Princeton's AI agent that solves real GitHub issues. Turns LLMs into software engineering agents with a custom agent-computer interface for real codebases.
Best For
Teams & solo builders
Key Pros & Cons
Strengths
- 10.9% fork-to-star ratio — strong developer contribution signal
Watch Out For
- Low community score (2/100) — smaller support network
Market Momentum
21
-11
24h
-14
7d
-23
30d
14-day heat score history
Creator Buzz3
Search Interest65
Community Activity2
Growth Momentum15
Score ForecastConfidence: low
6
7-day est.
6
14-day est.
Trend slope: 0.00 pts/day
What This Score Means
SWE-agent is in a declining trend within AI Coding Agents — consider whether the team is still actively investing before building on it.
Abandonment & Maintenance Risk
High Risk
Trend phaseDeclining
30-day score change-23 pts
Listed on HookFlow3mo old
Discontinued flag✓ No
Commit cadenceVery Active
Last commitToday
Risk Factors
- Rapid score decline over 30 days
- Declining trend — worth monitoring
- GitHub repo actively maintained — last commit Today
GitHub Repository Health
A
Very Active
Stars
19,995
Forks
2,182
Open Issues
57
Watchers
111
Last commitToday
7-day star growth+52 stars
Fork / Star ratio10.9%
Snapshot dateAug 4, 2026
Data Lock-In Index
100
/ 100 (lower = more open)
○ Webhooks Out○ Bulk Export○ Open Formats
vs. Category Peers (AI Coding Agents)
Tool
A.R.C.
Heat
7d Δ
Lock-In
SWE-agent (this)
—
21
-14
100
Claude Code▲ Peak
Terminal-first coding
B
57
+2
100
Sweep▲ Peak
—
55
+5
100
Plandex▲ Emerging
—
35
+14
100
Qodo▲ Declining
—
29
-3
100
MetaGPT▲ Declining
—
28
-4
100
Lock-In: 0 = fully open, 100 = maximum data lock-in. A.R.C. = Architecture · Reliability · Context score (A–F).
Snapshot Disclaimer: All scores, rankings, and metrics in this report reflect data as of August 4, 2026. Heat scores, community activity, and market momentum are recalculated daily — figures shown here represent a point-in-time snapshot and may differ from current values on HookFlow.ai.
HookFlow.ai Infrastructure Report — August 4, 2026hookflow.ai