#coding-agent

Git for agent memory. Memstate gives AI agents versioned, structured memory with automatic conflict detection, full version history, and up to 80% fewer tokens than vector-based alternatives. Extracts facts from text and markdown into structured keypaths, with 84.4% accuracy on the open-source benchmark vs 20.4% for Mem0.

An experimental MCP server to use aider as a coding agent.

Reusable MCP server setup to augment AI coding agents with specific repo guidelines

DockaShell is an MCP server that gives every AI Agent its own isolated Docker container — complete with file access, shell execution, and full action traceability.

MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.

Research intelligence for AI engineers. At any technical decision your team hits - agent architecture, memory, tool use, RAG, embeddings, evals, fine-tuning, distillation, MoE/inference, forecasting, vision, security, or weighing concrete tradeoffs (Mamba vs attention, LoRA vs SFT, hybrid vs dense retrieval) - Paper Lantern surfaces what 2M+ papers say in seconds, not weeks.

# 🐢🚀 Node.js Sandbox MCP ServerThis repository hosts a Node.js server that implements the Model Context Protocol (MCP) for running JavaScript in isolated Docker containers. It allows for on-the-fly npm dependency installation, making it easy to execute code safely and efficiently.

Give AI agents a visual architecture canvas — build, read, and modify system design diagrams from Claude Code, Cursor, or any MCP client.

Know what every shell command does before you approve it.