8 Best Dolt Alternatives in 2026 (Open Source)

Dolt – Git for Data. Combines SQL database functionality with Git-style version control specifically designed for data, making it ideal for tracking agent memory changes.

These 8 open-source tools do the same job. They are ordered by how closely they match Dolt, with live GitHub data so you can see which projects are actively maintained.

ToolGitHub starsStars / 30dLast commit
Dolt(original)24.5k+2,0462026-09-30
TiDB40.6k+3,3852026-09-30
Memary2.7k+122024-10-18
TencentDB-Agent-Memory27.6k+2,2992026-09-29
MCP Toolbox for Databases16.5k+1,3782026-09-30
DBX23.1k+1,9232026-09-30
WhoDB5.0k+562026-09-30
Chat2DB28.3k+2,3572026-09-29
DataLine1.6k+92025-05-29
  1. 1. TiDB

    TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data sil

    What sets it apart: Combines distributed SQL database with native vector search specifically designed for unpredictable agentic workloads.

    Best for: agentic workloads requiring scalable data storage; applications needing both transactional and analytical processing; systems requiring vector search capabilities

  2. 2. Memary

    The Open Source Memory Layer For Autonomous Agents

    What sets it apart: vs LangChain Memory / Mem0: graph-database-backed memory system emulating human memory (breadth + depth tracking) — agents automatically build and query knowledge graphs rather than flat conversation history

    Best for: Building persistent, context-aware AI agents with evolving memory; User preference tracking and personalization across sessions; Multi-user agent management with separate knowledge contexts

  3. 3. TencentDB-Agent-Memory

    TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LL

    What sets it apart: Provides a team-level memory hub that transforms diverse inputs into four reusable asset types shared across multiple agent frameworks without code changes.

    Best for: Teams running multiple AI agents that need shared memory; Organizations wanting to persist and reuse agent knowledge; Developers seeking plug-and-play memory for existing agent frameworks

  4. 4. MCP Toolbox for Databases

    MCP Toolbox for Databases is an open source MCP server for databases.

    What sets it apart: Provides both ready-to-use MCP server for database access and a framework for building custom, secure AI tools for production agents.

    Best for: Building AI agents that need database access; Creating secure database tools for production agents; Connecting MCP clients to enterprise data

  5. 5. DBX

    25 MB lightweight cross-platform database client for 100+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-

    What sets it apart: Combines lightweight database management with built-in AI assistant and MCP Server integration for AI agent tooling.

    Best for: Developers wanting AI assistance with database queries; Teams using AI coding agents that need database access; Projects requiring lightweight database tools with AI features

  6. 6. WhoDB

    A lightweight next-gen data explorer - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic Search, and Clickhouse with Chat interface

    What sets it apart: Ultra-lightweight (<50MB) modern database client with AI-powered natural language queries and MCP support — vs heavyweight tools like DBeaver or DataGrip that lack AI features

    Best for: Developers wanting a modern, lightweight database GUI; Teams needing AI-assisted SQL query writing; Quick database exploration and schema visualization

  7. 7. Chat2DB

    Chat2DB is a free, cross-platform, local-first database client and SQL workspace for developers, DBAs, analysts, and data teams. Connect to 40+ databases, manag

    What sets it apart: Combines a full-featured SQL workspace with an optional local agent runtime that supports MCP servers and file/terminal tools.

    Best for: Developers and DBAs wanting AI-assisted SQL generation; Teams needing a local-first database client with agent capabilities; Users requiring MCP integration for tool connectivity

  8. 8. DataLine

    Chat with your data - AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake, SQLite...

    What sets it apart: vs AI SQL tools (Text2SQL.ai/Outerbase): fully local, privacy-first desktop app with multi-database support — no cloud, no data leaves your machine

    Best for: Non-technical users querying databases via natural language; Data analysts wanting private, local AI-powered SQL assistant

FAQ

What are the best alternatives to Dolt?
The closest open-source alternatives to Dolt are TiDB, Memary and TencentDB-Agent-Memory, followed by MCP Toolbox for Databases, DBX and WhoDB. They are ranked by how closely they match what Dolt does.
Which Dolt alternative is the most popular?
TiDB has the most GitHub stars among Dolt alternatives, with 40,615 stars.
Which Dolt alternative is the most actively maintained?
By recent activity, DBX (4,791 commits in the last 90 days) is the most actively developed alternative.