--- title: "honcho vs openhuman" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/plastic-labs-honcho-vs-tinyhumansai-openhuman" tools: ["plastic-labs-honcho", "tinyhumansai-openhuman"] --- # honcho vs openhuman *GraphCanon updated Sep 20, 2026* ## Verdict Pick honcho if memory Library for Stateful Agents; pick openhuman if openHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. [honcho](https://docs.honcho.dev) reports 6.7k GitHub stars, 824 forks, and 163 open issues, last pushed Aug 18, 2026. [openhuman](https://tinyhumans.ai/openhuman) has 40k stars, 3.9k forks, and 199 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [honcho's repository](https://github.com/plastic-labs/honcho) and [openhuman's repository](https://github.com/tinyhumansai/openhuman). | | [honcho](/tools/plastic-labs-honcho.md) | [openhuman](/tools/tinyhumansai-openhuman.md) | | --- | --- | --- | | Tagline | Memory library for building stateful agents | Open source agent harness with local-first memory and agent orchestration | | Stars | 6,703 | 39,866 | | Forks | 824 | 3,931 | | Open issues | 163 | 199 | | Language | Python | Rust | | Adopt for | Memory Library for Stateful Agents | OpenHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | GPL-3.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [honcho](/tools/plastic-labs-honcho.md) | [openhuman](/tools/tinyhumansai-openhuman.md) | | --- | --- | --- | | Open issues (now) | 163 | 199 | | Stars delta | +659 (30d) | Unknown | | Open issues delta | -3 (30d) | Unknown | | Full report | [trust report](/tools/plastic-labs-honcho/trust.md) | [trust report](/tools/tinyhumansai-openhuman/trust.md) | ## Decision facts: honcho - **Adopt for:** Memory Library for Stateful Agents ## Decision facts: openhuman - **Pricing:** freemium - Open source under GPL-3.0, free to use, modify, and distribute. - **Requirements:** Min 2 GB RAM; Installation can be done via Homebrew, Debian/Ubuntu .deb, AUR, or install scripts. - **Adopt for:** OpenHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. - **License detail:** GPL-3.0 ## Choose when ### Choose honcho if… - honcho is primarily Python; openhuman is Rust. - License: honcho is AGPL-3.0, openhuman is GPL-3.0. - Tags unique to honcho: agent-memory, embeddings, langchain, long-term-memory. - Also covers Data & Retrieval. - Requires managing long-term and contextual memory in AI agents for statefulness. ### Choose openhuman if… - openhuman is primarily Rust; honcho is Python. - License: openhuman is GPL-3.0, honcho is AGPL-3.0. - Pricing: Open source under GPL-3.0, free to use, modify, and distribute.. - Requirements: Min 2 GB RAM; Installation can be done via Homebrew, Debian/Ubuntu .deb, AUR, or install scripts.. - Tags unique to openhuman: agent-orchestration, ai-assistant, desktop, llm. - Also covers Developer Tools. - When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory. ## When NOT to use honcho - Do not need complex SDK support or a customizable framework approach. - Not interested in using stateful capabilities leveraging multiple APIs such as Gemini, Anthropic, and OpenAI. ## When NOT to use openhuman - If you prefer a language other than Rust for your AI development. - When your project does not require local-first memory or privacy-focused features. - If you are looking for a cloud-centric AI agent solution rather than a local-first approach. ## Common questions ### What is the difference between honcho and openhuman? honcho: Memory library for building stateful agents. openhuman: Open source agent harness with local-first memory and agent orchestration. See the comparison table for live GitHub stats and shared categories. ### When should I choose honcho over openhuman? Choose honcho over openhuman when honcho is primarily Python; openhuman is Rust; License: honcho is AGPL-3.0, openhuman is GPL-3.0; Tags unique to honcho: agent-memory, embeddings, langchain, long-term-memory; Also covers Data & Retrieval; Requires managing long-term and contextual memory in AI agents for statefulness. ### When should I choose openhuman over honcho? Choose openhuman over honcho when openhuman is primarily Rust; honcho is Python; License: openhuman is GPL-3.0, honcho is AGPL-3.0; Pricing: Open source under GPL-3.0, free to use, modify, and distribute.; Requirements: Min 2 GB RAM; Installation can be done via Homebrew, Debian/Ubuntu .deb, AUR, or install scripts.; Tags unique to openhuman: agent-orchestration, ai-assistant, desktop, llm; Also covers Developer Tools; When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory. ### When should I avoid honcho? Do not need complex SDK support or a customizable framework approach. Not interested in using stateful capabilities leveraging multiple APIs such as Gemini, Anthropic, and OpenAI. ### When should I avoid openhuman? If you prefer a language other than Rust for your AI development. When your project does not require local-first memory or privacy-focused features. If you are looking for a cloud-centric AI agent solution rather than a local-first approach. ### Is honcho or openhuman more popular on GitHub? openhuman has more GitHub stars (39,866 vs 6,703). Stars measure visibility, not whether either tool fits your constraints. ### Are honcho and openhuman open source? Yes - both are open-source projects on GitHub (honcho: AGPL-3.0, openhuman: GPL-3.0). ### Where can I find alternatives to honcho or openhuman? GraphCanon lists graph-backed alternatives at [honcho alternatives](/tools/plastic-labs-honcho/alternatives) and [openhuman alternatives](/tools/tinyhumansai-openhuman/alternatives) ([honcho markdown twin](/tools/plastic-labs-honcho/alternatives.md), [openhuman markdown twin](/tools/tinyhumansai-openhuman/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/plastic-labs-honcho-vs-tinyhumansai-openhuman.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, honcho or openhuman? honcho: Very active. openhuman: 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 honcho and openhuman? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [honcho trust report](/tools/plastic-labs-honcho/trust); [openhuman trust report](/tools/tinyhumansai-openhuman/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=plastic-labs-honcho`](/api/graphcanon/graph?tool=plastic-labs-honcho) - 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/_