by Zizka-ai · MCP Server · ★ 72
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Self-hosted DB for AI agents. Prove why an agent did something , causal lineage (why()), time-travel state (at()), drift baselines. AGPL. LangChain/CrewAI/MCP.
| Stars | 72 |
| Forks | 22 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 48.9315250659798/100 |
| Open Issues | 22 |
| Last Updated | 2026-09-17 |
| Created | 2026-05-10 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
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ZizkaDB is Self-hosted DB for AI agents. Prove why an agent did something , causal lineage (why()), time-travel state (at()), drift baselines. AGPL. LangChain/CrewAI/MCP.. It is categorized as a MCP Server with 72 GitHub stars.
ZizkaDB is primarily written in Python. It covers topics such as agent-observability, ai-agents, audit-log.
You can find installation instructions and usage details in the ZizkaDB GitHub repository at github.com/Zizka-ai/ZizkaDB. The project has 72 stars and 22 forks, indicating an active community.
The top alternatives to ZizkaDB on Agent Skills Hub include StatsPAI, c4-genai-suite, captain-claw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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