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DataGrout
The Unified AI Operating Layer for Agentic Intelligence
115 followers
The Unified AI Operating Layer for Agentic Intelligence
115 followers
DataGrout gives your AI agents memory, reliability, and cost control. Most agent frameworks fall apart at scale, context windows explode, workflows fail silently, and token costs spiral before you notice. DataGrout fixes the plumbing: connect to any system, remember across sessions, and run continuously without burning your budget. Built for teams shipping production agents, not just demos.
This is the 6th launch from DataGrout . View more
DataGrout Flow
Launching today
AI agents running multi-step workflows have no reliable way to pause for human approval, verify a plan before it runs, or handle missing data mid-run. DataGrout Flow solves all three. Four MCP tools. Works with Claude, Cursor, or any AI agent.
Free Options
Launch Team
Hey Product Hunt,
We built DataGrout Flow because production AI agent workflows kept failing in predictable ways that had no clean solution.
Three problems we kept running into:
First, agents build multi-step plans and execute them without any pre-execution check. flow.into with validate_only: true runs a full check before anything executes — cycle detection, Semio type safety across every tool boundary, policy compliance — and produces a Cognitive Trust Certificate. A cryptographic proof the plan is safe. You review the CTC and then decide whether to proceed.
Second, workflows hitting sensitive operations just keep going. flow.request-approval pauses the workflow and waits for a human to explicitly approve before the next step runs. Rejected or timed out means a clean halt. No destructive operations running without someone saying yes.
Third, workflows fail silently when a required field was not provided at the start. flow.request-feedback lets the workflow pause, tell the user exactly what it is missing and why, suggest values, and resume when the user responds.
flow.route handles conditional branching with a predicate engine that supports full field comparisons, truthy path checks, and catch-alls. It also works as an inline conditional step type inside flow.into plans.
Four tools total. All available at DataGrout. Works with Claude, Cursor or any AI agent.
Would love your honest feedback.