Flow Learning System runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 24 Oct 2026.
Build motion-graphics lessons with sentence-synced TTS for any subject: one sentence, one scene.
We read the source, 1 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
r = subprocess.run([blender, "-b", "--factory-startup", "-noaudio", "-P", str(wp), "--", json.dumps(args)],
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Knowledge graph MCP for student learning with spaced repetition and mastery tracking
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
Local-first memory system for AI agents with hybrid search and graph reasoning
MCP server for Weaviate: collections, objects, GraphQL search. Works with any instance.
One sentence to a finished animation: your AI writes motion graphics as code and checks real frames.
Self-learning memory for AI coding agents with pattern detection and confidence scoring.
Builds Figma from your design system: real components and tokens, enforced, learning every build.
Advanced filesystem operations with strict security boundaries for AI agents
Answers built from our own checks of this server.