Novyx is a memory API for AI agents. Store observations, recall them with semantic search, and roll back when things go
wrong.
What it does:
- Store + Recall — Semantic search over agent memories using sentence embeddings. Recency-weighted scoring, auto-linking
related memories via knowledge graph.
- Rollback — Point-in-time rollback with dry-run preview. Undo bad writes without redeploying.
- Replay — Time-travel debugging. Reconstruct what your agent knew at any timestamp. Diff memory states between two points.
Track individual memories from birth to death.
- Cortex — Autonomous memory maintenance. Consolidates near-duplicate memories, reinforces frequently recalled ones, decays
forgotten ones. Runs in the background.
- Audit trail — Compliance-grade logging of every memory operation. Tamper-evident hash chains.
Technical details:
- Postgres + pgvector for storage and search. Redis for auth/rate limiting. CPU-only embeddings (all-MiniLM-L6-v2).
- Multi-tenant with application-level isolation. ~82 REST endpoints.
- Python SDK and JS/TS SDK. LangChain, CrewAI, and MCP integrations.
- Free tier: 5K memories, 5K API calls/mo. Pro ($39/mo): unlimited memories + Replay + Cortex. Enterprise ($199/mo):
counterfactual recall, drift analysis, insights.
We're not competing with LangSmith or Langfuse — those are trace debuggers (what the LLM said). We're the layer underneath
(what the agent knew).
Live at https://novyxlabs.com. Docs at https://novyxlabs.com/docs.
Happy to answer questions about the architecture.No comments yet.