OpenClawBrain v12.2.1

Learned retrieval graph for AI agents. Nodes are document chunks, edges are mutable weighted pointers. The graph learns from outcomes using policy-gradient updates (REINFORCE) and self-regulates via homeostatic decay, synaptic scaling, and tier hysteresis.

Install

pip install openclawbrain              # core (pure Python, zero deps)
pip install "openclawbrain[openai]"    # with OpenAI embeddings

Quick Start

# Build a brain from workspace files
openclawbrain init --workspace ./my-workspace --output ./brain --embedder openai

# Query
openclawbrain query "how do I deploy" --state ./brain/state.json --json