3,504 tagged Building agents, measured the same way as everything else here.
Browse within: model-context-protocol 217mcp-server 179LLM 130cli 98agentic-ai 77agents 76agent 44ai-tools 39ai-governance 36agent-orchestration 34agent-memory 32Multi-Agent 30a2a 30claude-code-plugin 30
MCP server Claude CodeCodexCursor +2 ✓ vendor
Squad CLI — Command-line interface for the Squad multi-agent runtime. Runs locally from the @bradygaster/squad-cli npm package.
MCP server Claude CodeCodexCursor +2
One of 2 in server.json
Optimized MCP server for AI coding agents. Structural codebase navigation + persistent memory engine — 97.9% accuracy at −80% tokens on tsbench. Runs locally from the token-savior-recall Python package. Needs 3 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server "gomodel" as configured in ENTERPILOT/GoModel. Runs in Docker (docker.io/enterpilot/gomodel:0.1.83). Needs 2 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server "memophant" as configured in awizemann/scarf. Launched with ./.memophant/mcp/memophant-mcp --project-root . --default-project scarf.
MCP server Claude CodeCodexCursor +2
One of 2 in .mcp.json
Ruflo - Enterprise AI agent orchestration for Claude Code. Deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration. Runs locally from the claude-flow npm package.
RyanAlberts/best-of-Agent-Harnesses
MCP server Claude CodeCodexCursor +2
MCP server for best-of-Agent-Harnesses: opinionated harness recommendations (recommend/pickharness), search, and head-to-head decision guides over a hand-curated, weekly-rescored list of agent harnesses. Runs locally from the agent-harnesses-mcp Python package.
MCP server Claude CodeCodexCursor +2
Local memory for coding agents: search, MCP recall, auto-recall, secret redaction, SSH sync. Runs locally from the @vshulcz/deja-vu npm package.
MCP server Claude CodeCodexCursor +2
Full Agent Swarm API and MCP server with local SQLite storage for multi-agent orchestration. Runs locally from the @desplega.ai/agent-swarm npm package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
One of 3 in .mcp.json
MCP server "phrocs" as configured in PostHog/posthog-foss. Runs locally from the python Python package.
emiliaprotocol/emilia-protocol
MCP server Claude CodeCodexCursor +2
Exact-action approval for consequential agent actions: request, track, and verify signed receipts. Runs locally from the @emilia-protocol/mcp-server npm package. Needs 3 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server "codex-cli" as configured in tuannvm/codex-mcp-server. Runs dist/index.js with node.
MCP server Claude CodeCodexCursor +2
MCP server "yutu" as configured in eat-pray-ai/yutu. Runs in Docker (ghcr.io/eat-pray-ai/yutu:v0.10.8-dev1). Needs 3 environment variables to run.
HoangNguyen0403/agent-skills-standard
MCP server Claude CodeCodexCursor +2
MCP server that lets any AI agent (Claude, Cursor, Antigravity, Kiro, Continue, Gemini) load and audit skills from agent-skills-standard. Runs locally from the agent-skills-standard-mcp npm package.
MCP server Claude CodeCodexCursor +2
Authorize consequential AI agent actions before execution. Runs locally from the @decionis/mcp npm package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
MCP server "token-optimizer" as configured in ooples/token-optimizer-mcp. Runs C:\Users\YOUR_USERNAME\source\repos\token-optimizer-mcp\dist\index.js with node. Needs 1 environment variable to run.
iusztinpaul/designing-real-world-ai-agents-workshop
MCP server Claude CodeCodexCursor +2
One of 2 in .mcp.json
The fast, Pythonic way to build MCP servers and clients. Runs locally from the fastmcp Python package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
Metacognitive AI agent oversight: adaptive CPI interrupts for alignment, reflection and safety. Runs locally from the @pv-bhat/vibe-check-mcp npm package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
Long-term & multimodal memory for AI agents — character isolation, video pipeline, MCP server, mem0-compatible. Runs locally from the telemem Python package. Needs 3 environment variables to run.
MCP server Claude CodeCodexCursor +2
One of 2 in .mcp.json
MCP server "daloopa", hosted remotely at mcp.daloopa.com, as configured in daloopa/investing.
MCP server Claude CodeCodexCursor +2
The open-source execution engine for AI agents. 480 modules, MCP-native, triggers, queue, versioning, metering. Runs locally from the flyto-core Python package.
MCP server Claude CodeCodexCursor +2
MCP server for full Godot 4.x engine control with 165 tools for AI-driven game development. Runs locally from the @tugcantopaloglu/godot-mcp npm package.
MCP server Claude CodeCodexCursor +2
A distributed system for sharing experiences and lessons learned between AI agents. Its description says that a discovered pitfall can benefit the wider network.
MCP server Claude CodeCodexCursor +2
The Agent Skills engine, as an MCP server. Runs locally from the fastskills Python package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
MCP server "maa-mcp" as configured in MAA-AI/MaaMCP. Runs maa_mcp with python.