Implementation of ZizkaDB for Decision Logging

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Cursor Claude Desktop Windsurf Python SDK npm SDK

Reload MCP in Cursor → ask "log that we chose Postgres" → it calls log_event natively

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We run Postgres, Qdrant, embeddings, and the dashboard. Sign up, get an API key, ship in under 5 minutes.

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MCP — CURSOR / CLAUDE

Paste config into Cursor or Claude Desktop. Zero app code changes. uvx zizkadb-mcp runs on demand.

OPEN SOURCE — AGPL

Full stack: Postgres, Qdrant, Redis, API, dashboard. Clone from GitHub, one command, free forever.

Skip running Postgres, Qdrant, and Redis yourself. Sign up at db.zizka.ai, get an API key, and ship in minutes.

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See agents, replay sessions, search history, and drift — same data your code logs, no extra setup.

Also available: self-host with Docker (free forever) or connect via MCP in Cursor. See open source →

Managed plans at db.zizka.ai — or self-host free forever on your own infra.

On managed ZizkaDB you choose the embedding model in Settings — no separate vector pipeline.

LangSmith and Langfuse show you traces after you go looking. ZizkaDB watches while you sleep.

Python · TypeScript · MCP · HTTP. All four are the same product.

Log. Link with parent_id. Ask why.

Their memory is for the chat. ZizkaDB is for your code: every decision, every cause, every trigger.

Vector DBs store embeddings. ZizkaDB stores what happened, why, and what came next.

Facts only. Verify every row in their docs.

LangSmith · Mem0 · Pinecone · ZizkaDB · May 2026

CapabilityLangSmithMem0PineconeZizkaDB← usAgent event logging✓✗✗✓Causal lineage (parent → child)~✗✗✓Time travel: state at timestamp✗✗✗✓Semantic search over history✗✓✓✓Works with any framework/model~✓✓✓Behavioral baseline per agent✗✗✗✓Cross-agent fleet queries✗✗✗✓Per-event checksum on export✗✗✗✓Self-hostable for free✓✓✗✓

~ = partial support · LangSmith works mainly within the LangChain ecosystem · Technical reference

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AGPL · DOCKER · FULL FEATURE SET

API, dashboard, Postgres, Qdrant — everything in the repo. MCP and SDKs point at your host.