| What it does | Policy-driven spending controls for AI agents
| An AI agent with its own cloud and wallet
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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
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| Pricing | Free: $0/month (open source, self-hosted). Pro: $24/month with hosted dashboard, 3 agents, 1,000 spend checks/month. Team: $99/month with 10 agents, 10,000 checks/month, team approvals. Business: $299/month with unlimited agents and checks.
| Free: $0 forever with your own API keys. Pro: $20 per month with $20 of hosted credit a month (or $240 at once on yearly, save up to 17%). Team: $18 per seat, monthly, 2 to 5 people, with $18 of shared credit per seat monthly. Compute costs about $6 per GB a month from credit, charged by the second.
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| Key features | - Policy Engine with YAML configuration for amount limits, merchant allowlists, category blocks, business hours, and duplicate windows
- Duplicate Detection using SQLite to prevent the same purchase twice within a configurable time window
- Human-in-the-Loop approval with Telegram alerts and dashboard queue for purchases exceeding threshold
- MCP-Native integration for OpenClaw, Hermes, and any MCP-compatible agent
- Zero Credential Exposure with no access to cards, tokens, or Stripe credentials
- Local-first architecture with all policy files, logs, and databases stored on your machine
- Dry-run and simulation mode for testing policies before deployment
| - Real files, real commands, web access, and browser beside the chat
- Memory written to disk as plain text you can edit and delete
- Auto mode with safe judgment on your own model
- Delegate work to helper agents sharing a task list
- Chat apps: Telegram, Discord and Slack integration
- Support for MCP servers, plugins and IDE integration
- Cloud tasks that keep running after you close the app
- Services that stay online with scheduler, webhook and watcher
- Web apps with their own live link at letronna.si
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| What makes it different | - Policy-driven rules that the agent cannot override, unlike prompt-based guardrails
- Zero credential exposure means the gateway never sees payment cards or API keys
- Duplicate detection with SQLite prevents duplicate purchases within a configurable time window
- Native MCP integration works out of the box with OpenClaw, Hermes, Claude Code, and Cursor
| - Runs locally with your own keys; nothing leaves your machine unless you connect a hosted model
- Starts in 7.65 ms with 84% on Harness-Bench
- Plain text memory files you can edit, not a black box
- Works with any model: OpenAI-compatible, Anthropic, Ollama, llama.cpp or hosted
- Pay only for hosted models and cloud compute, not per seat
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 23 ▲ +1 (up) since last check | 29 ▲ +9 (up) since last check |
| Trust Flow (Majestic) | 6 | 0 |
| Citation Flow (Majestic) | 19 | 0 |
| Referring domains (Majestic) | 12 | 0 |