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Busabase vs Argentic

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

Busabase compared with Argentic
DetailBusabase logo BusabaseArgentic logo Argentic
What it doesThe open-source database and workspace for AI agents An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
StageNot given MVP
FoundedNot given Not given
Based inNot given Not given
Pricing modelNot given Freemium
PricingFree: $0 (1 space, 3 seats, 5,000 records, 1 GB storage). Plus: $10/seat/month ($120/year, 2 months free) for 3 spaces, 10 seats, 20 GB storage. Pro: $20/seat/month ($240/year, 2 months free) for unlimited spaces, unlimited seats, 100 GB storage. 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
  • Open source MIT license - run locally, self-host on server, or use cloud
  • Support for multiple agents via REST API, MCP, Agent Skills, and OpenAPI
  • Human review and approval workflow for agent changes
  • Structured data tables with fixed columns for agents and people to share
  • Docs and knowledge base with verified sources
  • Reusable agent skills and playbooks
  • Apps and views built on shared data structures
  • Role-based permissions and access controls
  • Offline support on desktop with no usage tracking
  • 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
  • Only AI agent workspace that keeps complete history and requires human approval before changes enter canonical data
  • Unified workspace where agents and people access the same data, avoiding scattered chat logs
  • Completely self-hosted and private on your own hardware with full control over data
  • Works with any agent that calls REST API - no lock-in to specific model or platform
  • Rejects never enter canonical data - all decisions remain attached for auditability
  • 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 planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)17 −1 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)60
Citation Flow (Majestic)329
Referring domains (Majestic)1434

4 details filled in for both companies.

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