OpenKnowledge

Hello world 👋. We set out to be a project driven by open standards, open source, and extensibility. Check out the app and repo and let us know your ideas.

You can now use any web app alongside Claude Code. Here I use @openknowledge to draft my weekly blog post. It's one thing to bring an AI agent to your app. It's another thing to bring your app to your AI agent.

@SelamShivam @nickgomez (Additional ones)

@nickgomez @openknowledge please support antigravity and hermes agent

Introducing @OpenKnowledge, the best markdown IDE for humans and agents. Open source. Local and private. LLM-wiki ready. Use with Claude, Codex, and your favorite agent today.

@SelamShivam @nickgomez On it. MCP can be used with any but we’ll add embedded terminal options soon.

Hello world 👋. We set out to be a project driven by open standards, open source, and extensibility. Check out the app and repo and let us know your ideas.

@AlternativeTo ❤️

A beautiful open-source, Notion-like Markdown editor for AI agents with integrations with Claude, Codex, and Cursor. For knowledge bases, LLM wikis, specs, and notes. Private, local, and free

This is the best AI agent-first notes app I've found. It's called @openknowledge. It has the potential to be a productized version of Karpathy's "LLM Wiki" knowledge bases. Here's what I did: 1. Imported "Learning, Fast and Slow" a Continual Learning paper 2. Asked OpenKnowledge to create a visual explainer 3. Read the explainer and had Claude explain to me 4. Created a new section of my own understanding 5. Saved the durable version in my Obsidian vault because it's markdown Free and open-source. Absolutely incredible learning tool.

@green_alien_cat @daniel_mac8 Our built in MCP tools and skills guide agents in maintaining the knowledge graph, and lint the files as agents write to give them feedback on any issues (like broken links). Let us know if lines up with your thoughts!

@daniel_mac8 @openknowledge The real test is not importing a paper. It is whether OpenKnowledge can preserve citations, surface conflicting claims, and update the wiki as new papers land. That is where an LLM Wiki becomes research infrastructure instead of a nicer notes app.