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Comparison

core vs AgentGPT

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 AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for.

Markdown twin · core alternatives · AgentGPT alternatives

GraphCanon updated Sep 20, 2026

7views this month

core logo

core

cheshire-cat-ai/core

★ 3.1kpushed Jul 29, 2026
vs
AgentGPT logo

AgentGPT

reworkd/AgentGPT

★ 36kpushed Apr 29, 2025

Trust & integrity

SignalcoreAgentGPT
Maintenance
Steady (50d since push)
As of Sep 18, 2026 · github_public_v1
Archived (497d since push)
As of Sep 8, 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 8, 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

Tagline

core
AI agent microservice
AgentGPT
Assembler for autonomous AI Agents

Stars

core
3.1k
AgentGPT
36k

Forks

core
409
AgentGPT
9.3k

Open issues

core
11
AgentGPT
219

Language

core
Python
AgentGPT
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.
AgentGPT
AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects

Persona

core
-
AgentGPT
-

Runtime

core
-
AgentGPT
-

License

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

Last pushed

core
Jul 29, 2026
AgentGPT
Apr 29, 2025

Categories

core
AI Agents
AgentGPT
AI Agents, Developer Tools

Trust and health

Maintenance

core
Steady (60%)
AgentGPT
Archived (8%)

Days since push

core
50d
AgentGPT
497d

Archived on GitHub

core
No
AgentGPT
Yes

Open issues (now)

core
11
AgentGPT
219

Stars delta

core
+5 (30d)
AgentGPT
-7 (30d)

Open issues delta

core
+3 (30d)
AgentGPT
0 (30d)

Full report

AgentGPT
Trust report

Choose core if…

  • core is primarily Python; AgentGPT is TypeScript.
  • 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, ai, assistant, chatbot.
  • 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.

Choose AgentGPT if…

  • AgentGPT is primarily TypeScript; core is Python.
  • Tags unique to AgentGPT: autonomous, backend-development, cli-setup, database-integration.
  • Also covers Developer Tools.
  • AgentGPT ships Docker support for self-hosted deployment.
  • When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI

When NOT to use AgentGPT

  • Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box
  • Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment

Explore

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 · AgentGPT 36k (synced Sep 20, 2026).

Common questions

What is the difference between core and AgentGPT?
core: AI agent microservice. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories.
When should I choose core over AgentGPT?
Choose core over AgentGPT when core is primarily Python; AgentGPT is TypeScript; 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, ai, assistant, chatbot; 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 AgentGPT over core?
Choose AgentGPT over core when AgentGPT is primarily TypeScript; core is Python; Tags unique to AgentGPT: autonomous, backend-development, cli-setup, database-integration; Also covers Developer Tools; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI.
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 AgentGPT?
Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
Is core or AgentGPT more popular on GitHub?
AgentGPT has more GitHub stars (36,297 vs 3,086). Stars measure visibility, not whether either tool fits your constraints.
Are core and AgentGPT open source?
Yes - both are open-source projects on GitHub (core: GPL-3.0, AgentGPT: GPL-3.0).
Where can I find alternatives to core or AgentGPT?
GraphCanon lists graph-backed alternatives at core alternatives and AgentGPT alternatives (core markdown twin, AgentGPT 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 AgentGPT?
core: Steady. AgentGPT: Archived. 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 AgentGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: core trust report; AgentGPT trust report.

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