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flywheel-memory
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flywheel-memory

Active·★ 45·Apache-2.0·Updated 2026-05-19
★ Trending★ RAG / Knowledge Base★ Memory & Context

MCP server giving AI a knowledge graph over Obsidian vaults. 13-layer scoring that learns. Local-first, zero cloud.

Flywheel is a local-first memory layer for AI agents that works with Obsidian and plain Markdown. It provides grounded search across your notes, safe reversible writes, and local indexes that keep your data on your machine. Built for users who want AI to interact with their notes without sending data to the cloud.

#ai-tools#backlinks#benchmark#claude#claude-desktop#hotpotqa#knowledge-graph#local-first
$ Install
$ npx -y skills add velvetmonkey/flywheel-memory -g && cd /path/to/your/vault && bash <(curl -fsSL https://raw.githubusercontent.com/velvetmonkey/flywheel-memory/main/skills/flywheel/scripts/install.sh)
↗ Visit site★ GitHub
01

Features

01Grounded search with context
02Safe reversible writes that preserve Markdown structure
03Local-first by default with no cloud dependency
04Portable: notes stay in readable Markdown, state in local SQLite
05Optional local semantic search for related but unlinked notes
02

Compatibility

macOS
Native
Verified via docs
Linux
Native
Verified via docs
Windows
Supported (cmd /c npx)
Verified via docs
Node.js
Node 22+
Verified via docs
03

Quick start

1
$ npx -y skills add velvetmonkey/flywheel-memory -g
2
$ cd /path/to/your/vault
3
$ bash <(curl -fsSL https://raw.githubusercontent.com/velvetmonkey/flywheel-memory/main/skills/flywheel/scripts/install.sh)
04

Use cases

↳Solo consultant asking 'How much have I billed Acme Corp?'
↳Rocket engineer asking 'What's blocking propulsion?'
↳PhD researcher asking 'How does AlphaFold connect to my experiment?'
05

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Related searches

flywheel-memory AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge Baseflywheel-memory Tutorialflywheel-memory Vs Competitorsai-toolsbacklinksbenchmark

Comments

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  • Sterling Rivera
    Sterling RiveraMay 12, 2026

    Used for knowledge retrieval from a large Obsidian vault, the scoring quality is excellent

  • K
    Kendall DavisApr 22, 2026

    The multi-layer scoring captures relevance dimensions that single-score systems miss

  • Quinn Rivera
    Quinn RiveraApr 12, 2026

    13-layer scoring over Obsidian vaults is sophisticated knowledge graph retrieval

  • C
    Casey ZhangMar 25, 2026

    The knowledge graph approach surfaces connections that keyword search would miss

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 45
Last commit1w ago
StatusActive
LicenseApache-2.0
CategoryRAG / Knowledge Base
Trend (30d)
+1.8↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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