--- title: "hivemind vs agentos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activeloopai-hivemind-vs-framerslab-agentos" tools: ["activeloopai-hivemind", "framerslab-agentos"] --- # hivemind vs agentos *GraphCanon updated Aug 23, 2026* ## Verdict Pick hivemind if hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings; pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. [hivemind](https://deeplake.ai/hivemind) reports 1.6k GitHub stars, 102 forks, and 46 open issues, last pushed Aug 21, 2026. [agentos](https://docs.agentos.sh) has 617 stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [hivemind's repository](https://github.com/activeloopai/hivemind) and [agentos's repository](https://github.com/framerslab/agentos). | | [hivemind](/tools/activeloopai-hivemind.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Tagline | Hivemind turns your traces into reusable skills across agents | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | | Stars | 1,573 | 617 | | Forks | 102 | 92 | | Open issues | 46 | 10 | | Language | TypeScript | TypeScript | | Adopt for | Hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings. | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hivemind](/tools/activeloopai-hivemind.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 1d | 15d | | Open issues (now) | 46 | 10 | | Stars delta | +74 (30d) | +16 (30d) | | Open issues delta | +7 (30d) | +1 (30d) | | Full report | [trust report](/tools/activeloopai-hivemind/trust.md) | [trust report](/tools/framerslab-agentos/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: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose hivemind if… - 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 agentos if… - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents - Leaner open-issue backlog (10). ## 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 agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## Common questions ### What is the difference between hivemind and agentos? hivemind: Hivemind turns your traces into reusable skills across agents. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories. ### When should I choose hivemind over agentos? Choose hivemind over agentos when 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 agentos over hivemind? Choose agentos over hivemind when Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents; Leaner open-issue backlog (10). ### 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 agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### Is hivemind or agentos more popular on GitHub? hivemind has more GitHub stars (1,573 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are hivemind and agentos open source? Yes - both are open-source projects on GitHub (hivemind: Apache-2.0, agentos: Apache-2.0). ### Where can I find alternatives to hivemind or agentos? GraphCanon lists graph-backed alternatives at [hivemind alternatives](/tools/activeloopai-hivemind/alternatives) and [agentos alternatives](/tools/framerslab-agentos/alternatives) ([hivemind markdown twin](/tools/activeloopai-hivemind/alternatives.md), [agentos markdown twin](/tools/framerslab-agentos/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-framerslab-agentos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hivemind or agentos? hivemind: Very active. agentos: 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 agentos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hivemind trust report](/tools/activeloopai-hivemind/trust); [agentos trust report](/tools/framerslab-agentos/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/_