| 08/19 | 8 |
Cross-platform hierarchical note taking application focused on building large personal knowledge bases.
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| 08/15 | 8 |
Open Knowledge Format harness providing an agent skill, Ruby CLI/library for validation and search, and graph server or render for managing Markdown knowledge bundles locally.
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| 08/25 | 7 |
Cloudflare-native personal knowledge management system with a Memos-compatible API and Cloudflare D1/R2 storage support.
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| 08/24 | 7 |
Cogeto turns document sets into verified, provable institutional memory by extracting facts, verifying each against its source, flagging contradictions, and producing signed findings reports.
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| 08/23 | 7 |
Obsidian vault template that stores persistent, self-organizing memory for AI coding agents across sessions, with hooks for Claude Code, Codex CLI, and Gemini CLI.
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| 08/22 | 7 |
Durable, structured knowledge bundles for AI agents, stored as versioned Markdown files and consumed through a Ruby-based library with CLI, Graph, and MCP interfaces.
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| 08/26 | 6 |
思源笔记效率工具箱插件集，提供番茄钟状态栏、反链、块关系图、思维导线、批注、文档合并、拍照闪记和AI知识库问答等功能。
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| 08/20 | 6 |
Claude Code 기반 Obsidian/Notion 연동용 위키 정리 플러그인으로, 노트 분류·연결·요약과 보관함 자동 정리, 안전한 자동 링크를 지원한다.
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| 08/19 | 6 |
AI-powered Obsidian plugin that ingests your notes and generates a connected knowledge wiki with structured entity and concept pages and conversational querying.
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| 08/04 | 6 |
Cross-platform desktop app for note taking, GTD, and knowledge management with git backup and blogging support.
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| 08/26 | 5 |
Local-first Markdown writing and knowledge management workspace with an Electron and Vue editor, AI-assisted features, encrypted local storage, and multi-device sync.
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| 08/17 | 5 |
macOS desktop app capturing clipboard content into a local AI-organized personal wiki with search, graph visualization, and insight reports.
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| 08/13 | 5 |
Reading workflow plugin for MarginNote 4 that connects AI and TTS services with Obsidian for iPad-to-iCloud workflows.
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| 08/17 | 3 |
KaaS compiles scattered notes, documents, and transcripts into a searchable Markdown wiki using a multi-phase LLM pipeline with MCP access, no embeddings.
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