# dolthub/dolt

Dolt – Git for Data

Repository: https://github.com/dolthub/dolt
Canonical: https://ross.abutalabs.com/products/dolt
Homepage: https://www.dolthub.com
Language: Go
License: Apache-2.0
License Family: permissive
Topics: database, data-version-control, data-versioning, sql, git, git-for-data, mysql, database-version-control, version-controlled-database, database-versioning, git-for-databases, decentralized-database, git-database, immutable-database, git-sql, mariadb, agent-memory, agent-memory-server, ai-agents, ai-database
Last push: 2026-08-26T23:57:55+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 2597, "days_push": 7, "days_rel": 14, "gap_med": 2, "n_releases_24m": 216}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 24278, forks 867 (observed 2026-08-28T04:11:35.804822+00:00)

## What it is
Dolt is a version-controlled SQL database that lets you branch, merge, clone, push, and pull data like a Git repository. It exposes a MySQL-compatible server and a Git-like CLI, making it useful for collaborative data workflows and AI agent memory.

## Use cases
- version control a sql database with branches and merges
- collaborate on datasets like git repositories
- import csv files into a versioned database
- store memory for ai agents across multi-machine workflows
- run a mysql-compatible database with commit history
- diff and audit changes to table data over time

## When to choose
- you want git-style branching and merging for structured data
- you need auditable, immutable history of database changes
- you're building multi-agent systems that need shared, versioned memory
- you want to share datasets publicly with clone/pull semantics

## When to avoid
- you need a high-throughput OLTP database without versioning overhead
- you rely on MySQL/Postgres features Dolt doesn't support yet
- you need mature Postgres compatibility (use Doltgres, still beta)
- your workload is write-heavy with no need for data history

## Facets
- artifact type: application
- maturity: active
- function: database, version-control, cli, http-server, developer-tools
- domain: databases, version-control, developer-tools
- platform: windows, cli, go, self-hosted
- tags: git-for-data, sql, mysql-compatible, data-versioning, branching-database, agent-memory, csv-import, data-engineering, ai-agents, linux, macos, docker

## Member repositories
- dolthub/dolt (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:35.804822+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:56:15.999452+00:00, confidence not recorded.
  - readme: https://github.com/dolthub/dolt (fetched 2026-08-28T04:11:35.804822+00:00, sha ce35437b73ca)
  - homepage: https://www.dolthub.com (fetched 2026-08-29T07:53:37.266021+00:00, sha 0ef7b310db18)
- Data as of 2026-08-30T08:39:29.467469+00:00.