Conflict-aware memory that detects, resolves, and audits knowledge
– so your agents stay consistent and your reviews pass fast.
LLMs are fine; your memory isn’t governed. Contradictions slip in, you don’t see them, and the sprint burns.
Same question, different answers; reviewers reopen tickets.
Engineers burn cycles rebuilding prompts not resolving the conflict.
PMs stop shipping agent features; pilots stall.
Brain cross-check what agents ingest/fetch and flag conflicts in real time (runs, RAG fetch, sync).
Slack/Teams alerts with context; click opens the Resolve panel or approve inline; creating dynamic AI-ready SSOT.
Decision updates the governed memory; agents stop disagreeing; ledger updates automatically.
Integrate fast, keep your stack, and resolve conflicts without leaving your flow.
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 in Slack/Teams or in the panel.
✔ Time-travel answers (see what the AI “knew” on any date).
✔ One-click exports for aditors (CSV/PDF).
Why Us
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).
Use Cases
Cited answers with version history & conflict notes.
Query historic decisions and playbooks in seconds - no more Slack archaeology.
Every override gets a reason chain. Perfect for audits, crucial for trust.
Logs → causal chain → root fix, not symptom patch.
See how Brain stops contradictions before they derail the sprint.
Join early access.