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How to use ZizkaDB: what you can do with it

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.

How do I use it? 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. Full steps below.

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3 use cases

Quick start with ZizkaDB

  1. Check you have what it needs: Docker; Python or TypeScript SDK for integration.
  2. Open ZIZKA-AI-SL/ZizkaDB on GitHub and read the README and license.
  3. 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
  4. Open the dashboard at localhost:3001; development mode signs you in with one click
  5. Install the SDK: pip install zizkadb-sdk
  6. 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.

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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.