--- title: "hive vs atomic-agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aden-hive-hive-vs-eigenwise-atomic-agents" tools: ["aden-hive-hive", "eigenwise-atomic-agents"] --- # hive vs atomic-agents *GraphCanon updated Aug 19, 2026* ## Verdict Pick hive if hive is a multi-agent framework designed specifically for production-level AI applications, emphasizing agent automation and self-improvement through a Python-based environment; pick atomic-agents if atomic agents streamline the creation of AI agents with modular integrations, making it ideal for Python-centric projects requiring flexibility and ease-of-use in agent development. [hive](https://github.com/aden-hive/hive) reports 11k GitHub stars, 5.7k forks, and 1.3k open issues, last pushed Aug 19, 2026. [atomic-agents](https://eigenwise.github.io/atomic-agents/) has 6.2k stars, 533 forks, and 4 open issues, last pushed Aug 16, 2026. Figures are from public GitHub metadata via [hive's repository](https://github.com/aden-hive/hive) and [atomic-agents's repository](https://github.com/Eigenwise/atomic-agents). | | [hive](/tools/aden-hive-hive.md) | [atomic-agents](/tools/eigenwise-atomic-agents.md) | | --- | --- | --- | | Tagline | Multi-Agent Harness for Production AI | Building AI agents, atomically | | Stars | 10,926 | 6,185 | | Forks | 5,668 | 533 | | Open issues | 1,338 | 4 | | Language | Python | Python | | Adopt for | Hive is a multi-agent framework designed specifically for production-level AI applications, emphasizing agent automation and self-improvement through a Python-based environment. | Atomic agents streamline the creation of AI agents with modular integrations, making it ideal for Python-centric projects requiring flexibility and ease-of-use in agent development. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hive](/tools/aden-hive-hive.md) | [atomic-agents](/tools/eigenwise-atomic-agents.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 1.3k | 4 | | Stars delta | +192 (30d) | +134 (30d) | | Open issues delta | +25 (30d) | -2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/aden-hive-hive/trust.md) | [trust report](/tools/eigenwise-atomic-agents/trust.md) | ## Shared compatibility - **Python**: [hive](/tools/aden-hive-hive.md) - Python runtime; [atomic-agents](/tools/eigenwise-atomic-agents.md) - Python runtime ## Decision facts: hive - **Requirements:** Hive cannot be installed using 'pip install'. Instead, users must follow specific setup instructions including the quickstart script provided in the README.; The framework requires use of a `uv` workspace layout for correct functionality. - **Adopt for:** Hive is a multi-agent framework designed specifically for production-level AI applications, emphasizing agent automation and self-improvement through a Python-based environment. ## Decision facts: atomic-agents - **Adopt for:** Atomic agents streamline the creation of AI agents with modular integrations, making it ideal for Python-centric projects requiring flexibility and ease-of-use in agent development. ## Choose when ### Choose hive if… - License: hive is Apache-2.0, atomic-agents is MIT. - Requirements: Hive cannot be installed using 'pip install'. Instead, users must follow specific setup instructions including the quickstart script provided in the README.; The framework requires use of a `uv` workspace layout for correct functionality.. - Tags unique to hive: agent-framework, automation, self-hosted. - Use Hive when you need an advanced multi-agent system designed to support autonomous operation and continuous improvement in production environments. ### Choose atomic-agents if… - License: atomic-agents is MIT, hive is Apache-2.0. - Tags unique to atomic-agents: ai, artificial-intelligence, large-language-model, llms. - Also covers LLM Frameworks. - When you need a flexible toolkit to create atomic, modular AI agents with various LLM provider support ## When NOT to use hive - Avoid using Hive if you prefer lightweight, easy-to-install tools since it does not support installation via pip and has specific setup requirements. - Do not use if the requirement is for a tool that can be immediately deployed without setting up a uv workspace layout environment as specified by the Hive documentation. ## When NOT to use atomic-agents - Avoid for projects needing exclusive use of providers not listed in the Instructor docs - Not suitable if looking for a solution that is language-agnostic, as it’s tightly integrated with Python ecosystems and CLI utilities ## Common questions ### What is the difference between hive and atomic-agents? hive: Multi-Agent Harness for Production AI. atomic-agents: Building AI agents, atomically. See the comparison table for live GitHub stats and shared categories. ### When should I choose hive over atomic-agents? Choose hive over atomic-agents when License: hive is Apache-2.0, atomic-agents is MIT; Requirements: Hive cannot be installed using 'pip install'. Instead, users must follow specific setup instructions including the quickstart script provided in the README.; The framework requires use of a `uv` workspace layout for correct functionality.; Tags unique to hive: agent-framework, automation, self-hosted; Use Hive when you need an advanced multi-agent system designed to support autonomous operation and continuous improvement in production environments. ### When should I choose atomic-agents over hive? Choose atomic-agents over hive when License: atomic-agents is MIT, hive is Apache-2.0; Tags unique to atomic-agents: ai, artificial-intelligence, large-language-model, llms; Also covers LLM Frameworks; When you need a flexible toolkit to create atomic, modular AI agents with various LLM provider support. ### When should I avoid hive? Avoid using Hive if you prefer lightweight, easy-to-install tools since it does not support installation via pip and has specific setup requirements. Do not use if the requirement is for a tool that can be immediately deployed without setting up a uv workspace layout environment as specified by the Hive documentation. ### When should I avoid atomic-agents? Avoid for projects needing exclusive use of providers not listed in the Instructor docs Not suitable if looking for a solution that is language-agnostic, as it’s tightly integrated with Python ecosystems and CLI utilities ### Is hive or atomic-agents more popular on GitHub? hive has more GitHub stars (10,926 vs 6,185). Stars measure visibility, not whether either tool fits your constraints. ### Are hive and atomic-agents open source? Yes - both are open-source projects on GitHub (hive: Apache-2.0, atomic-agents: MIT). ### Where can I find alternatives to hive or atomic-agents? GraphCanon lists graph-backed alternatives at [hive alternatives](/tools/aden-hive-hive/alternatives) and [atomic-agents alternatives](/tools/eigenwise-atomic-agents/alternatives) ([hive markdown twin](/tools/aden-hive-hive/alternatives.md), [atomic-agents markdown twin](/tools/eigenwise-atomic-agents/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/aden-hive-hive-vs-eigenwise-atomic-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hive or atomic-agents? hive: Very active. atomic-agents: Very active. 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 hive and atomic-agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hive trust report](/tools/aden-hive-hive/trust); [atomic-agents trust report](/tools/eigenwise-atomic-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aden-hive-hive`](/api/graphcanon/graph?tool=aden-hive-hive) - 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/_