Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly RAG and vector search, search and retrieval — source available on GitHub.
AI Coding / Catalogue record
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Catalogue record
github.com
DecisionNode
📇 🏠 🍎 🪟 🐧 - Record development decisions as structured JSON, embed as vectors via Gemini, and search semantically over MCP. Shared store acr...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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📇 🏠 🍎 🪟 🐧 - Record development decisions as structured JSON, embed as vectors via Gemini, and search semantically over MCP. Shared store across Claude Code, Cursor, Windsurf, and any MCP client. CLI + MCP server, local-only, free Gemini embedding tier.
Best for
Developers using AI assistance for code generation, review and refactoring, particularly RAG and vector search, search and retrieval — source available on GitHub.
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
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Evidence summary
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
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GitHub / decisionnode/DecisionNode
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- Catalogue updated Oct 27, 2026
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