Unified Workspace Intelligence & Episodic Memory.
Give your autonomous agent fleet contextual awareness across your entire codebase, internal wikis, ticketing platforms, and proprietary workflows with sub-second vector search.
Live Vector Memory Retrieval Inspector
Inspect how Brain AI retrieves and injects exact context into agent reasoning loops in real-time.
db/migrations/2026_rbac_schema.sqlCREATE TABLE user_roles (user_id UUID, role_id INT, granted_at TIMESTAMPTZ); CREATE POLICY rbac_isolation ON tenants FOR SELECT USING (tenant_id = current_setting('app.current_tenant'));Ingest & Index Every Critical Workspace Format
Brain AI builds a living knowledge representation across your team's scattered tools.
GitHub / GitLab Repositories
142,800 chunks
Real-time webhook sync
Notion & Confluence Docs
84,320 chunks
Hourly delta indexing
Slack & Customer Tickets
512,000 chunks
Sub-second event stream
PDFs, Schemas & API Specs
36,400 chunks
Automatic OCR parsing
Architected for Zero Hallucination & Strict Privacy
Deep contextual memory allows your agents to act with the knowledge of your most experienced senior engineers.
Hierarchical Vector Embeddings
Transforms multi-format enterprise unstructured data into dense semantic vector representations with sub-50ms hybrid keyword & vector retrieval.
Dynamic Knowledge Graphs
Maps inter-agent dependencies, document entities, and organizational hierarchies into unified graph nodes to eliminate hallucination.
Zero-Retention Enterprise Privacy
Embeddings and raw files are encrypted at rest with AES-256 and client-managed keys. Your company data is never used to train global public models.
Self-Updating Semantic Memory
As agents resolve customer tickets and merge pull requests, the episodic memory layer automatically updates without requiring manual retraining.
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