| What it does | The governed AI coding platform
| Security scanner for AI agent configurations and MCP tool definitions
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | Open source: Free download, bring your own inference. Coder: $20/mo (includes $25 monthly credits). Teams: $35/seat/mo (includes $45 monthly credits). Enterprise: Custom pricing. Code Review add-on: $15/user/mo.
| Free: $0, no account needed. Pro: $19/mo or $190/yr. Team: $57/mo (3-user minimum) or $570/yr, then $19/mo per additional user.
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| Key features | - Multi-model routing automatically orchestrates models by task type and cost
- Hard spending limits enforced by user, team, API key, or model
- Autonomous /ferment workflow breaks tasks into milestones and delivers PRs
- Evaluator grades output against original intent before shipping
- Kimchi Studio visual workspace for watching and guiding parallel agent tasks
- Teleport hands off sessions to persistent cloud sandbox workspaces
- AI-powered code review with inline findings and severity scoring
- VS Code extension brings harness into IDE with governance controls
- One-command migration from Claude Code and OpenCode
- Deploy serverless or in your VPC for full data sovereignty
| - Browser-based scanning for agent configurations
- CLI for local scans and CI enforcement
- 30+ security checks and secret detection
- OWASP and SOC 2 rule packs
- Gateway runtime enforcement for MCP requests
- GitHub App integration with pull request checks
- Optional AI-powered remediation guidance
- Policy-as-code via .fooguard.yml
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| What makes it different | - One enforcement layer for security, governance and cost controls across all agent requests
- 50+ open-source and open-weight models with zero lock-in
- Data sovereignty by design: prompts, code and outputs excluded from model training
- Real-time cost attribution per developer, team, model and tag
- Get started in 60 seconds with no lock-in or credit card required
| - Deterministic security rules rather than AI-based scoring
- Pre-deployment configuration analysis without agent execution
- Runtime enforcement via Gateway for supported MCP tool calls
- Audit logging and SIEM streaming for compliance
- Works across browser, CLI, GitHub, and API
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| Community votes | 1 | 0 |
| DR (Domain Rating by Ahrefs) | 40 ▲ +2 (up) since last check | 8 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 14 | 3 |
| Citation Flow (Majestic) | 33 | 21 |
| Referring domains (Majestic) | 186 | 18 |