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Drop-in governance between your stores and agents. Event-driven, storage-agnostic, audit by default.
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Continuously ingests documents, records, and prompts to detect contradictions, duplicates, and gaps in a neurosymbolic graph that self‑heals as knowledge changes.
Conflicts and staleness are flagged before they hit production.
Notifications in email, Slack, or Teams with a Resolve Drawer for SME/policy decisions; every decision updates a bitemporal graph with provenance and policy state.
Agents use consensus facts only; answers ship with sources, reasoning paths, and confidence; decisions append to a signed ledger for audit and time‑travel.
Keep existing vectors/graphs—govern via events and webhooks.
Integrate fast, keep your stack, and resolve conflicts without leaving your flow.
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pip install theup-sdk
from theup import Brain
brain = Brain(store="neo4j")
agent = brain.wrap(my_agent)
conflicts = agent.detect_conflicts()
agent.resolve(conflicts).export_ledger("csv")
• 10-minute SDK (LangChain/LangGraph ready).
• Keep your stores (Neo4j/Pinecone/LanceDB).
• Events & webhooks (subscribe to conflicts; embed Resolve in your app).
• Approve AI decisions in Slack/Teams or in the panel.
• Time-travel answers (see what the AI “knew” on any date).
• One-click exports for auditors (CSV/PDF).
Use Cases
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Answers ship with sources, policy checks, and signed lineage. Ready for AI Act/GxP reviews.
See what the system ‘knew’ on any date. Answer, provenance path, and decision history together.
Conflicts become events.
Resolve once, remember forever, prevent repeat drift.
Proof & Benchmarks
Vector search fabricates facts. Auto-generated knowledge graphs contradict themselves. Brain flags every conflict and locks the truth—no Cypher skills required, we cut errors to 8% (synthetic benchmark on 1 k pharma SOP docs; methodology on request).
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See how Brain stops contradictions before they derail the sprint.
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