--- title: "atomic-agents vs Odyssey" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/eigenwise-atomic-agents-vs-zju-vipa-odyssey" tools: ["eigenwise-atomic-agents", "zju-vipa-odyssey"] --- # atomic-agents vs Odyssey *GraphCanon updated Jul 11, 2026* ## Verdict Pick atomic-agents when tags unique to atomic-agents: llms, ai, artificial-intelligence, python; pick Odyssey when tags unique to Odyssey: embodied-agent, minecraft, fine-tuning, llm. [atomic-agents](https://eigenwise.github.io/atomic-agents/) reports 6.0k GitHub stars, 512 forks, and 7 open issues, last pushed Jul 10, 2026. [Odyssey](https://github.com/zju-vipa/Odyssey) has 396 stars, 27 forks, and 2 open issues, last pushed Oct 22, 2025. Figures are from public GitHub metadata via [atomic-agents's repository](https://github.com/Eigenwise/atomic-agents) and [Odyssey's repository](https://github.com/zju-vipa/Odyssey). | | [atomic-agents](/tools/eigenwise-atomic-agents.md) | [Odyssey](/tools/zju-vipa-odyssey.md) | | --- | --- | --- | | Tagline | Building AI agents, atomically | Odyssey: Empowering Minecraft Agents with Open-World Skills | | Stars | 6,034 | 396 | | Forks | 512 | 27 | | Open issues | 7 | 2 | | Language | Python | Python | | Adopt for | atomic-agents is a Python library that facilitates building and managing AI agents that can integrate with multiple large language model providers, offering flexibility and ease of extension through additional provider支持 | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | LLM Frameworks, AI Agents, Developer Tools | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [atomic-agents](/tools/eigenwise-atomic-agents.md) | [Odyssey](/tools/zju-vipa-odyssey.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 262d | | Open issues (now) | 7 | 2 | | Owner type | User | Organization | | Security scan | 8 low (8 low) | No lockfile | | Full report | [trust report](/tools/eigenwise-atomic-agents/trust.md) | [trust report](/tools/zju-vipa-odyssey/trust.md) | ## Decision facts: atomic-agents - **Adopt for:** atomic-agents is a Python library that facilitates building and managing AI agents that can integrate with multiple large language model providers, offering flexibility and ease of extension through additional provider支持 ## Choose when ### Choose atomic-agents if… - Tags unique to atomic-agents: llms, ai, artificial-intelligence, python. - Also covers Developer Tools. - 需要构建和管理AI代理，并希望轻松集成多个大型语言模型提供商，如Groq、Anthropic或Google Gemini时 ### Choose Odyssey if… - Tags unique to Odyssey: embodied-agent, minecraft, fine-tuning, llm. - Leaner open-issue backlog (2). ## When NOT to use atomic-agents - 如果您只需要与单一的大型语言模型交互且不打算扩展到其他供应商则不必使用此工具 ## When NOT to use Odyssey - Last GitHub push was 263 days ago (slowing maintenance, Oct 22, 2025). Validate activity before betting a new project on Odyssey. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between atomic-agents and Odyssey? atomic-agents: Building AI agents, atomically. Odyssey: Odyssey: Empowering Minecraft Agents with Open-World Skills. See the comparison table for live GitHub stats and shared categories. ### When should I choose atomic-agents over Odyssey? Choose atomic-agents over Odyssey when Tags unique to atomic-agents: llms, ai, artificial-intelligence, python; Also covers Developer Tools; 需要构建和管理AI代理，并希望轻松集成多个大型语言模型提供商，如Groq、Anthropic或Google Gemini时. ### When should I choose Odyssey over atomic-agents? Choose Odyssey over atomic-agents when Tags unique to Odyssey: embodied-agent, minecraft, fine-tuning, llm; Leaner open-issue backlog (2). ### When should I avoid atomic-agents? 如果您只需要与单一的大型语言模型交互且不打算扩展到其他供应商则不必使用此工具 ### When should I avoid Odyssey? Last GitHub push was 263 days ago (slowing maintenance, Oct 22, 2025). Validate activity before betting a new project on Odyssey. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is atomic-agents or Odyssey more popular on GitHub? atomic-agents has more GitHub stars (6,034 vs 396). Stars measure visibility, not whether either tool fits your constraints. ### Are atomic-agents and Odyssey open source? Yes - both are open-source projects on GitHub (atomic-agents: MIT, Odyssey: MIT). ### Where can I find alternatives to atomic-agents or Odyssey? GraphCanon lists graph-backed alternatives at [atomic-agents alternatives](/tools/eigenwise-atomic-agents/alternatives) and [Odyssey alternatives](/tools/zju-vipa-odyssey/alternatives) ([atomic-agents markdown twin](/tools/eigenwise-atomic-agents/alternatives.md), [Odyssey markdown twin](/tools/zju-vipa-odyssey/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/eigenwise-atomic-agents-vs-zju-vipa-odyssey.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, atomic-agents or Odyssey? atomic-agents: Very active. Odyssey: Slowing. 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 atomic-agents and Odyssey? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [atomic-agents trust report](/tools/eigenwise-atomic-agents/trust); [Odyssey trust report](/tools/zju-vipa-odyssey/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=eigenwise-atomic-agents`](/api/graphcanon/graph?tool=eigenwise-atomic-agents) - 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/_