Model Context Protocol (MCP) server for Leadbay — AI lead discovery, qualification, and enrichment for Claude Desktop, Cursor, and Claude Code.
Local-first repo memory, code graph, and recall MCP server for coding agents
Contextro MCP server — give your AI coding agent a brain
Simple implmentation of Stream.Readable and Stream.Writable holding the data in memory.
Shared module - common types, events, utilities, core interfaces
MCP server for Context7
MCP server for remote control of AI assistants via Telegram
Graph-powered code intelligence for AI agents. Index any codebase, query via MCP or CLI.
Cerefox — user-owned shared memory for AI agents. The local TypeScript runtime: stdio MCP server in v0.4; CLI binary added in v0.5; in-process web server in v0.6; ingestion pipeline in v0.7.
Onboard Snipara Hosted MCP Context + Memory with auth, companion workflows, and optional Snipara Sandbox
Local-first agent memory MCP — cross-agent brain with drift detection, 6-layer structured memory + token-saving file diff cache
MCP server that exposes Mneme to Claude Code, Cursor, Continue, and other AI clients
Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like develope
Standalone a24z Memory MCP server
MCP Server for durable engineering memory in AI-assisted software development
An MCP Client to run servers for Electron apps, support same-process approaching
Autonomous AI agent memory system with CLAUDE.md protocol enforcement
Lobu memory plugin for OpenClaw
Local-first persistent codebase memory for MCP-enabled coding agents.
MCP Local Memory Service for coding copilot agents
MCP Server that uses DeepSeek's 1M context window for whole-codebase code search
Lint your AI agent context files, MCP server configs, and session data against your actual codebase
Enterprise-grade local-first MCP server and gateway for CodeAtlas
A micro-library of stream components for building custom JSON and JSONC processing pipelines with a minimal memory footprint — parse, filter, and transform JSON far larger than available memory with a SAX-inspired token API, on Node.js or Web Streams.