Argentic vs digithings

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

Argentic compared with digithings
Detail	Argentic	digithings
What it does	An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget	Open-source AI infrastructure you self-host on your own hardware with your own keys
Stage	MVP	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Open source
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.	Self-host: $0 (open source, MIT-licensed). Service and Enterprise tiers available on contact for integration and custom development work.
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	Provider routing with LiteLLM
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	Complete ownership: your keys, hardware, data and audit logs stay under your control No vendor lock-in: compose individual modules with your existing stack rather than replacing it Full transparency: MIT-licensed, publicly developed on GitHub with open issues, PRs and commit history Every request traceable: one ID threads through all services with full audit logging
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)	Not checked yet no change since last check	5 −4 (down) since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	9	13
Referring domains (Majestic)	4	1

5 details filled in for both companies.

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