A local brain server for AI agents. Recall, validation, audit, context packing, and post-compaction summaries as memory.
Apache-2.0Crate hierarchy, brain daemon, worker dispatch, IPC protocol, data flow.
Complete API reference for brain IPC methods and HTTP routes.
Environment variables, config file format, permission profiles, providers.
Memory structure, types, source attribution, quality scoring, vector embeddings.
Recall modes, pipeline, scoring, context packing, vector search.
Four-wall assessment, quality scoring, answer confidence, benchmarks.
Authentication, security gates, quality gates, data protection, audit trail.
How an LLM or agent should operate through HOM Local safely.
Test structure, running tests, brain/ingress e2e examples, coverage.
Development setup, contribution process, workflow, code review.
General, installation, configuration, memory, recall, providers, troubleshooting.
Licensing boundary between HOM Local and HOM Oracle.