dshakes/distil
by Various
Compression with a quality contract — cache-aware, causally-pruned LLM context compression for agentic runtimes, certified non-inferior across 7 domains. Works with any SDK.
MCP
dshakes/distil
Added 3 Sept 2026
Overview
A Python library for LLM context compression that prunes context causally and is cache-aware. It provides a quality contract, certified non-inferior across seven domains, and works with any SDK. Designed for agentic runtimes.
Best for
Best for
Developers building agentic systems needing safe context compression
Use cases
- Compressing conversation history for agent loops
- Reducing token usage in multi-step LLM calls
- Maintaining output quality while shrinking context
How to use
Install
uvx --from distil-llm distil bench # certify savings + quality across 9 domains, in secondsClients listed in this record (not verified here)
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, VS Code, ChatGPT
Notes
16 stars on GitHub. Last updated 2026-09-02.
Pros
- Cache-aware compression reduces redundant processing
- Certified non-inferior quality across seven domains
- SDK-agnostic integration
Cons
- Small community adoption with only 16 stars
- Python only, no other language bindings
- Quality certification limited to seven domains
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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