| What it does | Ship agents into systems you can't afford to break
| An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | IL
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| Pricing model | Freemium
| Freemium
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| Pricing | Free plan includes 125,000 tasks and 75,000 triggers monthly with 5 seats and 1 on-prem agent. Starter: $29/month or $24/month billed annually. Business: $289/month or $240/month billed annually. Enterprise: custom 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.
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| Key features | - MCP server for AI agents and assistants
- Python and TypeScript SDKs
- REST API and CLI for scripts and coding agents
- No-code workflow canvas
- Managed authentication to connected systems
- Audit trail of agent actions
- Tool permissions scoped per agent
- On-premises agent for systems behind firewall
- Native integrations with Zendesk, Intercom, Freshdesk, ServiceNow, SAP, NetSuite, Salesforce
- Root cause analysis and backend execution of fixes
| - 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
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| What makes it different | - Secure enterprise-grade controls including granular tool permissions, audit trails, and versioning without sacrificing automation speed
- Autonomous AI agents that execute fixes end-to-end rather than just deflecting to chatbots or escalations
- Multiple interface options including MCP, SDKs, API, CLI, and no-code canvas for different developer and non-developer needs
- On-premises deployment capability for regulated or sensitive systems behind firewalls
- Seamless integration with entire enterprise tech stack including ERP, CRM, helpdesk, and observability platforms
| - 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
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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) | 33 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 31 | 9 |
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| Referring domains (Majestic) | 75 | 4 |
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Engini
Argentic