Connect conversations, documents, and entity relationships into a persistent memory system so your agents can answer faster, stay consistent, and improve over time.
Built for AI teams, support ops, and agent builders.
POST `/api/ingest` with docs, chats, and metadata from your systems.
Agents call memory tools via MCP to retrieve entities, relationships, and relevant passages.
Missing answers are logged as knowledge gaps so your team can resolve them quickly.
Each capability is designed to reduce answer drift, shorten investigation loops, and increase reliability of AI interactions.
Combine semantic embeddings with graph relationships to return context-aware answers.
Keep session facts so agents can continue conversations without losing user context.
Turn unanswered prompts into actionable knowledge tasks instead of silent failures.
Ingest docs, tickets, and chat context through API endpoints.
Agents query memory in real time via MCP tool calls.
Knowledge gaps are logged and resolved to strengthen future answers.
Get started to see ingestion, retrieval, and gap resolution running in one workflow.
