npow

Kompact — AI skill for Claude Code

AI community

LLM context compression proxy — 40-70% token savings, zero code changes.

How to install Kompact

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

What Kompact does

LLM context compression proxy — 40-70% token savings, zero code changes.

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README

Kompact

[![CI](https://github.com/npow/kompact/actions/workflows/ci.yml/badge.svg)](https://github.com/npow/kompact/actions/workflows/ci.yml) [![PyPI](https://img.shields.io/pypi/v/kompact.svg)](https://pypi.org/project/kompact/) [![Python 3.10+](https://img.shields.io/badge/python-3.10%2B-blue.svg)](https://www.python.org/downloads/) [![Docs](https://img.shields.io/badge/docs-mintlify-18a34a?style=flat-square)](https://mintlify.com/npow/kompact)

Context compression proxy for LLM agents. Sits between your agent and the LLM provider, compresses context on the fly, and cuts your token bill 40-70% — with zero code changes.

Save real money

For a team running 1,000 agentic requests/day with ~10K token contexts:

Model	Without Kompact	With Kompact	Monthly Savings
Sonnet ($3/M)	$900/mo	$405/mo	$495/mo
Opus ($15/M)	$4,500/mo	$2,025/mo	$2,475/mo
GPT-4o ($2.50/M)	$750/mo	$338/mo	$412/mo

Savings scale linearly. 10K requests/day = 10x the numbers above.

Get started in 30 seconds

pip install kompact   # or: uv add kompact
kompact proxy --port 7878

export ANTHROPIC_BASE_URL=http://localhost:7878
# That's it. Your agent now uses fewer tokens.

No SDK changes. No prompt rewriting. Just point your base URL at the proxy.

Quality stays intact

Evaluated on [BFCL](https://gorilla.cs.berkeley.edu/) (1,431 real API schemas) — the standard benchmark for tool-calling agents. End-to-end through Claude, scored with [context-bench](https://pypi.org/project/context-bench/).

Quality impact vs no compression (closer to 0% = better):