Compress logs for LLM analysis — Rust-powered, Python API. 40-60% token savings.

Cold storage that queries like hot storage. High-ratio JSONL compressor with block-level random access. Query cold storage in seconds — no restore, no full decompression. 5–13% ratio on JSONL logs, 25–57% smaller than gzip. 1-hour window via DuckDB in under 6s. Free for personal and open-source use.

MCP server that cuts Claude Code token usage: log compression (builds/tests/installs) + smart file reading (symbol-level source access via tree-sitter).

Extract the essence of massive logs - fold repetitive noise, show unique patterns. Feed cleaner context to LLMs and coding agents.

Convert any compressed JSONL archive to PFC cold storage — from S3, Azure, GCS or local disk. No intermediate files, no schema changes, no pipelines.

DuckDB extension to read PFC-JSONL compressed log files with block-level timestamp filtering

Python interface for PFC-JSONL

Stream Fluent Bit logs directly to PFC-JSONL compressed archives (.pfc). Free for personal and open-source use.