Open source. Open possibilities.

Obsidian plugin that embeds the DeepSeek Harness native Web UI, giving each vault its own isolated DSH instance for AI-assisted note work, with selection/file linking, model config sync, and optional portable runtime.

A local-first review surface for writing with AI coding agents, allowing users to annotate and edit documents while routing feedback back to the agent session.

Local-first, auditable AI-assisted job-search workbench: JD analysis, application tracking and resume workflows with anti-fabrication safeguards, plus interview and offer pipeline. Markdown and CSV files, BYOK AI CLI, privacy-first.

A collection of Agent Skills that teach AI coding agents to work with Obsidian vaults, covering Obsidian Flavored Markdown, Bases, JSON Canvas, the Obsidian CLI, web page extraction, and template rendering.

A collection of 120 plain-text DESIGN.md brand design specifications reverse engineered from live production sites, letting AI coding agents generate on-brand UI. Each brand includes real colors, typography, components and guardrails plus a self-contained preview.html.

CoalLedger is a docs-health checking suite for AI coding agents — the documentation counterpart to CoalMine's code canaries. Seven canaries flag wrong, incomplete, stale, contradictory, broken, unreadable and (optionally) leaked documentation, with a bundled zero-dependency CommonMark+GFM AST engine, context-judged severity and choice-gated fixes.

Lemory is a local middleware that transforms markdown notes (e.g., Obsidian vaults) into a context database for AI agents. It supports keyless on-device hybrid search, Korean-specific processing, hierarchical token savings, and knowledge graph visualization, integrating with various AI tools via MCP.

Self-hosted Telegram bot that turns an Obsidian vault into a personal AI agent: capture text, voice, photos and links, then file them as markdown, kanban tasks and a finance ledger. Modules (planning, knowledge, finance) are fail-closed and can be disabled entirely.

An open, git-based standard for organizing agent knowledge and instructions in portable Markdown folders, with a TypeScript reference library and conformance kit.

Docling parses diverse document formats including PDF, DOCX, PPTX, XLSX, HTML, EPUB, images, audio, and more, with advanced PDF understanding, export to Markdown/JSON, OCR, VLM support, and integrations with LangChain, LlamaIndex, and other AI frameworks for RAG and agentic workflows.

Firecrawl is an open-source web data API for searching, scraping, crawling, and interacting with websites, turning pages into clean Markdown, JSON, or screenshots for LLM-ready use by AI agents and applications.

AksharaMD is a local, parser-agnostic tool that grades how well a chosen document parser converted a source file into AI-friendly Markdown, returning a per-document readiness score, block-level provenance tags, named warnings, and an optional source-grounded ACCEPT/REJECT verdict.

by2kb converts video URLs from platforms like Bilibili and YouTube into durable Markdown knowledge base artifacts, including transcripts, abstracts, and study notes, supporting agent-first workflows and local/cloud ASR.

RightMemory provides durable memory, a user-directed Pursuit map, and reusable Agent Corrections for AI coding agents. It stores context as Git-syncable Markdown trees organized in a graph with typed edges, enabling multi-device continuity and multi-agent collaboration while keeping memory ownership explicit and vendor-neutral.

Context is an MCP gateway that gives every AI client — ChatGPT, Claude, Codex, Notion AI — one endpoint to a personal knowledge base kept as plain Markdown in a Dropbox folder or S3-compatible bucket you own, with privacy tiers, workspaces and a session-end capture hook.