# Context

## Articles

- [How I Turn Any GitHub Repo Into Perfect AI Context (Game Changer)](https://medium.com/@alexjamesdunlop/how-i-turn-any-github-repo-into-perfect-ai-context-game-changer-71919d497531)
- [Multi-Repo Workspace Setup for Claude Code — Context Across Service Boundaries](https://www.iamraghuveer.com/posts/multi-repo-workspace-claude-code/)
- [Repo Registry MCP Server — Service Discovery for Multi-Repo Agent Workflows](https://www.iamraghuveer.com/posts/repo-registry-mcp-server/)
- [A Single Dev Workspace for AI Agents. Part 1: The Workspace Harness](https://www.superblocks.com/blog/a-single-dev-workspace-for-ai-agents)
- [Claude Code Decoded: Multi-Repo Context Loading](https://blackdoglabs.io/blog/claude-code-decoded-multi-repo-context)
- [Repo-of-Repos: Tony's Multi-Repo Workspace for AI Coding Agents](https://raffertyuy.com/raztype/repo-of-repos-pattern/)

## Tools & Lbraries

- [rtk-ai/rtk](https://github.com/rtk-ai/rtk) ⭐ - CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
- [JuliusBrussee/caveman](https://github.com/JuliusBrussee/caveman) ⭐ - why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
- [colbymchenry/codegraph](https://github.com/colbymchenry/codegraph) ⭐ - Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, and OpenCode — fewer tokens, fewer tool calls, 100% local
- [DeusData/codebase-memory-mcp](https://github.com/DeusData/codebase-memory-mcp) ⭐ - High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
- [tobi/qmd](https://github.com/tobi/qmd) - mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
- [safishamsi/graphify](https://github.com/safishamsi/graphify) ⭐ - AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph.
- [1st1/lat.md](https://github.com/1st1/lat.md) - Agent Lattice: a knowledge graph for your codebase, written in markdown
- [Lum1104/Understand-Anything](https://github.com/Lum1104/Understand-Anything) - Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
- [topoteretes/cognee](https://github.com/topoteretes/cognee) - Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
- [supermemoryai/supermemory](https://github.com/supermemoryai/supermemory) - Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
- [yoanbernabeu/grepai](https://github.com/yoanbernabeu/grepai) - Semantic Search & Call Graphs for AI Agents (100% Local)
- [abhigyanpatwari/GitNexus](https://github.com/abhigyanpatwari/GitNexus) - GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a git repository (Github, Gitlab, Azure, Local) or ZIP file, and get an interactive knowledge graph with a built in Graph RAG Agent. Perfect for code exploration
- [tirth8205/code-review-graph](https://github.com/tirth8205/code-review-graph) - Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
- [headroomlabs-ai/headroom](https://github.com/headroomlabs-ai/headroom) - Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
- [Lum1104/Understand-Anything](https://github.com/Lum1104/Understand-Anything) - Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
- [mksglu/context-mode](https://github.com/mksglu/context-mode) - Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
- [getzep/graphiti](https://github.com/getzep/graphiti) ⭐ - Build Real-Time Knowledge Graphs for AI Agents
- [GoogleCloudPlatform/open-knowledge-format](https://github.com/GoogleCloudPlatform/open-knowledge-format) ⭐ - OKF is a universal, vendor-neutral format for representing knowledge as plain markdown files with YAML frontmatter