yamcp
A Model Context Workspace Manager. Oraganize your MCP servers in local workspaces (coding, design, research, ...), scan, monitor, and integrate each workspace with AI apps via a unified CLI.
A Model Context Workspace Manager. Oraganize your MCP servers in local workspaces (coding, design, research, ...), scan, monitor, and integrate each workspace with AI apps via a unified CLI.
📇 🏠 🍎 🪟 🐧 - Agent Skill Ninja for MCP: Search, install, and manage AI agent skills (SKILL.md files) from GitHub repositories. Features workspace analysis for personalized recommendations and supports 140+ pre-indexed skills.
??️ - Manage test cases in TestCollab directly from your AI coding assistant. List, create, and update test cases with filtering, sorting, and pagination support.
📇 ☁️ - AI agent activity logger & monitor MCP server with 20 tools. Post logs, create articles, manage social interactions, and monitor AI agent activities on the Alog platform.
🐍 🏠 🍎 🪟 🐧 - Persistent memory for AI coding agents with semantic search, auto-capture, cross-session learning, and intelligent forgetting. 28 MCP tools, local-first.
??️ - Beelzebub is a honeypot framework that lets you build honeypot tools using MCP. Its purpose is to detect prompt injection or malicious agent behavior. The underlying idea is to provide the agent with tools it would never use in its normal work.
🐍 🏠 🍎 🪟 🐧 - Persistent fractal graph memory for AI coding agents via MCP. Semantic vector search, hot/cold/archive context tiers, decision tracking, and Docker-based deployment with Qdrant.
Open-source LLM and agent evaluation framework with 50+ metrics, LLM-as-Judge augmentation, and guardrail scanners (jailbreak, PII, prompt-injection). Useful for scoring RAG outputs, agent trajectories, and function-calling behavior in data-science workflows.
🎖️ 📇 🏠 - Official Next.js MCP server for coding agents. Provides runtime diagnostics, route inspection, dev server logs, docs search, and upgrade guides. Requires Next.js 16+ dev server for full runtime features.
📇 ☁️ 🏠 - Unified agent work logging and observability across ChatGPT, Claude, Cursor, Codex, and OpenClaw with config-first schemas and pluggable sinks.
🐍 🏠 🍎 🐧 - Strategic task prioritization and agent orchestration for multi-project operators. 22 MCP tools with 5-factor scoring engine, advisory document analysis, agent dispatch with autonomy levels, HMAC webhooks, time-aware planning, and CI/CD integration. Standalone CLI + MCP server.
🐍 🏠 - A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.
llama-agents is an async-first framework for building, iterating, and productionizing multi-agent systems, including multi-agent communication, distributed tool execution, human-in-the-loop, and more !GitHub Repo stars
🎖️ ☁️ - Trade stocks and crypto on common brokerages (Robinhood, ETrade, Coinbase, Kraken) via Trade Agent's MCP server.
Universal index and routing layer for AI agents. Aggregates agent metadata from multiple registries (NANDA, MCP, Virtuals, OpenRouter, A2A, X402 Bazaar) across web2 and web3, normalizes profiles, and provides protocol translation between agent ecosystems.
📇 🏠 ☁️ 🍎 🪟 🐧 - Persistent shared memory for AI coding agents. Stores facts as entity/key/value triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.
 📇 🏠 🍎 🪟 🐧 - Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation.
📇 🏠 - Provide coding agents direct access to Figma data to help them write Flutter code for building apps including assets exports, widgets maintenance and full screens implementations.
Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability. !GitHub Repo stars
 📇 🏠 - Search @imqueue docs and scaffold typed services & clients for AI coding agents, access CLI and manage your service fleet.
Agent skill plus local service that strips AI provenance marks from text and files you own
??️ - a KTOR server/ MCP server written in Kotlin applying multi-agents schools in a flexible research system to be used with coding or for research any general case.
?? 🏠 - A JetBrains IDE plugin that exposes an MCP server, enabling AI coding assistants to leverage the IDE's indexing and refactoring capabilities (rename, safe delete, find references, call hierarchy, type hierarchy, diagnostics and more).
📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.
htop for AI coding agents. Monitor Claude Code and Codex CLI sessions with real-time CPU, memory, token usage, context window tracking, and cost estimates. Zero dependencies, pure Node.js. !GitHub Repo stars
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. !GitHub Repo stars
 📇 ☁️ - Breaking-change diffs for npm packages so coding agents stop writing code against outdated API knowledge.
 🦀 🏠 - Local-first MCP gateway for coding agents that redacts detected secrets from file reads and command output before they reach model context.
 🐍 🏠 🍎 🪟 🐧 - Persistent memory and codebase context for AI coding agents. FAISS vector store, AST reverse index with O(1) symbol
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models !GitHub Repo stars
 📇 🏠 - An open-source observability layer for AI coding. Silently tracks dev tokens/time and auto-codifies AI deviations into persistent project rules.
Automated optimization engine for improving agent workflows using feedback-driven iterative refinements.
Production-Ready LLM Agent SDK for Every Developer
 🐍 🏠 - AI-native structured memory for coding agents — typed lore/doc entries with status and links, read and written by agents via MCP.
 📇 ☁️ - Runtime guardrails and incident read access for coding agents. Query AgentGuard traces, alerts, usage, costs, and budget health.
8-environment LLM agent benchmark.