--- title: "core vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cheshire-cat-ai-core-vs-reworkd-agentgpt" tools: ["cheshire-cat-ai-core", "reworkd-agentgpt"] --- # core vs AgentGPT *GraphCanon updated Sep 20, 2026* ## 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. [core](https://cheshirecat.ai) reports 3.1k GitHub stars, 409 forks, and 11 open issues, last pushed Jul 29, 2026. [AgentGPT](https://agentgpt.reworkd.ai) has 36k stars, 9.3k forks, and 219 open issues, last pushed Apr 29, 2025. Figures are from public GitHub metadata via [core's repository](https://github.com/cheshire-cat-ai/core) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [core](/tools/cheshire-cat-ai-core.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | AI agent microservice | Assembler for autonomous AI Agents | | Stars | 3,086 | 36,297 | | Forks | 409 | 9,262 | | Open issues | 11 | 219 | | Language | Python | TypeScript | | Adopt for | 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 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 | - | - | | Runtime | - | - | | License | GPL-3.0, which is a copyleft license requiring that any derivative works be released under the same license. | GPL-3.0 | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [core](/tools/cheshire-cat-ai-core.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Archived (8%) | | Days since push | 50d | 497d | | Archived on GitHub | No | Yes | | Open issues (now) | 11 | 219 | | Stars delta | +5 (30d) | -7 (30d) | | Open issues delta | +3 (30d) | 0 (30d) | | Full report | [trust report](/tools/cheshire-cat-ai-core/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: core - **Pricing:** freemium - 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. - **Adopt for:** 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. - **License detail:** GPL-3.0, which is a copyleft license requiring that any derivative works be released under the same license. ## Decision facts: AgentGPT - **Adopt for:** 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 ## Choose when ### 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. ### 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 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 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 ## 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](/tools/cheshire-cat-ai-core/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([core markdown twin](/tools/cheshire-cat-ai-core/alternatives.md), [AgentGPT markdown twin](/tools/reworkd-agentgpt/alternatives.md)), 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](/compare/cheshire-cat-ai-core-vs-reworkd-agentgpt.md) 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](/tools/cheshire-cat-ai-core/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cheshire-cat-ai-core`](/api/graphcanon/graph?tool=cheshire-cat-ai-core) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_