--- title: "open-bias vs openhuman" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/open-bias-open-bias-vs-tinyhumansai-openhuman" tools: ["open-bias-open-bias", "tinyhumansai-openhuman"] --- # open-bias vs openhuman *GraphCanon updated Sep 20, 2026* ## Verdict Pick open-bias if open-bias is an open-source tool for implementing rule adherence in AI agents through one line of code. It offers comprehensive functionalities including enforcement, tracing, and improvement of compliance rules; pick openhuman if openHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. [open-bias](https://www.openbias.dev) reports 142 GitHub stars, 5 forks, and 0 open issues, last pushed May 23, 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 [open-bias's repository](https://github.com/open-bias/open-bias) and [openhuman's repository](https://github.com/tinyhumansai/openhuman). | | [open-bias](/tools/open-bias-open-bias.md) | [openhuman](/tools/tinyhumansai-openhuman.md) | | --- | --- | --- | | Tagline | One line of code to enforce, trace, and improve rule adherence for AI agents. | Open source agent harness with local-first memory and agent orchestration | | Stars | 142 | 39,866 | | Forks | 5 | 3,931 | | Open issues | 0 | 199 | | Language | Python | Rust | | Adopt for | Open-bias is an open-source tool for implementing rule adherence in AI agents through one line of code. It offers comprehensive functionalities including enforcement, tracing, and improvement of compliance rules. | 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, Evaluation & Observability | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [open-bias](/tools/open-bias-open-bias.md) | [openhuman](/tools/tinyhumansai-openhuman.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 112d | 0d | | Open issues (now) | 0 | 199 | | Stars delta | +5 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/open-bias-open-bias/trust.md) | [trust report](/tools/tinyhumansai-openhuman/trust.md) | ## Decision facts: open-bias - **Adopt for:** Open-bias is an open-source tool for implementing rule adherence in AI agents through one line of code. It offers comprehensive functionalities including enforcement, tracing, and improvement of compliance rules. ## 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 open-bias if… - open-bias is primarily Python; openhuman is Rust. - License: open-bias is Apache-2.0, openhuman is GPL-3.0. - Tags unique to open-bias: agentic-ai, ai-compliance, llm-guardrails, policy-engine. - Also covers Evaluation & Observability. - You need to enforce detailed rule sets on your AI agents quickly with minimal integration effort. ### Choose openhuman if… - openhuman is primarily Rust; open-bias is Python. - License: openhuman is GPL-3.0, open-bias 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. - Also covers Developer Tools. - 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 open-bias - You prefer tools that offer more advanced customization options beyond the one-line code integration. - Your project prioritizes less intrusive methods for AI governance, avoiding additional layers of complexity on existing architectures. ## 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 open-bias and openhuman? open-bias: One line of code to enforce, trace, and improve rule adherence for AI 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 open-bias over openhuman? Choose open-bias over openhuman when open-bias is primarily Python; openhuman is Rust; License: open-bias is Apache-2.0, openhuman is GPL-3.0; Tags unique to open-bias: agentic-ai, ai-compliance, llm-guardrails, policy-engine; Also covers Evaluation & Observability; You need to enforce detailed rule sets on your AI agents quickly with minimal integration effort. ### When should I choose openhuman over open-bias? Choose openhuman over open-bias when openhuman is primarily Rust; open-bias is Python; License: openhuman is GPL-3.0, open-bias 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; Also covers Developer Tools; 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 open-bias? You prefer tools that offer more advanced customization options beyond the one-line code integration. Your project prioritizes less intrusive methods for AI governance, avoiding additional layers of complexity on existing architectures. ### 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 open-bias or openhuman more popular on GitHub? openhuman has more GitHub stars (39,866 vs 142). Stars measure visibility, not whether either tool fits your constraints. ### Are open-bias and openhuman open source? Yes - both are open-source projects on GitHub (open-bias: Apache-2.0, openhuman: GPL-3.0). ### Where can I find alternatives to open-bias or openhuman? GraphCanon lists graph-backed alternatives at [open-bias alternatives](/tools/open-bias-open-bias/alternatives) and [openhuman alternatives](/tools/tinyhumansai-openhuman/alternatives) ([open-bias markdown twin](/tools/open-bias-open-bias/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/open-bias-open-bias-vs-tinyhumansai-openhuman.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, open-bias or openhuman? open-bias: Slowing. 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 open-bias and openhuman? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-bias trust report](/tools/open-bias-open-bias/trust); [openhuman trust report](/tools/tinyhumansai-openhuman/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=open-bias-open-bias`](/api/graphcanon/graph?tool=open-bias-open-bias) - 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/_