--- title: "core vs openagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cheshire-cat-ai-core-vs-haohao-end-openagent" tools: ["cheshire-cat-ai-core", "haohao-end-openagent"] --- # core vs openagent *GraphCanon updated Aug 21, 2026* ## Verdict Pick core if core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol; pick openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. [core](https://cheshirecat.ai) reports 3.1k GitHub stars, 409 forks, and 8 open issues, last pushed Jul 29, 2026. [openagent](https://openllm.cloud) has 792 stars, 80 forks, and 46 open issues, last pushed Jul 17, 2026. Figures are from public GitHub metadata via [core's repository](https://github.com/cheshire-cat-ai/core) and [openagent's repository](https://github.com/Haohao-end/openagent). | | [core](/tools/cheshire-cat-ai-core.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Tagline | AI agent microservice | Harness architecture for rapidly building vertical AI agents | | Stars | 3,081 | 792 | | Forks | 409 | 80 | | Open issues | 8 | 46 | | Language | Python | Python | | Adopt for | core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol. | OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 licenses the code base of the core repository. | MIT | | Categories | AI Agents, Vector Databases | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [core](/tools/cheshire-cat-ai-core.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 16d | 34d | | Open issues (now) | 8 | 46 | | Stars delta | +7 (30d) | +21 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/cheshire-cat-ai-core/trust.md) | [trust report](/tools/haohao-end-openagent/trust.md) | ## Decision facts: core - **Hosting:** self hosted - core can be self-hosted. - **Requirements:** Requires Python support due to being Python-based. - **Adopt for:** core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol. - **License detail:** GPL-3.0 licenses the code base of the core repository. ## Decision facts: openagent - **Adopt for:** OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. ## Choose when ### Choose core if… - License: core is GPL-3.0, openagent is MIT. - core can be self-hosted. - Requirements: Requires Python support due to being Python-based.. - Tags unique to core: ag-ui-protocol, assistant, chatbot, conversational. - For projects that require an open-source solution under GPL-3.0, because core's licensing aligns with this requirement ### Choose openagent if… - License: openagent is MIT, core is GPL-3.0. - Tags unique to openagent: celery, deepagents, deepresearch, faiss-vector-database. - Also covers Data & Retrieval. - Need integration of OpenAI and Dify functionalities. ## When NOT to use core - If your project needs proprietary license terms, since core restricts use by GPL-3.0 which might not fit all commercial scenarios - In cases where you require a non-Python environment, as the tool may require significant custom code to adapt to another language ## When NOT to use openagent - Projects requiring only basic AI functionality without deep reasoning loops or RAG. - Teams preferring non-Python environments for AI agent development. ## Common questions ### What is the difference between core and openagent? core: AI agent microservice. openagent: Harness architecture for rapidly building vertical AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose core over openagent? Choose core over openagent when License: core is GPL-3.0, openagent is MIT; core can be self-hosted; Requirements: Requires Python support due to being Python-based.; Tags unique to core: ag-ui-protocol, assistant, chatbot, conversational; For projects that require an open-source solution under GPL-3.0, because core's licensing aligns with this requirement. ### When should I choose openagent over core? Choose openagent over core when License: openagent is MIT, core is GPL-3.0; Tags unique to openagent: celery, deepagents, deepresearch, faiss-vector-database; Also covers Data & Retrieval; Need integration of OpenAI and Dify functionalities. ### When should I avoid core? If your project needs proprietary license terms, since core restricts use by GPL-3.0 which might not fit all commercial scenarios In cases where you require a non-Python environment, as the tool may require significant custom code to adapt to another language ### When should I avoid openagent? Projects requiring only basic AI functionality without deep reasoning loops or RAG. Teams preferring non-Python environments for AI agent development. ### Is core or openagent more popular on GitHub? core has more GitHub stars (3,081 vs 792). Stars measure visibility, not whether either tool fits your constraints. ### Are core and openagent open source? Yes - both are open-source projects on GitHub (core: GPL-3.0, openagent: MIT). ### Where can I find alternatives to core or openagent? GraphCanon lists graph-backed alternatives at [core alternatives](/tools/cheshire-cat-ai-core/alternatives) and [openagent alternatives](/tools/haohao-end-openagent/alternatives) ([core markdown twin](/tools/cheshire-cat-ai-core/alternatives.md), [openagent markdown twin](/tools/haohao-end-openagent/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-haohao-end-openagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, core or openagent? core: Active. openagent: 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 core and openagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [core trust report](/tools/cheshire-cat-ai-core/trust); [openagent trust report](/tools/haohao-end-openagent/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/_