--- title: "openagent vs unbody" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/haohao-end-openagent-vs-unbody-io-unbody" tools: ["haohao-end-openagent", "unbody-io-unbody"] --- # openagent vs unbody *GraphCanon updated Jul 12, 2026* ## Verdict Pick openagent if openAgent is a comprehensive platform for developers working on vertical AI agents and requires multiple setup steps including Docker, database configurations, and environment variables; pick unbody if unbody is positioned as a modular, open-source backend for AI-native applications emphasizing dynamic knowledge processing. [openagent](https://openllm.cloud) reports 828 GitHub stars, 80 forks, and 45 open issues, last pushed Jun 24, 2026. [unbody](https://unbody.io) has 527 stars, 49 forks, and 3 open issues, last pushed Apr 14, 2026. Figures are from public GitHub metadata via [openagent's repository](https://github.com/Haohao-end/openagent) and [unbody's repository](https://github.com/unbody-io/unbody). | | [openagent](/tools/haohao-end-openagent.md) | [unbody](/tools/unbody-io-unbody.md) | | --- | --- | --- | | Tagline | What if OpenAI Deep Research and Dify were one platform? OpenAgent — harness architecture for rapidly building vertical AI agents, with deep reasoning loops, visual workflows, RAG, and A2A delegation. | The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data. | | Stars | 828 | 527 | | Forks | 80 | 49 | | Open issues | 45 | 3 | | Language | Python | TypeScript | | Adopt for | OpenAgent is a comprehensive platform for developers working on vertical AI agents and requires multiple setup steps including Docker, database configurations, and environment variables. | unbody is positioned as a modular, open-source backend for AI-native applications emphasizing dynamic knowledge processing. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks, Vector Databases | AI Agents, Data & Retrieval, Developer Tools, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openagent](/tools/haohao-end-openagent.md) | [unbody](/tools/unbody-io-unbody.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 16d | 88d | | Open issues (now) | 45 | 3 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/haohao-end-openagent/trust.md) | [trust report](/tools/unbody-io-unbody/trust.md) | ## Decision facts: openagent - **Requirements:** Requires Docker; Requires multiple keys for operation such as JWT_SECRET_KEY, POSTGRES_PASSWORD, REDIS_PASSWORD, WEAVIATE_API_KEY, and at least one provider API key. - **Adopt for:** OpenAgent is a comprehensive platform for developers working on vertical AI agents and requires multiple setup steps including Docker, database configurations, and environment variables. ## Decision facts: unbody - **Adopt for:** unbody is positioned as a modular, open-source backend for AI-native applications emphasizing dynamic knowledge processing. ## Choose when ### Choose openagent if… - openagent is primarily Python; unbody is TypeScript. - License: openagent is MIT, unbody is Apache-2.0. - Requirements: Requires Docker; Requires multiple keys for operation such as JWT_SECRET_KEY, POSTGRES_PASSWORD, REDIS_PASSWORD, WEAVIATE_API_KEY, and at least one provider API key.. - Tags unique to openagent: agent, ai, celery, deepagents. - Also covers LLM Frameworks. - Use OpenAgent when you need to build AI agents that can perform deep reasoning tasks within specific industry domains leveraging visual workflows. ### Choose unbody if… - unbody is primarily TypeScript; openagent is Python. - License: unbody is Apache-2.0, openagent is MIT. - Tags unique to unbody: agentic-ai, ai-native, backend, chatbot. - Also covers Data & Retrieval, Developer Tools. - unbody ships Docker support for self-hosted deployment. - You need to build an application that requires continuous learning and updating from new data in real-time. ## When NOT to use openagent - Avoid OpenAgent if your team lacks experience with Docker and setting up environment variables as outlined in the installation guide. - Do not use if developing lightweight AI agents that do not require complex reasoning loops or RAG, as this platform may introduce unnecessary complexity to simpler applications. ## When NOT to use unbody - If your requirement is for managing static datasets where the information does not evolve over time, like historical sales data analysis. - For projects that do not need advanced integration with AI agents and require only traditional backend functionalities without sophisticated knowledge processing capabilities. ## Common questions ### What is the difference between openagent and unbody? openagent: What if OpenAI Deep Research and Dify were one platform? OpenAgent — harness architecture for rapidly building vertical AI agents, with deep reasoning loops, visual workflows, RAG, and A2A delegation.. unbody: The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.. See the comparison table for live GitHub stats and shared categories. ### When should I choose openagent over unbody? Choose openagent over unbody when openagent is primarily Python; unbody is TypeScript; License: openagent is MIT, unbody is Apache-2.0; Requirements: Requires Docker; Requires multiple keys for operation such as JWT_SECRET_KEY, POSTGRES_PASSWORD, REDIS_PASSWORD, WEAVIATE_API_KEY, and at least one provider API key.; Tags unique to openagent: agent, ai, celery, deepagents; Also covers LLM Frameworks; Use OpenAgent when you need to build AI agents that can perform deep reasoning tasks within specific industry domains leveraging visual workflows. ### When should I choose unbody over openagent? Choose unbody over openagent when unbody is primarily TypeScript; openagent is Python; License: unbody is Apache-2.0, openagent is MIT; Tags unique to unbody: agentic-ai, ai-native, backend, chatbot; Also covers Data & Retrieval, Developer Tools; unbody ships Docker support for self-hosted deployment; You need to build an application that requires continuous learning and updating from new data in real-time. ### When should I avoid openagent? Avoid OpenAgent if your team lacks experience with Docker and setting up environment variables as outlined in the installation guide. Do not use if developing lightweight AI agents that do not require complex reasoning loops or RAG, as this platform may introduce unnecessary complexity to simpler applications. ### When should I avoid unbody? If your requirement is for managing static datasets where the information does not evolve over time, like historical sales data analysis. For projects that do not need advanced integration with AI agents and require only traditional backend functionalities without sophisticated knowledge processing capabilities. ### Is openagent or unbody more popular on GitHub? openagent has more GitHub stars (828 vs 527). Stars measure visibility, not whether either tool fits your constraints. ### Are openagent and unbody open source? Yes - both are open-source projects on GitHub (openagent: MIT, unbody: Apache-2.0). ### Where can I find alternatives to openagent or unbody? GraphCanon lists graph-backed alternatives at [openagent alternatives](/tools/haohao-end-openagent/alternatives) and [unbody alternatives](/tools/unbody-io-unbody/alternatives) ([openagent markdown twin](/tools/haohao-end-openagent/alternatives.md), [unbody markdown twin](/tools/unbody-io-unbody/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/haohao-end-openagent-vs-unbody-io-unbody.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openagent or unbody? openagent: Active. unbody: 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 openagent and unbody? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openagent trust report](/tools/haohao-end-openagent/trust); [unbody trust report](/tools/unbody-io-unbody/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=haohao-end-openagent`](/api/graphcanon/graph?tool=haohao-end-openagent) - 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/_