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Comparison

agent-protocol vs core

Verdict

Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; 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.

Markdown twin · agent-protocol alternatives · core alternatives

GraphCanon updated Oct 8, 2026

10views this month

agent-protocol logo

agent-protocol

agi-inc/agent-protocol

★ 1.5kpushed Apr 8, 2025
vs
core logo

core

cheshire-cat-ai/core

★ 3.1kpushed Jul 29, 2026

Trust & integrity

Signalagent-protocolcore
Maintenance
Dormant (547d since push)
As of Oct 8, 2026 · github_public_v1
Steady (50d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Oct 8, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 20, 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
agent-protocol trust reportcore trust reportTrust methodology

Tagline

agent-protocol
Common interface for AI agents
core
AI agent microservice

Stars

agent-protocol
1.5k
core
3.1k

Forks

agent-protocol
189
core
409

Open issues

agent-protocol
50
core
11

Language

agent-protocol
Python
core
Python

Adopt for

agent-protocol
agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking.
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.

Persona

agent-protocol
-
core
-

Runtime

agent-protocol
-
core
-

License

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

Last pushed

agent-protocol
Apr 8, 2025
core
Jul 29, 2026

Categories

agent-protocol
AI Agents
core
AI Agents

Trust and health

Maintenance

agent-protocol
Dormant (18%)
core
Steady (60%)

Days since push

agent-protocol
547d
core
50d

Open issues (now)

agent-protocol
50
core
11

Stars delta

agent-protocol
+4 (30d)
core
+5 (30d)

Open issues delta

agent-protocol
+1 (30d)
core
+3 (30d)

OSV dependency advisories

agent-protocol
Published findings
core
No lockfile (source not queried)

Full report

agent-protocol
Trust report
core
Trust report

Choose agent-protocol if…

  • License: agent-protocol is MIT, core is GPL-3.0.
  • Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt.
  • When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.

When NOT to use agent-protocol

  • If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope.
  • When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
GitHubDetails

Choose core if…

  • License: core is GPL-3.0, agent-protocol 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

Explore

agent-protocol trust report →core 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: agent-protocol 1.5k · core 3.1k (synced Oct 8, 2026).

Common questions

What is the difference between agent-protocol and core?
agent-protocol: Common interface for AI agents. core: AI agent microservice. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-protocol over core?
Choose agent-protocol over core when License: agent-protocol is MIT, core is GPL-3.0; Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
When should I choose core over agent-protocol?
Choose core over agent-protocol when License: core is GPL-3.0, agent-protocol 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 avoid agent-protocol?
If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
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.
Is agent-protocol or core more popular on GitHub?
core has more GitHub stars (3,086 vs 1,458). Stars measure visibility, not whether either tool fits your constraints.
Are agent-protocol and core open source?
Yes - both are open-source projects on GitHub (agent-protocol: MIT, core: GPL-3.0).
Where can I find alternatives to agent-protocol or core?
GraphCanon lists graph-backed alternatives at agent-protocol alternatives and core alternatives (agent-protocol markdown twin, core 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, agent-protocol or core?
agent-protocol: Dormant. core: 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 agent-protocol and core?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-protocol trust report; core trust report.

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