ratel
MCP serverGitHubActiveRust
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.
Description provenance: Original source
Measured: Oct 20, 2026 · 68 observations
Domains & Uses
- Domains
- Agents, skills and MCP
- Uses
- Agent skills, Token efficiency, Retrieval-augmented generation (RAG)
Check at the source
Compatibility and prerequisites must be checked in the official documentation.
https://github.com/ratel-ai/ratelClassifications
- Nature
- Tool
Measurement history
Comparable readings are grouped by signal and unit.
Stars
484stars · Oct 20, 2026
+8 (+1.7 %)since Oct 14, 2026
Exact values · 6 readings
| Measured | stars | Change |
|---|---|---|
| 484 | +4 | |
| 480 | +2 | |
| 478 | 0 | |
| 478 | +2 | |
| 476 | 0 | |
| 476 | · |