Back to Gap Map Product / UX / Orchestration & agents

SWE-agent

Princeton NLP
open source / Overall score: 3.0

Research coding agent from Princeton NLP that takes a GitHub issue and attempts to fix it autonomously, and also runs offensive-security and competitive-programming tasks. It was published at NeurIPS 2024, and its agent-computer-interface scaffold became a reference architecture for later agents.

Distributed by clone rather than by package; the PyPI project sees little traffic.

Openness

5 high confidence
5.0
license
MIT(OSI)
source
public
core features withheld
no

SWE-agent is MIT with its full source public, an academic project with no proprietary tier.

Adoption

3 low confidence
3.0

SWE-agent publishes no download or user figure, so GitHub stars on its single repository are the only adoption signal available; because a star reflects interest rather than use, that signal alone cannot place it above early adoption. Its adoption is concentrated in the research community rather than production use.

Capability

3 medium confidence
3.0

Originator of the SWE-bench agent scaffold, and mid-tier on the current leaderboard at 43.2% SWE-bench Verified (SWE-agent v1 on Claude Sonnet 4.5), above Aider but below Cline and OpenHands. The figure comes from an aggregator leaderboard (awesomeagents.ai) rather than a primary publication.

Verified 2026-09-29, except some scores, still awaiting re-confirmation