decisionnode/DecisionNode
by Various
CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.
MCP
decisionnode/DecisionNode
Added 1 June 2026
Overview
DecisionNode is a CLI tool that provides a local, shared structured memory store for MCP-based coding assistants. It works with Claude Code, Cursor, Windsurf, Antigravity, and any MCP client. The store is semantically queryable.
Best for
Best for
Developers who want a consistent memory layer across multiple MCP-based coding assistants
Use cases
- Share structured memory across multiple AI coding assistants
- Query stored knowledge semantically from any connected tool
- Build a persistent context layer for AI-assisted development
How to use
Install
npm install -g decisionnode Tools exposed
decide
Tested with
Claude Code, Cursor, Windsurf
Notes
DecisionNode is a CLI tool that provides a local, shared structured memory store for MCP-based coding assistants. It works with Claude Code, Cursor, Windsurf, Antigravity, and any MCP client. The store is semantically queryable.
39 stars on GitHub. Last updated 2026-04-15. Licensed MIT.
Use cases
- Share structured memory across multiple AI coding assistants
- Query stored knowledge semantically from any connected tool
- Build a persistent context layer for AI-assisted development
Pros
- Works with multiple AI coding assistants without per-tool setup
- Data stays local and under your control
- Simple CLI interface for managing structured memory
Cons
- Low community adoption and limited documentation
- Dependency on MCP protocol, only works with compatible clients
- Requires command line comfort for setup and use
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Works with multiple AI coding assistants without per-tool setup
- Data stays local and under your control
- Simple CLI interface for managing structured memory
Cons
- Low community adoption and limited documentation
- Dependency on MCP protocol, only works with compatible clients
- Requires command line comfort for setup and use
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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