Busabase
A shared database and workspace for people and AI agents to keep records, docs, skills and apps.
Busabase is an open-source database and workspace for people and their existing AI agents. Teams keep business records, docs, reusable skills and apps in a shared base so another agent or teammate can continue from work already done. Permissions decide whether writes take effect immediately or wait for review, and each change retains history. Available as Cloud, Personal Desktop and self-hosted open source. The MIT edition is free; Cloud has free and paid plans. Submitted by the Busabase team with AI assistance.
Key Features & Capabilities
Core highlights, automation workflows, and capabilities offered by this tool
Unified Bases for structured work
Store customers, projects, product catalogs, inventory, campaign records, and other operational data in fixed-column tables that people and AI agents can read and update consistently.
Shared knowledge and documentation
Build a searchable knowledge base for verified answers, meeting notes, decisions, and source-backed documentation so subsequent agents can work from existing organizational context.
Agent skills and playbooks
Save repeatable workflows as reusable skills and document team procedures as playbooks, enabling agents to follow established processes rather than restarting from scratch each session.
Internal apps on live workspace data
Create internal tools with AirApps on top of the same underlying data, allowing teams to view current CRM, content, operations, or product information without maintaining separate systems.
Operations leads and business owners already using AI agents; teams maintaining shared business records, knowledge and reusable workflows.
How It Works (Step-by-Step)
The end-to-end user journey from input to automated output
Step 1
Create a shared Busabase workspace with bases for structured data, docs for knowledge, apps, skills, and playbooks.
Step 2
Connect or use external AI agents such as Claude Code, Codex, Cursor, Manus, Grok Bot, Hermes, OpenClaw, Buda AI, Muse, and WorkBuddy to read and write within the workspace.
Step 3
Agent outputs are saved as reusable company assets—such as records, documents, workflows, and internal apps—so people and future agents can find, verify, and build on them.
Frequently Asked Questions
Quick answers to common questions regarding functionality, billing, and access
Is it free to try?
Who is it for?
How does it work?
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