What do you want to do?
3 use cases
-
Self-host a tamper-evident audit log for your agents
Run ZizkaDB in Docker and log your agent's events through the Python or TypeScript SDK into a hash-chained record you can verify and query.
View prompt
Add ZizkaDB logging to my agent in <file>: log user_message, llm_response and tool_call events with parent_id links using zizkadb-sdk against http://localhost:8000. Then show me how to verify the chain for this agent.
-
Trace why your agent made a bad tool call
Use ZizkaDB's causal chain, session replay and time travel to walk back from a wrong tool call to the message or context that caused it.
View prompt
Using ZizkaDB, explain why <agent> called <tool> in session <id>: print the db.why chain for that event, rebuild what the agent knew with db.at at that time, and point to the step where the context was wrong.
-
Catch drift in agent behaviour and ask about it over MCP
Use ZizkaDB's baseline to flag when an agent starts behaving differently from its history, and query the record from Cursor or Claude through its MCP server.
View prompt
Connect the ZizkaDB MCP server (uvx zizkadb-mcp, ZIZKADB_HOST=http://localhost:8000). Compare <agent>'s behaviour before and after <date of model change> using its baseline, and list the sessions that drifted most with one sentence each on what changed.
Quick start with ZizkaDB
- Check you have what it needs: Docker; Python or TypeScript SDK for integration.
- Open ZIZKA-AI-SL/ZizkaDB on GitHub and read the README and license.
- Run locally:
docker run -d --name zizkadb -e ENV=development -p 127.0.0.1:8000:8000 -p 127.0.0.1:3001:3001 -v zizkadb_data:/data ghcr.io/zizka-ai-sl/zizkadb - Open the dashboard at localhost:3001; development mode signs you in with one click
- Install the SDK:
pip install zizkadb-sdk - Log events from your agent with db.log, passing parent_id so events link into a chain
These steps come from our top use case, Self-host a tamper-evident audit log for your agents, which also has a copy-paste agent prompt.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for ZIZKA-AI-SL/ZizkaDB
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About this repo
- Who it is forTeams running AI agents in production who need to explain and audit what an agent did and why.
- Why it is hot143 stars, talked about in 2 AI sources we track
- LanguagePython
- Sourcegithub.com/ZIZKA-AI-SL/ZizkaDB · Back to Hot repos
Requirements
- Docker
- Python or TypeScript SDK for integration
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Questions about ZizkaDB
What is ZizkaDB?
ZizkaDB is an audit trail database for AI agents with tamper-evident, checksum-backed decision logs, session replay, time-travel debugging, drift detection, an MCP server and Python and TypeScript SDKs, aimed at EU AI Act Article 12 record-keeping. It is an open-source project on GitHub: https://github.com/ZIZKA-AI-SL/ZizkaDB.
How do I use ZizkaDB?
Run locally: docker run -d --name zizkadb -e ENV=development -p 127.0.0.1:8000:8000 -p 127.0.0.1:3001:3001 -v zizkadb_data:/data ghcr.io/zizka-ai-sl/zizkadb; then open the dashboard at localhost:3001; development mode signs you in with one click; install the SDK: pip install zizkadb-sdk. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is ZizkaDB for?
Teams running AI agents in production who need to explain and audit what an agent did and why.
What can I do with ZizkaDB?
3 use cases so far, for example: Self-host a tamper-evident audit log for your agents; Trace why your agent made a bad tool call; Catch drift in agent behaviour and ask about it over MCP. Each has steps and a copy-paste agent prompt.
What do I need to run ZizkaDB?
Docker; Python or TypeScript SDK for integration.
What are alternatives to ZizkaDB?
Other hot AI repos in Security and science: Security Audit Skill, PentAGI, Agentbaseline, RiftX, Hacker.
Is ZizkaDB safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.