--- title: "hivemind vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activeloopai-hivemind-vs-wshobson-agents" tools: ["activeloopai-hivemind", "wshobson-agents"] --- # hivemind vs agents *GraphCanon updated Aug 22, 2026* ## Verdict Pick hivemind if hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot. [hivemind](https://deeplake.ai/hivemind) reports 1.6k GitHub stars, 102 forks, and 46 open issues, last pushed Aug 21, 2026. [agents](https://sethhobson.com) has 39k stars, 4.1k forks, and 5 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [hivemind's repository](https://github.com/activeloopai/hivemind) and [agents's repository](https://github.com/wshobson/agents). | | [hivemind](/tools/activeloopai-hivemind.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Hivemind turns your traces into reusable skills across agents | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 1,573 | 38,928 | | Forks | 102 | 4,145 | | Open issues | 46 | 5 | | Language | TypeScript | Python | | Adopt for | Hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings. | The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hivemind](/tools/activeloopai-hivemind.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Open issues (now) | 46 | 5 | | Stars delta | +74 (30d) | +860 (30d) | | Open issues delta | +7 (30d) | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/activeloopai-hivemind/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: hivemind - **Adopt for:** Hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings. ## Decision facts: agents - **Adopt for:** The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot ## Choose when ### Choose hivemind if… - hivemind is primarily TypeScript; agents is Python. - License: hivemind is Apache-2.0, agents is MIT. - Tags unique to hivemind: ai-agents, ai-memory, embeddings, long-term-memory. - hivemind ships an MCP server manifest. - - When you are working on an environment where multiple AI agents need to share and use the same set of skills derived from historical interactions or traces. ### Choose agents if… - agents is primarily Python; hivemind is TypeScript. - License: agents is MIT, hivemind is Apache-2.0. - Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering. - Also covers Developer Tools. - You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments ## When NOT to use hivemind - - When your application does not require skill reuse across multiple AI agents, as Hivemind’s forte is in enabling such cross-agent knowledge and behavior sharing. - - If you are looking for a standalone solution without integrating traces into reusable skills; Hivemind leans towards managing skills via traces. ## When NOT to use agents - You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support - Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ## Common questions ### What is the difference between hivemind and agents? hivemind: Hivemind turns your traces into reusable skills across agents. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose hivemind over agents? Choose hivemind over agents when hivemind is primarily TypeScript; agents is Python; License: hivemind is Apache-2.0, agents is MIT; Tags unique to hivemind: ai-agents, ai-memory, embeddings, long-term-memory; hivemind ships an MCP server manifest; - When you are working on an environment where multiple AI agents need to share and use the same set of skills derived from historical interactions or traces. ### When should I choose agents over hivemind? Choose agents over hivemind when agents is primarily Python; hivemind is TypeScript; License: agents is MIT, hivemind is Apache-2.0; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers Developer Tools; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments. ### When should I avoid hivemind? - When your application does not require skill reuse across multiple AI agents, as Hivemind’s forte is in enabling such cross-agent knowledge and behavior sharing. - If you are looking for a standalone solution without integrating traces into reusable skills; Hivemind leans towards managing skills via traces. ### When should I avoid agents? You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ### Is hivemind or agents more popular on GitHub? agents has more GitHub stars (38,928 vs 1,573). Stars measure visibility, not whether either tool fits your constraints. ### Are hivemind and agents open source? Yes - both are open-source projects on GitHub (hivemind: Apache-2.0, agents: MIT). ### Where can I find alternatives to hivemind or agents? GraphCanon lists graph-backed alternatives at [hivemind alternatives](/tools/activeloopai-hivemind/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([hivemind markdown twin](/tools/activeloopai-hivemind/alternatives.md), [agents markdown twin](/tools/wshobson-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/activeloopai-hivemind-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hivemind or agents? hivemind: Very active. 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 hivemind and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hivemind trust report](/tools/activeloopai-hivemind/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=activeloopai-hivemind`](/api/graphcanon/graph?tool=activeloopai-hivemind) - 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/_