Database for Claude Code

Turn agent chaos into one database you can actually use.

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Works with
Claude Code
We launch the oat latte Thursday — draft this week's posts.

Nine posts across Instagram, X, and LinkedIn, visuals included. Opened one change request for your review.

busabase · change-requestSENT
content.posts
9 posts · 3 platforms
Do anything
Busabase
ReviewsThis week's posts

This week's posts

Claude Code · Content · Posts · just now

In review9 operations in Content: draft posts from the launch plan.

What will change

9. Create
InstagramRosetta season. The winter blend pours like silk.Mon 09:00
InstagramThe Oat Latte lands Thursday — $4.50 all week.$4.50$6.50Product base says $6.50Mon 20:00
InstagramCorner seat, 3pm light. Some afternoons write themselves.Tue 20:00
XSlow pour, no filter. Just the winter blend.Wed 12:00
XRoast drop day — 14 minutes, first crack at 9:40.Wed 20:00
X7:58am. The queue that forms before we open.Thu 09:00
LinkedInWhere the winter blend starts: 1,800m, Huila, Colombia.Thu 12:00
LinkedInSix years ago today: four seats and one grinder.Fri 10:00
LinkedInThe new roastery opens next month. Here's the space.Fri 20:00
Waiting for your reviewRequest changesApprove
USE CASES

Many agents. One trusted intelligent database.

Blog Posts base table
Agent submits post as a Change Request
Reviewer checks body and metadata
Approved post becomes a canonical record

More workflows

Unify the databases your agents touch — then make them trustworthy.

See use cases
Team MemoryNotes, sources, decisions, and agent-readable context, verified before reuse.
MarketingCampaign records, social posts, newsletters, and assets become approved content data.
OperationsProjects, tasks, vendors, and ownership updates become reliable ops data.
Routine WorkRecurring work logs become reviewable institutional memory.
ComplianceAccess reviews, vendor checks, and evidence lists keep an audit trail.
ResearchMarket signals and monitored sources become analyst-verified knowledge.
Content FactoryIdeas, briefs, drafts, and creative assets pass through one trusted pipeline.
ConfigService configs and policy data are reviewed before automation uses them.
SupportHelp articles, saved replies, and product facts are approved before customers see them.
Product catalogListings, specs, pricing, and relations become a trusted commercial database.
LocalizationAgent translations become locale-specific records reviewed by native speakers.
HiringCandidate notes, evaluations, and interview signals stay reviewable.

How it works

Turn every agent output into a trusted intelligent database.

Agents propose, you verify, and approved records become reusable memory for agents and apps. Start locally, then add Cloud when you need collaboration.

01

Agents propose changes

Claude Code, n8n, custom agents, or any producer submits structured records, enrichment, labels, and updates over API.

02

Humans verify facts

Reviewers inspect field diffs, source context, and downstream impact instead of trusting raw AI output.

03

Revise with evidence

Ask agents to revise, add sources, or explain decisions while comments, commits, and reviews stay attached.

04

Merge into intelligence

Approved work becomes canonical data that CRM, CMS, dashboards, and agent memory can all reuse.

Features

Turn agent writes into intelligence you can trust.

Approve, request changes, merge — and every downstream record is one a human verified. Busabase turns the AI firehose into a personal, traceable, reusable intelligent database.

  • Change Request review

    Each submission is a field-level diff — inspect it before it enters the database.

  • Fact verification

    Reviewers check source context and impact before hallucinations become business facts.

  • Canonical knowledge

    Approved work becomes the source of truth, with commit history and relationship context.

  • Audit trail

    Every submit, approval, and merge is logged — who, when, and why.

Inbox · review queueMarketing4 pending
Cclaude-codeNvidia
industry → Semiconductors · AI
RejectApprove
Nn8nLaunch announcement
queued
ZzapierJensen Huang
queued
Cclaude-codeQ3 renewal
queued
Approved work enters intelligence1,247 trusted records

Agent-first API

Claude Code, n8n, Zapier, or your own agents submit structured changes through Agent Skills, MCP, or OpenAPI.

Spaces & permissions

Separate personal projects, clients, or business lines by Space; owner, admin, and reviewer roles.

Open source, local-first

Busabase core runs locally on PGlite. Cloud adds collaboration, hosted APIs, and permission governance.

Inside Busabase

From Inbox to trusted intelligent database.

The whole review loop — pending changes, field-level diffs, audit history, canonical records, and the graph behind your business data.

Busabase inbox — pending change requests from agents

Inbox: pending changes

Every agent submission lands in one fact-verification queue.

Graph view of seeded data

Graph view

See how customers, content, assets, and business objects connect.

Agent-proposed diff awaiting human review

Field-level fact review

Inspect sources and diffs field by field, then approve or request changes.

Base table — canonical approved records

Canonical records table

Approved changes become trusted records in your intelligent database.

Base records grid view

Records grid view

Browse, filter, and maintain verified records like a database.

Record detail with full audit trail

Full audit trail

Who submitted, approved, and merged — traced.

Why trusted intelligence needs review

Raw agent output vs. a trusted intelligent database

Without Busabase
With Busabase
Agents write straight into tools, docs, and databases.
Agents propose changes into one reviewable data layer.
Hallucinations become hidden business facts.
Only human-verified records become canonical knowledge.
Teams cannot tell which source, agent, or reviewer to trust.
Every record keeps source, agent, reviewer, and merge history.
Each team invents a different approval workflow.
One Inbox and data contract govern every agent.
Automation stalls because nobody trusts the data underneath it.
A reusable intelligent database powers agents, apps, and decisions.

FAQ

Questions, answered

Is Busabase open source?

Yes. The local engine is open source — run it yourself, no SaaS required.

Can I self-host, or is it cloud-only?

Both. Run the open-source desktop / local engine, or use Busabase Cloud — the approval workflow is identical either way.

Which agents does it work with?

Any agent that can call a REST API — Claude Code, Codex, Gemini CLI, n8n, Zapier, LangChain, or your own. Paste the SKILL.md and go.

How does Busabase help me build an intelligent database?

Start with the bases your agents already touch — CRM, content, research, support, finance, datasets. Agents propose changes; you verify them; approved records become reusable memory for you, agents, and apps.

What happens to rejected changes?

Rejected work never enters your canonical data. Every decision — approve, request changes, reject — stays attached so the record remains explainable later.

Is my data private?

Yes. With the local engine your data never leaves your machine; on Cloud it stays in your own space. You stay in control.

Build an intelligent database you and your agents can rely on.

Trust before automation. Every record keeps its source, review, and history.

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