Comparison

Busabase vs Hindsight for AI Agents

Hindsight, from Vectorize, is agent memory that learns: it extracts facts from what an agent sees, consolidates them into observations, and keeps rewriting what it believes as new evidence arrives. Busabase is where your agents and your team keep the work itself — records, docs, Skills, and apps — and every change, from a person or an agent, arrives as a Change Request someone can read and roll back.

One is a memory that updates itself. The other is a set of records your team inspects and owns. They answer different questions, and plenty of teams will run both; this page compares them by the jobs people bring to them.

Last verified 13 November 2026 against Vectorize's pricing and product pages, the Hindsight documentation, billing docs, blog, and GitHub repository, and Busabase's current product.

The short verdict

Choose Busabase when

the things your agents write have to be right and owned — customer records, policies, price lists, Skills — and you want each change to show up as a Change Request with a diff, an author, and undo.

Choose Hindsight when

you are building an agent that should get better with use: remember users and past work, form beliefs from many conversations, and reason over them, with retrieval tuned for that.

Use both when

your agents need a memory that learns at run time, and your team needs the records that memory starts from. Busabase holds what the team decided; Hindsight learns from it and from every conversation.

The core difference: every change is a Change Request

Think of it as a pull request for your data. In Busabase, every edit — a record, a Doc, a Skill file, a schema change — is a Change Request: a branch with a chain of immutable commits. Merging moves the record forward; nothing is overwritten.

Hindsight is designed to change on its own. After an agent retains something, “Hindsight automatically consolidates related facts into observations”, and a background worker keeps refining them as evidence piles up. Mental models and pages go a step further: “You define the question once; Hindsight writes the answer, keeps it stored, and rewrites it in the background as the bank learns more.” It keeps a real trail — observations are refined rather than overwritten, mental models keep their previous versions, raw facts are preserved, and you can edit, invalidate, or restore a fact afterwards. What it has no step for is a person reading a change to a belief before it applies. That is the point of a memory that learns, and it is the opposite of a record a team signs off on.

  • A message and a diff on every write. Each change says what it does and shows the field-level before and after.
  • Know which agent did it. The author, and the key or tool the change came through, stay on the commit.
  • Undo is built in. Every record, Doc, and Skill keeps its full history, and any change can be rolled back.
  • Review when you choose. Writes with write access land immediately. Give an agent a proposal-only key and its changes wait in the Inbox for a person to approve or send back.
A Busabase Change Request under review: its message, a before-and-after diff of a record's body, and Approve or Request changes controls
A Change Request in the Inbox: what changed, who proposed it and through which tool, and the before and after of the field, with Approve or Request changes.

In one line: Hindsight rewrites what the agent believes so the agent gets smarter; Busabase changes a record only through a Change Request, so the team can see — and, if it wants, approve — every step.

What else Busabase gives your agents and your team

A memory engine makes one agent smarter. These are the things a team needs around all of its agents' work, and in Busabase they come with the workspace.

Visual data tables

Every Base opens as a table, gallery, kanban board, calendar, or Gantt chart, with saved views and AND/OR filters. Anyone can see what an agent wrote and fix a cell in place.

A team knowledge base

Records sit beside the Docs that hold your policies and the files agents produce — one tree that people write and agents read, under one permission model.

Grep across everything

One regex search covers files, Doc bodies, Base records, and agent prompts, and returns each matching line with its context — the exact wording, not a ranked guess.

Skills you upload

Put the Skills your team writes into the workspace once. Every connected agent reads the same version, and editing a Skill is a Change Request like any other.

Apps with four engines

Ask your agent to build an AirApp on your data. Run it in the browser, on your own machine, in a cloud sandbox, or as a website that stays online.

Websites on your domain

The Website engine runs on Cloudflare Workers, can have its own backend endpoints, and takes your own domain. Your agent can preview and publish it for you.

Built for teams

Invite teammates with read, write, or manage roles, and let agents join with keys capped at the level their job needs. Permissions apply per node and per key.

Agents connect in minutes

MCP, a CLI, an OpenAPI REST API, webhooks, a Python SDK, and plugins for Claude Code and Codex. The bundled skill teaches the agent how your workspace is organised.

Runs where your data has to

MIT-licensed, the whole product. Run it on your laptop, inside your own network — including fully offline — or on Busabase Cloud. A space exports to plain files: Markdown, Base definitions, and JSON records.
A Busabase Base showing agent-written blog posts as a table with title, cover image, and body columns, plus saved views for Ready to publish and Drafts
A Base in Busabase: posts an agent wrote, with cover images and bodies, readable and editable by anyone on the team. Saved views such as “Ready to publish” filter the same records.

Comparison by the job you are trying to do

Each row is a job teams bring to these products, not a feature checkbox. Where Hindsight is the right tool, the table says so.

What you are trying to doBusabaseHindsight
See every change to your team's data — before, after, and who made itBuilt in — a Change Request with a field-level diff, the author and the agent key it came through, full history, and undoObservations keep a refresh history and mental models keep previous versions; hand-edited facts get an Edited badge. A who-did-what audit log is available on Enterprise and can be turned on for Cloud organizations
Let an agent propose a change without applying itYes — a proposal-only key; its changes wait in the Inbox for a personNo review step in its docs: retained content is extracted and consolidated automatically (you can switch consolidation to run only on demand)
Fix something an agent got wrongYes — edit the record, or roll back the exact change; the fix is itself a Change RequestYes, through the API or CLI: edit, invalidate, or restore a raw fact, and derived observations regenerate. Observations cannot be edited directly
Let teammates read and edit what agents wroteYes — table, gallery, kanban, calendar, and Gantt views, no codeA Cloud console to browse banks, memories, mental models, and pages
Keep the policy text people write as the sourceYes — Docs and records are the source; people and agents edit the same thingMental models and pages are written by Hindsight from memory and rewritten as the bank learns; raw documents remain the record of what was said
Run a team knowledge baseYes — Docs, files, and Bases in one tree with shared permissionsPages: a folder tree of documents each bank writes about itself, searchable, and mountable as Markdown files
Find exact text across everythingYes — one regex grep over files, Doc bodies, records, and agent prompts, with line and contextFour-way recall over memories (semantic, keyword, graph, time), page search, and grep over pages once mounted as files
Give every agent the same team SkillsYes — upload the Skills your team writes; every connected agent reads the same versionNot a Skills store. Each bank takes a mission and directives that shape how it reasons
Turn the data into an app or a website on your domainYes — AirApps in the browser, on your machine, in a cloud sandbox, or as a website (custom domains on Plus and above)Not a product feature
Invite teammates and agents into one workspaceYes — members with read, write, or manage roles; agents join with their own keysCloud teams with role-based access and API keys; memory lives in isolated banks, typically one per user or agent
Connect Claude Code, Codex, Cursor, and other agentsYes — MCP, CLI, OpenAPI, webhooks, and agent pluginsYes — a built-in MCP server, one install for 20+ coding agents, and Python, TypeScript, and Go clients
Know the bill before it arrivesFlat per seat — no metered overagePay as you go per token and per call, no seat fee; self-hosting is free
Self-host the whole productYes — MIT, from a laptop to an air-gapped networkYes — MIT, one Docker command; Enterprise adds on-premises, including air-gapped, and the Memlake engine
Memory that learns from experience: extracted facts, consolidated beliefs, and reflection over themNot its job — use HindsightYes — this is Hindsight's home ground

Coming next

Three features are being built now. They are not available yet; we list them so you can plan, and this page will be updated when they ship.

App users In development

People who use the apps you publish — a shop's customers, say — sign in with an email code and see only their own records. The platform enforces it, and they never become workspace members or take a seat.

Ontology In development

Define the business objects your team talks about — Company, Contact, Deal — and the links between them on top of your existing Bases, so people and agents share one vocabulary. Changes to it go through Change Requests too.

Fine-grained permissions In development

Row- and field-level access inside a Base, scoped agent grants with an expiry, and access requests a person approves — so each agent gets exactly the access its job needs.

Beliefs a model keeps current, or records a team signs off

Hindsight takes learning seriously. Each memory bank keeps what it was told, what the agent itself did, the observations consolidated from both, and the mental models built on top — what Vectorize calls “all four memory networks.” Observations carry their evidence with exact quotes and a proof count. When an agent asks a question, reflect runs its own retrieval loop, reads mental models and pages first, then observations, then raw facts, and cites what it used. A bank's mission, directives, and disposition shape how it reasons.

Pages show where the line falls. They look like a wiki — a folder tree of Markdown documents — but they are written by the bank, from its observations, and edited by it as it learns. Hindsight's own docs put it plainly: “Your raw documents remain the source of truth about what was said. The pages are the reconciled truth about what holds.” For an agent's working knowledge of a codebase or a customer, that is exactly what you want.

It is not what you want for the things your team has to stand behind: the refund policy, the approved price list, the contract terms, the Skill that tells every agent how to quote. Those should not be reconciled by a model in the background. They should be records a person wrote, can read in full, and can change only through a Change Request — merged by someone with the right to merge it, and reversible next week.

That is what Busabase is for. The record is the source, the history is the team's decisions, and an agent that learns something new proposes it as a change rather than quietly believing it. For the longer version, read Agent memory vs knowledge base vs system of record.

Using them together

The two fit without overlap. A common split:

  1. Your team keeps policies, customer records, and the Skills agents follow in Busabase. Every change, from a person or an agent, is a Change Request.
  2. When a change merges, a webhook or an agent retains the updated record into the right Hindsight bank, so the agent's memory learns the decision instead of guessing it from chat.
  3. At run time each agent recalls and reflects against its own bank — what this user prefers, what it tried last time — and reads Busabase when it needs the authoritative record in full.
  4. When the agent concludes something the team should own — a new FAQ answer, a corrected customer detail — it proposes it to Busabase as a Change Request, where a person can read it and undo it.

Neither replaces the other. Hindsight gives each agent a memory that improves with use; Busabase gives the team the records that memory should start from and come back to.

Pricing at a glance

Busabase

Free: 1 space, 3 seats, 5,000 records, 1 GB of files, every node type including Skills, workflows, and AirApps.
Plus: from $10 per seat per month (billed yearly). Pro: from $20.
Flat per seat, no metered overage. Self-hosting is free under MIT with no seat limit.

Hindsight

Self-hosted: free, MIT, no usage limits.
Hindsight Cloud: pay as you go, no monthly fee or seat price, $5 of free credit to start. Retain $10 per million tokens, recall $0.75 per million tokens, reflect $0.05 per call, storage $0.25 per million tokens a month for memories older than 30 days.
Enterprise: contact sales.

Prices as published on 13 November 2026. The two models differ: Busabase charges per person, Hindsight per unit of memory work, so the cheaper one depends on how many people you have and how much your agents retain. See Busabase pricing, Hindsight pricing, and Hindsight billing for current details.

Where Hindsight is the better choice

  • Your agent should get better the more it works. Remembering users, consolidating many small facts into beliefs, and keeping standing answers current in the background is what Hindsight is built for.
  • Retrieval quality is the bottleneck. Recall runs semantic, keyword, graph, and time searches in parallel and fills a token budget. Vectorize reports 94.6% on LongMemEval-S on its own benchmark page — the vendor's figure, not one we have reproduced.
  • You want memory inside your own stack or your coding agents. It is MIT-licensed, runs from one Docker command, and installs into 20+ coding agents in one step.

Busabase's limits, plainly: it does not extract facts from conversations, consolidate them into beliefs, or reflect over them, and it has no vector index. It also has no realtime subscriptions, and sign-in for the end users of the apps you publish is in development (App users) but not available today. If your agent needs a memory that learns, run Hindsight alongside it.

Frequently asked questions

Is Busabase an agent memory system like Hindsight?
No. Busabase is a workspace where agents and people keep structured records, docs, Skills, and apps. Agents read it as their source of truth, but it does not watch conversations, extract facts, or form beliefs on its own. That is Hindsight's job.
Hindsight keeps history and lets me edit memories. How is a Change Request different?
Hindsight's history records how its memory evolved, and curation fixes a fact after the fact: you edit or invalidate it through the API or CLI and derived observations regenerate. A Change Request is the edit to the team's record itself. It carries a message, an author, and a field-level diff, can wait for a person before it applies, and can be rolled back.
Hindsight Pages look like a wiki. Could they be our knowledge base?
They are a good working memory for an agent, but the bank writes and rewrites them from its observations, and Hindsight describes your raw documents — not the pages — as the source of truth about what was said. A team knowledge base people write and approve is what Busabase Docs are for.
Does every agent write to Busabase need a human review?
No. Writes from anyone with write access land immediately and keep their history. Review is opt-in: give an agent a proposal-only key, or ask it to submit a change for review.
Can I self-host both?
Yes. Both are MIT-licensed. Busabase runs on one machine, your own server, or an air-gapped network — see the self-hosting guide. Self-hosted Hindsight runs from one Docker command with embedded Postgres; its Memlake storage engine for very large banks is part of Hindsight Enterprise.
Which costs less?
It depends on the shape of your team. Busabase is a flat price per seat with no metering, and free to self-host. Hindsight Cloud has no seat price and bills per token retained and recalled and per reflect call, so a small team with heavy agent traffic and a large team with light traffic will land in different places.

Next step

Connect an agent you already use and ask it to put one piece of team knowledge it currently only remembers into Busabase — a policy, a customer table, a Skill. Then ask it to change something, and read the Change Request it produces.

Related reading: All comparisons · Busabase vs Mem0 · Busabase vs Zep · Agent memory vs knowledge base vs system of record · Busabase vs Supabase · How Change Requests work

Sources: Hindsight documentation overview, Hindsight pricing (Vectorize), How Hindsight works (Vectorize), Hindsight Cloud billing, Observations (Hindsight docs), Mental Models (Hindsight docs), Pages (Hindsight docs), Memories API (Hindsight docs), Hindsight Cloud (Hindsight docs), Hindsight Enterprise (Hindsight docs), Hindsight Benchmarks, “Introducing Hindsight Memlake” (Hindsight blog, 13 Oct 2026), Hindsight on GitHub (MIT), Busabase pricing