Provides compression, retrieval, and statistics for local context-economy when interacting with GPT/Codex, enabling efficient token usage and exact recovery of compacted content.
Provides context compression via the tokenslim engine, enabling MCP hosts to reduce token usage while preserving key information. Offers compress, retrieve, and stats tools for managing compressed content.
Provides reversible context compression for AI agents, reducing token usage while preserving the ability to retrieve original content, and serves as an MCP server for integration with tools like GitHub Copilot and Claude Code.
Lossless context compression for LLMs, packing text into 2x-8x fewer tokens with byte-exact reconstruction. Provides MCP tools to compress files/text and expand exact slices, verified by sha256.