Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

Every file not opened. Every folder not explored. Tokens saved. ProjectAtlas guides coding agents with purpose metadata and an intelligent code graph, reducing token costs by over 90%.

MCP server for token-efficient large document analysis via the use of REPL state

MCP server for Git with local Ollama — zero tokens for git operations