Config-driven CLI tool that compresses command output before it reaches an LLM context
Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.
Local-first permanent, persistent memory for all agents and humans
A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.
A local-first memory layer for AI (Cursor, Zed, Claude). Persistent architectural context via semantic search.
Rust CLI implementing the Recursive Language Model (RLM) pattern for Claude Code. Process documents 100x larger than context windows through intelligent chunking, SQLite persistence, and recursive sub-LLM orchestration.
MCP-native code retrieval for AI agents — 84-88% fewer read tokens, BM25F + semantic search, AST chunks, session dedup
ZAP is a terminal-first, local AI coding agent built in Rust. It uses AST-powered codebase indexing and lazy-loaded skills to completely eliminate prompt bloat and minimize context token costs.
⚡ Cut Claude Code context 60-90%. Live stdout today, session-history compression coming v0.2.
AI context observability & optimization for Claude Code, Copilot CLI, Codex, Gemini — TUI dashboard, preset optimization, cost tracking, CI gates
Token Oriented Object Notation (TOON) for Linked Data
A powerful Model Context Protocol (MCP) server and Omni-AST engine. It empowers AI agents to seamlessly parse complex codebases, execute secure cross-project operations, and dynamically fetch token-optimized rules.
Losslessly compress the tool output your AI agent sends the model, prove every value survived, and report the exact tokens removed. Run it as a proxy, a library, or middleware.
Shift noisy web pages into clean, context-ready text for LLMs — Rust library & MCP server
Btop-style real-time context monitor for Claude Code sessions — live context map, cache economics, subagents, and a compiled PDF report.
Local code intelligence for AI agents. Index any repo into a call graph, query it over MCP. 100x fewer tokens. 29 languages, 32 tools, single Rust binary, zero dependencies, no cloud.
The High-Performance, Hardware-Adaptive Knowledge Engine for MCP Agents: Hybrid Graph-RAG & Atomic Concurrency Control.
Ultra-fast codebase cartography for LLMs
Render agent context as images. Same text, ~60–75% fewer tokens.
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