DashClaw
Open-source governance for AI agent fleets
Details
- Follow on
- @DashClaw_ioLinkedIn
- Target Audience
- DevelopersDevOps EngineersStartups
- Pricing
- Free
- Alternative To
LangFuse
About DashClaw
DashClaw provides an open-source control plane for managing and monitoring AI agent fleets. You can record every decision with full reasoning, enforce strict policies before your agents take action, and receive risk signals to prevent incidents. This self-hosted, MIT-licensed solution helps you gain transparency and security over autonomous agents with a setup process that takes only 10 minutes.
Product Insights
DashClaw is a free, open-source control plane designed for developers to manage and govern AI agent fleets with local control. It provides self-hosted monitoring and policy enforcement across Web, API, and CLI platforms without external licensing costs.
- MIT-licensed open-source software supporting self-hosted deployment models.
- Integrated policy enforcement to intercept agent actions and prevent incidents.
- Fast setup process designed to be completed in under 10 minutes.
- Full decision logging with reasoning and risk signals for comprehensive auditing.
Ideal for: Developers, DevOps Engineers, and Startups seeking a secure way to implement monitoring and runtime threat detection for autonomous AI agents.
DashClaw serves as an open-source alternative to LangFuse for managing AI agent operations.
Screenshots
Reviews (3)
Average 4.0 out of 5
Based on 3 reviews
Comments (3)
Nice idea
@adriencrovetto thank you!
Open-source governance for AI agent fleets is something that is going to matter a lot as agentic systems scale. Having a control plane to manage fleets is crucial and overdue.
@chaudharyarun5797 totally agree, now is the time to build the infra before it's too late
Built DashClaw because our agents started spending real money and hitting production APIs without anyone watching. Open source, self-hosted, 10 min setup. Try it and tell me what's missing.