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Comparison

core vs agent-framework

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 agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.

Markdown twin · core alternatives · agent-framework alternatives

GraphCanon updated Sep 20, 2026

13views this month

core logo

core

cheshire-cat-ai/core

★ 3.1kpushed Jul 29, 2026
vs
agent-framework logo

agent-framework

microsoft/agent-framework

★ 14kpushed Sep 18, 2026

Trust & integrity

Signalcoreagent-framework
Maintenance
Steady (50d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 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 18, 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 15, 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 reportagent-framework trust reportTrust methodology

Tagline

core
AI agent microservice
agent-framework
Framework for building and deploying AI agents and multi-agent workflows

Stars

core
3.1k
agent-framework
14k

Forks

core
409
agent-framework
2.3k

Open issues

core
11
agent-framework
605

Language

core
Python
agent-framework
Python

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.
agent-framework
The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.

Persona

core
-
agent-framework
-

Runtime

core
-
agent-framework
-

License

core
GPL-3.0, which is a copyleft license requiring that any derivative works be released under the same license.
agent-framework
MIT

Last pushed

core
Jul 29, 2026
agent-framework
Sep 18, 2026

Categories

core
AI Agents
agent-framework
AI Agents, Developer Tools

Trust and health

Maintenance

core
Steady (60%)
agent-framework
Very active (96%)

Days since push

core
50d
agent-framework
0d

Open issues (now)

core
11
agent-framework
605

Stars delta

core
+5 (30d)
agent-framework
+855 (30d)

Open issues delta

core
+3 (30d)
agent-framework
-80 (30d)

Full report

core
Trust report
agent-framework
Trust report

Choose core if…

  • License: core is GPL-3.0, agent-framework is MIT.
  • 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 agent-framework if…

  • License: agent-framework is MIT, core is GPL-3.0.
  • Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
  • Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent.
  • Also covers Developer Tools.
  • Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

When NOT to use agent-framework

  • Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
  • Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
GitHubDetails

Explore

core trust report →agent-framework trust report →AI Agents category →Developer Tools 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 · agent-framework 14k (synced Sep 20, 2026).

Common questions

What is the difference between core and agent-framework?
core: AI agent microservice. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose core over agent-framework?
Choose core over agent-framework when License: core is GPL-3.0, agent-framework is MIT; 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 agent-framework over core?
Choose agent-framework over core when License: agent-framework is MIT, core is GPL-3.0; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
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 agent-framework?
Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
Is core or agent-framework more popular on GitHub?
agent-framework has more GitHub stars (13,573 vs 3,086). Stars measure visibility, not whether either tool fits your constraints.
Are core and agent-framework open source?
Yes - both are open-source projects on GitHub (core: GPL-3.0, agent-framework: MIT).
Where can I find alternatives to core or agent-framework?
GraphCanon lists graph-backed alternatives at core alternatives and agent-framework alternatives (core markdown twin, agent-framework 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 agent-framework?
core: Steady. agent-framework: 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 agent-framework?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: core trust report; agent-framework trust report.

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