| What it does | An approval layer for unattended AI agents that halts risky actions for human approval before execution
| Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Self-hosted: Free (MIT licensed). Hosted Indie: $49/mo (2 seats, monthly governed-action ceiling, 30-day retention, email support). Hosted Team: $199/mo (10 seats, higher governed-action ceiling, 90-day retention, org-scoped rate limits, priority support).
| Open source: free. Team: $199/month with 14-day free trial (1 API or MCP service, 25,000 reports/month, 15 coding-agent runs/month). Business: $799/month (up to 3 services, 250,000 reports/month, 60 coding-agent runs/month). Extra coding-agent runs: $6 each.
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| Key features | - Intercepts risky agent actions before execution
- Works with Claude Code, Codex, Hermes, OpenClaw, and MCP
- Policy-based risk scoring and decision making
- Remote approvals from phone or browser
- Signed audit ledger with replayable records
- Calibrated interruptions that reduce false positives
- Enforcement liveness monitoring via synthetic probes
- Self-hosted (MIT licensed) or managed hosting options
- Approvals inbox with decision ledger and policies
- Agent defense documentation with assumptions and shields
| - Session replay for MCP servers to identify failed agent sessions
- Clustering reports by agent goals and workflows
- Priority ranking weighted by frequency, failed workflows, and affected accounts
- Claude Code generates pull requests with tests
- Review queue with diff, tests, agent reports, and evidence
- Isolated git worktree prevents unauthorized code push
- Schema validation and rate limiting for feedback
- Open Agent Feedback Protocol with TypeScript and Python SDKs
- GitHub integration for draft PR creation
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| What makes it different | - Only approval layer that protects unattended runs that walk away
- Signed ledger with replayable audit records and explicit signature verification
- Self-hosted with no infrastructure lock-in or vendor dependency
- Learns from your approvals to reduce interruptions automatically
- Honest about enforcement boundaries across different integrations
| - Only AI agent failures on successful HTTP responses get detected and ranked
- Automated pull request drafts with your approval required before shipping
- Session replay captures failures even when agents don't report them
- Pay only for coding-agent runs, not feedback submission
- Open protocol and SDKs can be self-hosted at no cost
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 7 ▼ −1 (down) since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 3 | 1 |
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| Citation Flow (Majestic) | 30 | 14 |
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| Referring domains (Majestic) | 88 | 4 |
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DashClaw
Backloop