omar-y-abdi

Furl Ctx — AI skill for Claude Code

AI community

Context compression for AI agents — cut token usage costs with retrievable CCR compression.

How to install Furl Ctx

This entry records only its repository, not the path inside it, so there is no exact command to give. Open omar-y-abdi/furl-ctx and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Furl Ctx does

Context compression for AI agents — cut token usage costs with retrievable CCR compression. Rust core + Python API, Claude Code & Codex plugin, MCP server. PyPI: furl-ctx

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README

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 The context compression layer for AI agents

furl-ctx

**Reversible context compression for AI agents.** furl-ctx shrinks large tool outputs, logs, web fetches, and RAG chunks before they fill your agent's context window, and keeps every original byte retrievable on demand. Think prompt compression and context pruning for token optimization, without losing data. CCR, short for Compress-Cache-Retrieve, is the core: compression where every dropped byte stays retrievable.

0–54% token savings on real high-entropy content · reaching 95% on repetitive logs/fixtures (honest read)

Claude Code + Codex plugins · MCP server usable by any MCP host · Reversible compression

Install · Proof · Library · Community

**What works today:** Claude Code gets the MCP tools, skill, and automatic compression hooks. Codex gets the same MCP tools and retrieval-aware skill; use `furl_compress` on demand because Codex plugins do not yet expose Furl's output-replacement hook. Automatic hands-off compression works on Claude Code 2.1.163 and newer: the PostToolUse hook mirrors each replacement to the tool's output shape, so the harness honors it, verified live by both external audits on