ratel — tool profile and history

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.

Active

Canonical source ↗

Language
TypeScript
License
MIT
Created
Last activity
Topics
  • accuracy
  • agents
  • claude-skills
  • context
  • harness
  • llm
  • llm-routing
  • mcp
  • mcp-server
  • memory
  • optimization
  • rag
  • skills
  • token-optimization
  • tool-calling
  • tool-selection

Current measurement

430GitHub stars+4 (+0.94 %)
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
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430GitHub stars
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Classifications

Domains
Type
MCP servers
Use cases

These entries declare the same topics. No similarity is inferred: only the shared topics are stated.