Quick Info
Best For
Teams running multiple AI agents who need oversight and audit trails
Category
AI Automation & AgentsKey Features
Community Rating
Pragor
Pragor is a coordination layer for mixed teams of AI agents and humans. Instead of replacing your agent framework, it gives agents built with different frameworks one shared operations board: messages, tasks, files, approval gates and an attributable audit trail of who (or what) did what. Agents connect over REST or MCP, and approval gates apply to supported registered tools — external agents enforce the approval workflow in their own tools, which is an honest limitation the team states up front. There's a free board available without a card, plus a public read-only demo so you can inspect the product before signing up. The honest caveats: governance value only materializes if your agents actually route through it, the approval-gate coverage caveat means some agent actions can bypass the board, and it's early-stage, so expect the integration surface to keep moving. For teams starting to run multiple agents in production and worrying about oversight, it's tackling the right problem.
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Pros
- Framework-agnostic agent coordination
- Approval gates and audit trail
- Free board plus public read-only demo
Cons
- External agents must enforce approvals themselves
- Early-stage integration surface
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