Home/Compare/agentos vs memU

Comparison

agentos vs memU

Verdict

Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; pick memU if memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs.

Markdown twin · agentos alternatives · memU alternatives

GraphCanon updated 3w

agentos logo

agentos

framerslab/agentos

601pushed Jul 22, 2026
vs
memU logo

memU

NevaMind-AI/memU

14kpushed Jul 26, 2026

Trust & integrity

SignalagentosmemU
Maintenance
Very active (1d since push)
As of 1mo · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 1mo · github_public_v1
Not a fork · Organization account
As of 3w · 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

agentos
TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration
memU
Personal memory for agents with fast retrieval and self-evolving skills

Stars

agentos
601
memU
14k

Forks

agentos
89
memU
1.0k

Open issues

agentos
9
memU
94

Language

agentos
TypeScript
memU
Python

Adopt for

agentos
AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.
memU
memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs.

Persona

agentos
-
memU
-

Runtime

agentos
-
memU
-

License

agentos
Apache-2.0
memU
Other

Last pushed

agentos
Jul 22, 2026
memU
Jul 26, 2026

Categories

agentos
AI Agents
memU
AI Agents

Trust and health

Days since push

agentos
1d
memU
0d

Open issues (now)

agentos
9
memU
94

Full report

Choose agentos if…

  • agentos is primarily TypeScript; memU is Python.
  • License: agentos is Apache-2.0, memU is Other.
  • 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

Choose memU if…

  • memU is primarily Python; agentos is TypeScript.
  • License: memU is Other, agentos is Apache-2.0.
  • Tags unique to memU: agent-memory, claude-skills, harness, loop-engineering.
  • Use memU when your project requires fast access to stored agent actions and memories which can adapt over time without needing human intervention.

When NOT to use memU

  • Avoid using memU if your application mandates proprietary memory systems that are tightly integrated with specific agent architectures not supported by memU.
  • memU is unsuitable for projects where the customizability and control over skill evolution are limited or require extensive manual adjustments, as this tool emphasizes self-evolving features.

Explore

Sources

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

GitHub stars on cards: agentos 601 · memU 14k (synced Jul 23, 2026).

Common questions

What is the difference between agentos and memU?
agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. memU: Personal memory for agents with fast retrieval and self-evolving skills. See the comparison table for live GitHub stats and shared categories.
When should I choose agentos over memU?
Choose agentos over memU when agentos is primarily TypeScript; memU is Python; License: agentos is Apache-2.0, memU is Other; 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 choose memU over agentos?
Choose memU over agentos when memU is primarily Python; agentos is TypeScript; License: memU is Other, agentos is Apache-2.0; Tags unique to memU: agent-memory, claude-skills, harness, loop-engineering; Use memU when your project requires fast access to stored agent actions and memories which can adapt over time without needing human intervention.
When should I avoid agentos?
Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options
When should I avoid memU?
Avoid using memU if your application mandates proprietary memory systems that are tightly integrated with specific agent architectures not supported by memU. memU is unsuitable for projects where the customizability and control over skill evolution are limited or require extensive manual adjustments, as this tool emphasizes self-evolving features.
Is agentos or memU more popular on GitHub?
memU has more GitHub stars (14,062 vs 601). Stars measure visibility, not whether either tool fits your constraints.
Are agentos and memU open source?
Yes - both are open-source projects on GitHub (agentos: Apache-2.0, memU: Other).
Where can I find alternatives to agentos or memU?
GraphCanon lists graph-backed alternatives at agentos alternatives and memU alternatives (agentos markdown twin, memU 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, agentos or memU?
agentos: Very active. memU: Very 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 agentos and memU?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentos trust report; memU trust report.

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