Persistent memory & agent verification
0Brain
0Brain is the persistent memory and agent verification layer. It gives autonomous agents long-term recall, structured delegation, and proof-of-work verification loops. The agent loop is Investigate → Delegate → Remember → Challenge → Verify — a system that treats memory as load-bearing infrastructure, not a cache.
The loop
5-stage agent cycle
Investigate
Understand the problem, gather evidence, identify what is missing.
Delegate
Break work into sub-tasks, assign ownership, set verification criteria.
Remember
Store findings, decisions, and context for future recall across sessions.
Challenge
Question weak answers, surface contradictions, demand stronger evidence.
Verify
Prove the output against source data before it becomes action.
Capabilities
What it does
Persistent long-term memory across agent sessions — not just a chat cache
Structured delegation: break complex tasks into sub-tasks with traceable ownership
Challenge loop: agents question weak answers before acting on them
Verification gates: every important output is checked against evidence before it is trusted
Memory-as-infrastructure: recall is load-bearing, not a nice-to-have
Applied
Use cases
Autonomous Research
Agents that investigate a question across sessions, remembering what they found yesterday and challenging today's assumptions.
Multi-Agent Workflows
Delegate sub-tasks to specialist agents. Each one remembers its context and reports back with verifiable results.
Enterprise Knowledge
Give your AI systems permanent, structured memory that survives restarts, redeployments, and context windows.
Memory that carries the work.
Give your agents persistent recall, structured delegation, and verification — the infrastructure autonomous systems actually need.