briq vs Argentic

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

briq compared with Argentic
Detail	briq	Argentic
What it does	Cloud sandboxes and services for builders and agents	An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
Stage	Not given	MVP
Founded	Not given	Not given
Based in	FR	Not given
Pricing model	Freemium	Freemium
Pricing	Hobby (Free): 5 sandboxes & services at once, 16 GB of memory, pico/micro/nano/small/medium sizes, 10 GB disk. Pro (€20/month): €20 usage included monthly, 50 sandboxes & services, 80 GB memory, 5 members, all sizes, 250 GB disk, always-on briqs. Team (€100/month): €100 usage included monthly, 200 s	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.
Key features	Linux sandbox with shell, persistent files and development tools Multiple services: Postgres, Redis, DuckDB, custom OCI images MCP integration with Claude, Cursor, VS Code Environment forking with data preservation Idle workload sleep mode with compute billing pause Private networks with public endpoint selection Spend caps, size limits and concurrency controls per credential Audit log for reviewing all actions	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
What makes it different	Built specifically for AI agents with native MCP protocol support Open-source runtime in public development with Rust and Firecracker Integrated services ecosystem with private networking	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
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	18 −1 (down) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	20	9
Referring domains (Majestic)	24	4

5 details filled in for both companies.

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