MCP servers and skills: search, filter by where they run, and compare.
Local-first crystalline intelligence for AI agents: the knowledge that endures across sessions, taught as Markdown Domains and captured as Engrams. One Rust binary with MCP server, CLI and hybrid sear
SkillMPL-2.0★ 17No key
Replay-verified minimal JSON reproductions and deterministic TypeScript/OpenAPI drift checks. Local-first CLI and MCP server.
Node.jsMPL-2.0★ 1Few starsNo key
Local memory across Claude Code, Codex (CLI & Desktop) and more. Reads your transcripts, serves context via MCP.
Node.jsMPL-2.0★ 4Few starsNo key
Deploy and operate self-hosted OpenClaw on AWS, GCP, Azure or your own VM, from the command line or from your agent. A CLI and an MCP server over one implementation, with reviewable deploy plans, day-
Node.jsMPL-2.0★ 6No key
Shared, serverless, conflict-free memory for AI agents — a multi-machine drop-in for the MCP memory knowledge graph
Node.jsMPL-2.0★ 2Few starsNo key
Lokale Werkbank zum Prüfen, Vergleichen und Härten von Skills für KI-Coding-Agenten.
SkillMPL-2.0★ 12No key
Run one shared MCP server daemon per workstation — instead of each client (Claude Code, Codex CLI, Gemini CLI, Cursor, ...) spawning its own redundant stdio process. Windows-first hub with systray GUI
Node.jsMPL-2.0★ 2Few starsNo key
Open-core 'Spotify for AI agents' — a self-hostable registry of runnable agent artifacts: skills, bundles, loops, and personalities. docker compose up → working registry in 60s, zero signup. MCP-nativ
Hosted by authorMPL-2.0★ 2Few starsNo key
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