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.

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants

Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.

Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; benchmarked at frontier-agent quality with ~25x lower model cost and 45% fewer tokens with semantic search.

Agent Package Manager

Bring Agent Skills to Any AI Agent and Coding Agent — via CLI or MCP. Manage once, serve anywhere.

The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.

Stop re-explaining your data to your AI every session. The individual-analyst context layer, delivered over MCP (Claude Code / Cursor / Codex).

A Git-native knowledge layer for your team — and a set of tool suite that keeps it alive.

Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.

Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.

Automatically create new skills based on past agent traces

Finds the claims in your CLAUDE.md / AGENTS.md / skills that your code no longer supports. Zero-config, no API key.

LeanKG: Stop Burning Tokens. Start Coding Lean.

Lightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology

AI Badger - Local-first tool that extracts focused repo context for any AI chat (Claude, ChatGPT, Grok, etc.) without wasting tokens on irrelevant files.

Mine your Claude Code and Codex logs into a local you.md agent profile.

A lightweight, zero-dependency CLI tool to manage and activate capabilities for AI coding assistants (such as Claude Code, Cursor, Trae, etc.).

Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules, TODOs, and handoff.

Your agent pays twice for output it has already seen. OMNI returns a handle instead: 97.2% off a file read twice. Nothing deleted, nothing invented.

Stop "vibe coding" and start Stream Coding, the 10-20x velocity methodology for AI-accelerated development. Includes the official SKILL.md for Claude/Cursor/Windsurf and the complete Manifesto.

CTX: a tool that solves the context management gap when working with LLMs like ChatGPT or Claude. It helps developers organize and automatically collect information from their codebase into structured documents that can be easily shared with AI assistants.

Project memory for coding agents and humans: the reasoning behind a codebase as Markdown in the repo, versioned by Git, so nothing rejected is proposed twice. No database, no daemon, no account.