique to MetaClaw: agent, ai-agent, continual-learning, fine-tuning.
  • Also covers Model Training.
  • 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 agentos if…

  • agentos is primarily TypeScript; MetaClaw is Python.
  • License: agentos is Apache-2.0, MetaClaw is MIT.
  • Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent.
  • Need for cognitive memory and real-time tool generation in AI agents

When NOT to use agentos

  • Preferring frameworks without multi-agent orchestration support
  • Prioritizing environments with less than eleven LLM provider options

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: MetaClaw 3.5k · agentos 617 (synced Aug 23, 2026).

Common questions

What is the difference between MetaClaw and agentos?
MetaClaw: Simply converse with your agent, it learns and evolves. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories.
When should I choose MetaClaw over agentos?
Choose MetaClaw over agentos when MetaClaw is primarily Python; agentos is TypeScript; License: MetaClaw is MIT, agentos is Apache-2.0; Tags unique to MetaClaw: agent, ai-agent, continual-learning, fine-tuning; Also covers Model Training; Need an agent that evolves and fine-tunes over time with user interactions.
When should I choose agentos over MetaClaw?
Choose agentos over MetaClaw when agentos is primarily TypeScript; MetaClaw is Python; License: agentos is Apache-2.0, MetaClaw is MIT; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents.
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 agentos?
Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options
Is MetaClaw or agentos more popular on GitHub?
MetaClaw has more GitHub stars (3,493 vs 617). Stars measure visibility, not whether either tool fits your constraints.
Are MetaClaw and agentos open source?
Yes - both are open-source projects on GitHub (MetaClaw: MIT, agentos: Apache-2.0).
Where can I find alternatives to MetaClaw or agentos?
GraphCanon lists graph-backed alternatives at MetaClaw alternatives and agentos alternatives (MetaClaw markdown twin, agentos 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 agentos?
MetaClaw: Steady. agentos: Active. 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 agentos?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MetaClaw trust report; agentos trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.