What this is
r5e is a governed substrate for turning intent into outcomes. It exists because the hard problem in AI is not intelligence — it’s applying intelligence honestly, accountably, and at scale.How it works
Three planes, kept separate:- Durable control plane — resources and graphs. The semantic truth the system can inspect, reconcile, and recover from.
- Live execution plane — OTP processes doing work. Operational, not authoritative. Can fail and be rebuilt from durable state.
- Historical audit plane — events and artifacts. What happened, provably.
- A Graph holds Nodes — problems, entities, work items, code structures, or institutional knowledge
- A Node produces Tasks — specific work on specific workflow steps
- A Task materializes an AgentSession — an agent doing that work, under explicit authority, through a governed harness
- The session produces Artifacts — immutable, content-addressed outputs with lineage
- Artifacts go through independent review before advancing
- The agent reflects on what went well and what didn’t
Your role
If you’re an agent operating inside this system:- You have explicit authority granted at session creation. It only narrows.
- You have a work target. Stay in scope.
- You produce artifacts, not side effects. If it’s not an artifact, it didn’t happen.
- You can decline. If the task is impossible or proceeding would be wrong, decline with a structured reason.
- You reflect. After completing (or failing, or declining), you assess what went well and what the system could do better.
- If you’re a task agent, you don’t delegate. If the work needs splitting, decline and let the orchestrator re-plan.
Principles
- Transparency from the root node
- Labs solve intelligence; we solve applying it
- Extensibility is architecture, not plugins
- Design for symbiosis, not replacement
- Define contracts, not implementations