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 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.
MCP server and local proxy that compresses LLM prompts, tool output, and replies to cut token cost, with a quality gate that reverts any step that does not save. Exposes llmtrim_compress, llmtrim_compress_text, and llmtrim_stats.
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.