Rakenne – Markdown-defined agentic workflows for structured documents
Markdown-defined workflows with agentic state management, but chat-with-LLM for documents is crowded.

Markdown-defined agents with enforced topology—finally structured autonomy that compliance can approve.
Teams building production AI agent workflows with compliance requirements
LangGraph · CrewAI · AutoGen
Agents are markdown files, topology is a JSON file the runtime enforces hard. The agents are still fully autonomous: they make their own decisions, but the graph they operate in isn't. You declare who can call whom upfront and the runtime holds that line.
No auth yet, fine if you don't expose the port, i guess. Two Docker commands to run it.
Markdown-defined workflows with agentic state management, but chat-with-LLM for documents is crowded.
Self-initiated AI maintenance workers defined in Markdown files.
Claude agent orchestration for Laravel, but multi-agent automation exists in CrewAI, Autogen.
Self-hosted alternative to Cursor and Continue with auditable agent playbooks.
Interesting memory architecture thesis, but it's a blog post not a usable tool.
Compiles rejected runs into markdown lessons so the next planner avoids same mistakes.