Rust · MIT
ratel-ai/ratel
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
★ 550
Stars
32 forks · 17 open issues
+1.5/day
Growth · lifetime avg
Average since the repo was created — it is young enough that this still describes now. Not a recent-week figure.
30.7
Momentum / 100
see the breakdown below
12mo ago
Created
last push 2d ago
Star history
Only 1 snapshot so far — we started watching
this repository on 2026-11-05.
The chart appears once there are two days to compare.
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 7.7 | +1.5/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 15.0 | last push 2d ago; decays to zero at 180 days |
| Scale | 15 | 7.9 | 550 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 30.7 | sum of the above |
Detail
| Topics | accuracyagentsclaude-skillscontextharnessllmllm-routingmcpmcp-servermemoryoptimizationragskillstoken-optimizationtool-callingtool-selection |
| Matched on | RAG (rag) |
| Short window | no snapshot 5–10 days old yet |
| Long window | no snapshot 14–45 days old yet |
| Lifetime average | 1.54 stars/day over 358 days |
| First seen here | 2026-11-05 |
| Last read | 2d ago |