open-bias
One line of code to enforce, trace, and improve rule adherence for AI agents.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
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.
Good fit when
- You need to enforce detailed rule sets on your AI agents quickly with minimal integration effort.
- Your development involves multiple AI tasks where consistency in safety and policy adherence is paramount.
Avoid when
- 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.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (112d since push)
- As of Sep 12, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 12, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install open-biasSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Open Source Reliability Harness is aimed at enabling developers to implement rules that dictate how their AI agents function in a secure and compliant manner.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 12, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 12, 2026
Categories
Tags
README
License Apache 2.0 If this project helps your team, a star on GitHub helps us reach more developers.
For agents
This page has a .md twin and JSON over the API.