Comparison
open-swe vs open-bias
Verdict
Pick open-swe if open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware; 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.
Markdown twin · open-swe alternatives · open-bias alternatives
GraphCanon updated Sep 12, 2026
10views this month
Trust & integrity
| Signal | open-swe | open-bias |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 19, 2026 · github_public_v1 | Slowing (112d since push) As of Sep 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 12, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- open-swe
- An Open-Source Asynchronous Coding Agent
- open-bias
- One line of code to enforce, trace, and improve rule adherence for AI agents.
Stars
- open-swe
- 11k
- open-bias
- 142
Forks
- open-swe
- 1.2k
- open-bias
- 5
Open issues
- open-swe
- 28
- open-bias
- 0
Language
- open-swe
- Python
- open-bias
- Python
Adopt for
- open-swe
- open-swe is an open-source asynchronous coding agent that allows customization of components like models, sandboxes, tools, triggers, prompts, and middleware.
- open-bias
- 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.
Persona
- open-swe
- -
- open-bias
- -
Runtime
- open-swe
- -
- open-bias
- -
License
- open-swe
- MIT
- open-bias
- Apache-2.0
Last pushed
- open-swe
- Aug 19, 2026
- open-bias
- May 23, 2026
Categories
- open-swe
- AI Agents, Evaluation & Observability
- open-bias
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- open-swe
- Very active (96%)
- open-bias
- Slowing (36%)
Days since push
- open-swe
- 0d
- open-bias
- 112d
Open issues (now)
- open-swe
- 28
- open-bias
- 0
Stars delta
- open-swe
- +221 (30d)
- open-bias
- +5 (30d)
Open issues delta
- open-swe
- +4 (30d)
- open-bias
- 0 (30d)
Full report
- open-swe
- Trust report
- open-bias
- Trust report
Choose open-swe if…
- License: open-swe is MIT, open-bias is Apache-2.0.
- Tags unique to open-swe: agent, ai, anthropic, claudecode.
- open-swe ships Docker support for self-hosted deployment.
- If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively.
When NOT to use open-swe
- Not recommended if you require real-time interaction with coding agents instead of asynchronous communication.
- Avoid choosing this tool if your project does not align well with customization options provided or if integration complexity outweighs benefits.
Choose open-bias if…
- License: open-bias is Apache-2.0, open-swe is MIT.
- Tags unique to open-bias: agentic-ai, ai-compliance, llm-guardrails, policy-engine.
- You need to enforce detailed rule sets on your AI agents quickly with minimal integration effort.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langchain-ai/open-swe) · observed Aug 19, 2026
- GitHub forks (langchain-ai/open-swe) · observed Aug 19, 2026
- Last push (langchain-ai/open-swe) · observed Aug 19, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (open-bias/open-bias) · observed Sep 12, 2026
- GitHub forks (open-bias/open-bias) · observed Sep 12, 2026
- Last push (open-bias/open-bias) · observed May 23, 2026
- License file (Apache-2.0) · observed Sep 12, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: open-swe 11k · open-bias 142 (synced Aug 19, 2026).
Common questions
- What is the difference between open-swe and open-bias?
- open-swe: An Open-Source Asynchronous Coding Agent. open-bias: One line of code to enforce, trace, and improve rule adherence for AI agents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose open-swe over open-bias?
- Choose open-swe over open-bias when License: open-swe is MIT, open-bias is Apache-2.0; Tags unique to open-swe: agent, ai, anthropic, claudecode; open-swe ships Docker support for self-hosted deployment; If you are integrating with Linear/Slack/GitHub workflows specifically as it seems to support these platforms natively.
- When should I choose open-bias over open-swe?
- Choose open-bias over open-swe when License: open-bias is Apache-2.0, open-swe is MIT; Tags unique to open-bias: agentic-ai, ai-compliance, llm-guardrails, policy-engine; You need to enforce detailed rule sets on your AI agents quickly with minimal integration effort.
- When should I avoid open-swe?
- Not recommended if you require real-time interaction with coding agents instead of asynchronous communication. Avoid choosing this tool if your project does not align well with customization options provided or if integration complexity outweighs benefits.
- 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.
- Is open-swe or open-bias more popular on GitHub?
- open-swe has more GitHub stars (10,576 vs 142). Stars measure visibility, not whether either tool fits your constraints.
- Are open-swe and open-bias open source?
- Yes - both are open-source projects on GitHub (open-swe: MIT, open-bias: Apache-2.0).
- Where can I find alternatives to open-swe or open-bias?
- GraphCanon lists graph-backed alternatives at open-swe alternatives and open-bias alternatives (open-swe markdown twin, open-bias markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, open-swe or open-bias?
- open-swe: Very active. open-bias: Slowing. 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-swe and open-bias?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-swe trust report; open-bias trust report.