| What it does | An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
| AI model of your product's business logic accessible to people and AI agents
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| Stage | MVP
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Prototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring.
| Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
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| Key features | - Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
- Spending limits checked before each model call at token prices you declare
- Resume after crash without repeating finished actions
- Tool calls returned as actions for your code to carry out
- Proof of what ran: check prompts, re-run engine, download hash-chained journal
- Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
- MCP server for Claude Code, Claude Projects and Codex
- Works with any model via bring-your-own-key
- TypeScript and Python clients for HTTP API access
| - Builds features, rules and customer paths and keeps them current with every push
- Shows what each commit changed in the business logic, not only in the code
- Provides change impact analysis before merge showing what could break
- Checks PRDs and specifications against the product
- Delivers understanding to AI agents over MCP
- Runs locally on your machine with GMM Local
- Finds risky patterns and problems in the product
- Enterprise deployment inside your security boundary
- Integrates with Claude Code, Cursor, Codex and VS Code
- MCP access for agents with 1-10 credits per answer
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| What makes it different | - Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
- Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
- Resumes from crash without repeating finished actions using stable idempotency keys
- Budget enforcement before each model call, not reactive overage billing
- No model key storage or logging; your provider bills you directly
| - Nearly 3× fewer errors on Benchmark 001 compared to alternatives
- 8.4K tokens per question instead of 27.4K for competitors
- Results published and measurable; method is proprietary
- Reduces AI cost per completed agent action from $0.35 to $0.08
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 3 |
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| Citation Flow (Majestic) | 9 | 28 |
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| Referring domains (Majestic) | 4 | 50 |
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Argentic
GitMir