GraphCanon updated 1d · GitHub synced 1d
Decision brief
Critical Facts for SWE-agent
Good fit when
- You need to automatically fix GitHub issues using a selected language model and want the flexibility of defining which model powers the agent's responses.
- Situations where time is critical, and you require quick fixes or initial code suggestions for various coding problems without manual involvement.
Avoid when
- If you prefer using a single fixed model for all issues without the option to select different language models based on the task's requirements.
- For projects that require deep domain-specific knowledge beyond general coding tasks or where human judgment plays an essential role.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 1d
- Provenance
- Not a fork · Organization account
- As of 1d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install SWE-agentHow it fits your stack(5)
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Alternative
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Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
SWE-agent is an AI agent designed to automatically address and fix GitHub issues by leveraging selected large language models. It can also be repurposed for cybersecurity tasks and competitive coding challenges.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 19, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 19, 2026
Categories
Tags
README
🪪 License
MIT. Check LICENSE.
For agents
This page has a .md twin and JSON over the API.