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Comparison

core vs agentos

Verdict

Pick core if cheshire Cat AI, an AI agent microservice, is built in Python and supports function-calling and vector search, making it suitable for projects that require conversational AI capabilities with these features; pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.

Markdown twin · core alternatives · agentos alternatives

GraphCanon updated Sep 20, 2026

9views this month

core logo

core

cheshire-cat-ai/core

★ 3.1kpushed Jul 29, 2026
vs
agentos logo

agentos

framerslab/agentos

★ 670pushed Sep 18, 2026

Trust & integrity

Signalcoreagentos
Maintenance
Steady (50d since push)
As of Sep 18, 2026 · github_public_v1
Very active (1d 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 · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 20, 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
core trust reportagentos trust reportTrust methodology

Tagline

core
AI agent microservice
agentos
TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration

Stars

core
3.1k
agentos
670

Forks

core
409
agentos
97

Open issues

core
11
agentos
11

Language

core
Python
agentos
TypeScript

Adopt for

core
Cheshire Cat AI, an AI agent microservice, is built in Python and supports function-calling and vector search, making it suitable for projects that require conversational AI capabilities with these features.
agentos
AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.

Persona

core
-
agentos
-

Runtime

core
-
agentos
-

License

core
GPL-3.0, which is a copyleft license requiring that any derivative works be released under the same license.
agentos
Apache-2.0

Last pushed

core
Jul 29, 2026
agentos
Sep 18, 2026

Categories

core
AI Agents
agentos
AI Agents

Trust and health

Maintenance

core
Steady (60%)
agentos
Very active (96%)

Days since push

core
50d
agentos
1d

Stars delta

core
+5 (30d)
agentos
+69 (30d)

Open issues delta

core
+3 (30d)
agentos
+2 (30d)

Full report

core
Trust report
agentos
Trust report

Choose core if…

  • core is primarily Python; agentos is TypeScript.
  • License: core is GPL-3.0, agentos is Apache-2.0.
  • Pricing: The code is free and open-source under GPL-3.0, but any derivative works must also be open-source..
  • Requirements: Min 2 GB RAM; Requires Docker; Requires Docker for deployment..
  • Tags unique to core: ag-ui-protocol, agent, ai, assistant.
  • Use Cheshire Cat AI when you need a microservice that supports function-calling and vector search, as it is specifically designed with these features.

When NOT to use core

  • Avoid using Cheshire Cat AI if your project requires proprietary licensing, as it is licensed under GPL-3.0, which may not be compatible with proprietary software.
  • Do not use it if your project does not require or benefit from function-calling or vector search capabilities, as these are core features of Cheshire Cat AI.
GitHubDetails

Choose agentos if…

  • agentos is primarily TypeScript; core is Python.
  • License: agentos is Apache-2.0, core is GPL-3.0.
  • 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
GitHubDetails

Explore

core trust report →agentos trust report →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: core 3.1k · agentos 670 (synced Sep 20, 2026).

Common questions

What is the difference between core and agentos?
core: AI agent microservice. 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 core over agentos?
Choose core over agentos when core is primarily Python; agentos is TypeScript; License: core is GPL-3.0, agentos is Apache-2.0; Pricing: The code is free and open-source under GPL-3.0, but any derivative works must also be open-source.; Requirements: Min 2 GB RAM; Requires Docker; Requires Docker for deployment.; Tags unique to core: ag-ui-protocol, agent, ai, assistant; Use Cheshire Cat AI when you need a microservice that supports function-calling and vector search, as it is specifically designed with these features.
When should I choose agentos over core?
Choose agentos over core when agentos is primarily TypeScript; core is Python; License: agentos is Apache-2.0, core is GPL-3.0; 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 core?
Avoid using Cheshire Cat AI if your project requires proprietary licensing, as it is licensed under GPL-3.0, which may not be compatible with proprietary software. Do not use it if your project does not require or benefit from function-calling or vector search capabilities, as these are core features of Cheshire Cat AI.
When should I avoid agentos?
Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options
Is core or agentos more popular on GitHub?
core has more GitHub stars (3,086 vs 670). Stars measure visibility, not whether either tool fits your constraints.
Are core and agentos open source?
Yes - both are open-source projects on GitHub (core: GPL-3.0, agentos: Apache-2.0).
Where can I find alternatives to core or agentos?
GraphCanon lists graph-backed alternatives at core alternatives and agentos alternatives (core 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, core or agentos?
core: Steady. agentos: 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 core and agentos?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: core trust report; agentos trust report.

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