MCP server and CLI that lets AI agents reverse engineer native binaries, JavaScript/Electron apps, .NET assemblies, and websites.
Local-first search engine and MCP server in one Rust binary, indexing code, docs, logs and PDFs for BM25, vector and hybrid search.
MCP server that keeps raw tool output out of AI coding agent context windows and persists session state across compaction.
Compresses tool outputs, logs, files, RAG chunks and conversation history before they reach an LLM, as a library, proxy, or MCP server.
Community Blender addon and MCP server that lets an LLM client like Claude control Blender scenes, objects, and modeling via prompts.
Captures agent tool usage during sessions, compresses it into summaries, and injects relevant context back into future sessions.
Go-based AI code review CLI that runs deterministic pipelines alongside an LLM agent to leave line-level review comments on Git diffs.
Open-source AI platform that indexes team knowledge from 50+ apps and serves it as context for chat, search, and agents.
Local MCP server that builds a persistent knowledge graph of code, docs, and infrastructure for AI coding agents and developers.
Object-storage native graph database with git-style branching, a typed ontology, and hybrid graph, vector, and full-text retrieval over Lance files.
Python library and SDK that builds a hierarchical tree index of documents so an LLM can reason through it for retrieval, without vector databases or chunking.
MCP server and Unity Editor package that lets AI assistants control scenes, scripts, assets, tests, and builds in Unity.
MCP server that lets AI agents and LLMs automate native iOS and Android apps on simulators, emulators, and real devices.
A curated reference of Claude Code best practices covering subagents, commands, skills, hooks, memory, and workflows.
An open-source computer-use service exposed as an MCP server, letting AI agents control macOS, Linux, and Windows desktops.
MCP server that exposes Ghidra's reverse engineering capabilities as 200+ tools for AI assistants, via a GUI plugin and headless server.
Collection of GitHub Copilot instructions, prompts, agents, and skills for agentic SDLC workflows, context management, and engineering standards.
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.