--- title: "hivemind vs agentflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activeloopai-hivemind-vs-simonmesmith-agentflow" tools: ["activeloopai-hivemind", "simonmesmith-agentflow"] --- # hivemind vs agentflow *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 agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. [hivemind](https://deeplake.ai/hivemind) reports 1.6k GitHub stars, 102 forks, and 46 open issues, last pushed Aug 21, 2026. [agentflow](https://github.com/simonmesmith/agentflow) has 320 stars, 27 forks, and 13 open issues, last pushed Aug 11, 2023. Figures are from public GitHub metadata via [hivemind's repository](https://github.com/activeloopai/hivemind) and [agentflow's repository](https://github.com/simonmesmith/agentflow). | | [hivemind](/tools/activeloopai-hivemind.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Tagline | Hivemind turns your traces into reusable skills across agents | Complex LLM Workflows from Simple JSON | | Stars | 1,573 | 320 | | Forks | 102 | 27 | | Open issues | 46 | 13 | | Language | TypeScript | Python | | Adopt for | Hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings. | Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. | | 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._ | | [hivemind](/tools/activeloopai-hivemind.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 1100d | | Open issues (now) | 46 | 13 | | Stars delta | +74 (30d) | -1 (30d) | | Open issues delta | +7 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/activeloopai-hivemind/trust.md) | [trust report](/tools/simonmesmith-agentflow/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: agentflow - **Adopt for:** Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. ## Choose when ### Choose hivemind if… - hivemind is primarily TypeScript; agentflow is Python. - License: hivemind is Apache-2.0, agentflow 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 agentflow if… - agentflow is primarily Python; hivemind is TypeScript. - License: agentflow is MIT, hivemind is Apache-2.0. - Tags unique to agentflow: json, large language models, python, workflow-management. - Also covers LLM Frameworks. - When you need to rapidly prototype LLM workflows with minimal coding via JSON configs ## 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 agentflow - Avoid if requiring advanced customization that goes beyond basic JSON configurations - Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution ## Common questions ### What is the difference between hivemind and agentflow? hivemind: Hivemind turns your traces into reusable skills across agents. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories. ### When should I choose hivemind over agentflow? Choose hivemind over agentflow when hivemind is primarily TypeScript; agentflow is Python; License: hivemind is Apache-2.0, agentflow 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 agentflow over hivemind? Choose agentflow over hivemind when agentflow is primarily Python; hivemind is TypeScript; License: agentflow is MIT, hivemind is Apache-2.0; Tags unique to agentflow: json, large language models, python, workflow-management; Also covers LLM Frameworks; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs. ### 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 agentflow? Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution ### Is hivemind or agentflow more popular on GitHub? hivemind has more GitHub stars (1,573 vs 320). Stars measure visibility, not whether either tool fits your constraints. ### Are hivemind and agentflow open source? Yes - both are open-source projects on GitHub (hivemind: Apache-2.0, agentflow: MIT). ### Where can I find alternatives to hivemind or agentflow? GraphCanon lists graph-backed alternatives at [hivemind alternatives](/tools/activeloopai-hivemind/alternatives) and [agentflow alternatives](/tools/simonmesmith-agentflow/alternatives) ([hivemind markdown twin](/tools/activeloopai-hivemind/alternatives.md), [agentflow markdown twin](/tools/simonmesmith-agentflow/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-simonmesmith-agentflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hivemind or agentflow? hivemind: Very active. agentflow: Dormant. 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 agentflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hivemind trust report](/tools/activeloopai-hivemind/trust); [agentflow trust report](/tools/simonmesmith-agentflow/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/_