
Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.
deep, reliable and confidential coding-context

Analyze your Claude Code context window, detect wasted tokens, and get pasteable fix commands. Zero API calls

Claude Code context engineering & planning system for individual AI development workflows
Keep Claude Code context clean. Open-source toolkit: drift detection, re-read dedup, integrity scoring, AST-aware reads, 15 MCP tools. 62.6% measured savings, reproducible.
ast-outline lets AI coding agents pull exactly the code context they need — a repo skeleton, a file outline, or one symbol — instead of reading whole files. A stateless, tree-sitter-based CLI.
Stop your coding agent reading the wrong files. Compiler-grade TS/JS repo map — 100% precision on blast radius vs grep's 60%, measured on public repos. CLI + MCP server, fully local, no vector DB.
What Claude Code is doing between your prompt and its answer, drawn live from the logs it already writes: every model call, every tool, each subagent on its own context window and its own model, and what the session produced. Local and read-only — your session content never leaves the machine.
Working memory for Claude Code - persistent context and multi-instance coordination
Git. Ship. Done - Core
MCP server for persistent context management in AI coding assistants
Auto-save every Claude Code session to GitHub Projects. Never lose Prompt & Context again.
A memory layer for AI Agents
Recursive Language Model patterns for Claude Code — handle massive contexts (10M+ tokens) by treating them as external variables
Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode
Recursive Language Models for Claude Code - Infinite memory solution inspired by MIT CSAIL paper
The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.
The agentic workspace where people and agents work together in the loop.
One folder. Every session knows where you left off. — An open-source methodology for AI-assisted projects.
Persistent memory for Claude Code — 3-5x longer sessions, 60-80% fewer wasted tokens. Branch-aware, self-healing, token-efficient.
Stop re-explaining your data to your AI every session. The individual-analyst context layer, delivered over MCP (Claude Code / Cursor / Codex).
Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.
LeanCTX — Context Intelligence for AI systems.
Your coding agent starts every session blank. Rekal is the memory your team is missing