Semantic search with citations
Vector retrieval and token budgets shape concise context. Every result includes its source, making answers verifiable.
SEARCH / QUERY / ASKTurn scattered meetings, customer context, and decisions into searchable, citable knowledge that evolves with your company. Agents search first and learn while they work.
No separate knowledge chore. Agents retrieve evidence, preserve conclusions, and leave every change traceable while completing actual work.
Retrieve real company knowledge with a source for every claim. No evidence means no guess.
raw preserves immutable source material; wiki holds knowledge and judgments agents can maintain.
Natural-language edits, atomic multi-page changes, and a complete Git history for every write.
# The agent identifies company context first $ cbrain me → company: acme · role: editor $ cbrain query "Q3 renewal risks" → 6 relevant results · every result cited
Lightweight, open, and secure by default. Keep ownership of your knowledge while giving every agent reliable context.
Vector retrieval and token budgets shape concise context. Every result includes its source, making answers verifiable.
SEARCH / QUERY / ASKMarkdown files and Git history are the truth. Databases, vectors, and indexes are derived caches you can rebuild at any time.
OKF / MARKDOWN / GITAgents preserve meetings, customer changes, and decisions as they work. Incremental indexing and digests keep knowledge fresh.
INGEST / DIGEST / REBUILDUse the CLI, HTTP, or MCP with Cursor, Claude, Codex, or internal agents. Authorize once; permission changes apply instantly.
CLI / HTTP / MCPcbrain protects company knowledge with structural boundaries. Every read must pass tenant, clearance, and department checks. Access is denied by default.
Start with one trusted fact and help every agent understand your company.
Open the cbrain workspace