Busabase
Busabase is an open-source database and workspace for AI agents where people and agents share structured data, docs, skills, apps and workflows. Its stated mission is to put a billion people in control of their own AI by making agent work visible, reviewable, reversible and reusable.
At a Glance
- Small teams and startups adopting multiple AI agents
- Growing workspaces needing shared, reviewed agent-written data
- Enterprise teams requiring private deployment, SSO, audit exports and SLA
- Content, marketing, sales, operations, research, product and compliance teams
- +1 more
AI Tools by Busabase
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Busabase
Open Source Database for AI Agents
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Latest News
Busabase looks like an AI table. Judge it by the problem it solves.
ChatGPT Space and Dots put agents in documents; Busabase discusses review of their record writes.
Agentic commerce: product catalogs are read and written by agents.
Drafts, audit logs, or 'don't': comparison of how platforms handle AI-agent writes.
Products & Services
Managed cloud deployment with shared spaces, seats, hosted storage, review queues, APIs, webhooks and MCP access.
MIT-licensed, local-first database and workspace that runs on a user's machine or inside a private network; available via npx, Docker, source, desktop and mobile applications.
Typed, related, queryable records with views, forms and structured fields for business data and agent output.
Durable documents and shared team memory with source, review history and versioning.
Market Position
Busabase positions itself between people-first tools such as Notion and Airtable and developer-first databases/platforms such as Supabase: it combines structured data that agents can read and write with human-readable interfaces and a review gate for changes. It differentiates from agent memory/vector stores by serving a whole team's shared system of record, from Linear by keeping the resulting business data rather than only process, and from Sanity/Notion-style agent features by making record-level proposed changes, provenance and approval central.
Leadership
Founders
Kelly Chan
Founder and technology executive with 14+ years across engineering, product, growth and operations. Previously founded Vika and AITable, serving as their Founder & CEO; was founding CTO, Head of Internet Business Unit, Head of PMO and board member at HEYTEA, where he led digital transformation and built HEYTEA GO; earlier was a senior software engineer/game architect at Kingsoft Software/Seasun Games.
Executive Team
Kelly Chan
Founder
Serial founder and technology executive; Founder & CEO of Vika/AITable, former HEYTEA founding CTO and digital-transformation leader, and former Kingsoft/Seasun software engineer and game architect.
Founding Story
Busabase emerged from the team's experience running more than 30 agents inside a company in early 2026. They found that individual agents kept isolated drives, sessions and files, creating agent silos, weak permissions and no shared record of the work. The initial vision was to build the 'seat' for agents: a shared, structured workspace where agents propose work, people review it, and approved results remain as durable company data.
Business Model
Revenue Model
The core engine is free and MIT-licensed. Busabase monetizes managed cloud hosting on a per-seat subscription basis and sells enterprise managed-cloud or commercial self-hosted licenses with support, security review and SLA. Cloud pricing is flat per seat with no metered usage or automatic overage billing.
Pricing Tiers
One owned space, up to 3 seats, 5,000 records, 20 nodes, 1 GB attachments, one self-hosted connection and community support.
Billed annually at $120 per seat; 3 owned spaces, 10 seats per space, 50,000 records, 200 nodes, 20 GB storage, 3 self-hosted connections, whiteboards, skills, workflows, OpenAPI, webhooks and MCP.
Billed annually at $240 per seat; unlimited owned spaces, seats, records, nodes and self-hosted connections, 100 GB storage, AirApps/HTML pages and priority support.
Managed cloud or commercial self-host license with custom storage, multi-stage review, SSO/SAML, audit-log export, private deployment support, DPA, SLA and dedicated account manager.
Target Markets
- Small teams and startups adopting multiple AI agents
- Growing workspaces needing shared, reviewed agent-written data
- Enterprise teams requiring private deployment, SSO, audit exports and SLA
- Content, marketing, sales, operations, research, product and compliance teams
- Developers and platform builders integrating agent output through APIs, MCP or SDKs
- Customer support knowledge, tickets and SLA tracking
- Marketing, CRM, campaign records and social content operations
- Content production and review pipelines
- Team memory, meeting notes and decisions
- Operations, projects, tasks and supplier tracking
- Research and monitored market signals