--- title: "continue vs openhuman" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/continuedev-continue-vs-tinyhumansai-openhuman" tools: ["continuedev-continue", "tinyhumansai-openhuman"] --- # continue vs openhuman *GraphCanon updated Sep 20, 2026* ## Verdict Pick continue if continue is an open-source coding agent developed in TypeScript, designed to assist developers with coding tasks; pick openhuman if openHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. [continue](https://continue.dev) reports 36k GitHub stars, 5.4k forks, and 966 open issues, last pushed Sep 16, 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 [continue's repository](https://github.com/continuedev/continue) and [openhuman's repository](https://github.com/tinyhumansai/openhuman). | | [continue](/tools/continuedev-continue.md) | [openhuman](/tools/tinyhumansai-openhuman.md) | | --- | --- | --- | | Tagline | open-source coding agent | Open source agent harness with local-first memory and agent orchestration | | Stars | 35,945 | 39,866 | | Forks | 5,398 | 3,931 | | Open issues | 966 | 199 | | Language | TypeScript | Rust | | Adopt for | continue is an open-source coding agent developed in TypeScript, designed to assist developers with coding tasks. | OpenHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [continue](/tools/continuedev-continue.md) | [openhuman](/tools/tinyhumansai-openhuman.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 966 | 199 | | Stars delta | +415 (30d) | Unknown | | Open issues delta | +15 (30d) | Unknown | | Full report | [trust report](/tools/continuedev-continue/trust.md) | [trust report](/tools/tinyhumansai-openhuman/trust.md) | ## Decision facts: continue - **Adopt for:** continue is an open-source coding agent developed in TypeScript, designed to assist developers with coding tasks. ## 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 continue if… - continue is primarily TypeScript; openhuman is Rust. - License: continue is Apache-2.0, openhuman is GPL-3.0. - Tags unique to continue: agent, ai, cli, coding-assistant. - Use continue when you are working on projects that require TypeScript, as it is developed in this language and may offer better integration or performance. ### Choose openhuman if… - openhuman is primarily Rust; continue is TypeScript. - License: openhuman is GPL-3.0, continue is Apache-2.0. - 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-agents, ai-assistant, desktop. - openhuman ships Docker support for self-hosted deployment. - When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory. ## When NOT to use continue - Avoid continue if your project is not in TypeScript or if you do not require a coding agent that is specifically optimized for TypeScript. - Do not use continue if you need a proprietary tool with specific support or features not available in open-source alternatives. ## 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 continue and openhuman? continue: open-source coding agent. 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 continue over openhuman? Choose continue over openhuman when continue is primarily TypeScript; openhuman is Rust; License: continue is Apache-2.0, openhuman is GPL-3.0; Tags unique to continue: agent, ai, cli, coding-assistant; Use continue when you are working on projects that require TypeScript, as it is developed in this language and may offer better integration or performance. ### When should I choose openhuman over continue? Choose openhuman over continue when openhuman is primarily Rust; continue is TypeScript; License: openhuman is GPL-3.0, continue is Apache-2.0; 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-agents, ai-assistant, desktop; openhuman ships Docker support for self-hosted deployment; When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory. ### When should I avoid continue? Avoid continue if your project is not in TypeScript or if you do not require a coding agent that is specifically optimized for TypeScript. Do not use continue if you need a proprietary tool with specific support or features not available in open-source alternatives. ### 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 continue or openhuman more popular on GitHub? openhuman has more GitHub stars (39,866 vs 35,945). Stars measure visibility, not whether either tool fits your constraints. ### Are continue and openhuman open source? Yes - both are open-source projects on GitHub (continue: Apache-2.0, openhuman: GPL-3.0). ### Where can I find alternatives to continue or openhuman? GraphCanon lists graph-backed alternatives at [continue alternatives](/tools/continuedev-continue/alternatives) and [openhuman alternatives](/tools/tinyhumansai-openhuman/alternatives) ([continue markdown twin](/tools/continuedev-continue/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/continuedev-continue-vs-tinyhumansai-openhuman.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, continue or openhuman? continue: 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 continue and openhuman? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [continue trust report](/tools/continuedev-continue/trust); [openhuman trust report](/tools/tinyhumansai-openhuman/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=continuedev-continue`](/api/graphcanon/graph?tool=continuedev-continue) - 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/_