
Rapibase — The backend for building with AI agents
Open source backend with Postgres, auth, storage, realtime and functions. Built-in MCP and skills: your AI agent (Claude Code, OpenCode, Codex) builds and deploys the whole app. 7-
@Joellucena13 · X
The full gallery
Tech stack
8 projects

Open source backend with Postgres, auth, storage, realtime and functions. Built-in MCP and skills: your AI agent (Claude Code, OpenCode, Codex) builds and deploys the whole app. 7-
@Joellucena13 · X

Self-hosted dashboard to stream Claude Code, Cursor Agent, and other CLI agents with local-first/P2P terminals and scheduled loops.
@FKesheh84 · X
mixes remote agents control (meta harness) software factory and recursive agents improvement. That builded 5 SaaS this year and going faster every day

Share files and logs with AI agents like Claude Code and Cursor in an encrypted workspace.
@Raullen · X
6 months ago, @qevan and I hit a stupid wall: just trying to share a local file or some logs with an AI agent was incredibly frustrating. So, we built the first version of —a dead-simple, secure way to pass context to AI. The community feedback was amazing. We got ~200 stars on GitHub, and it quickly became a daily driver for a lot of developers. But recently, we realized the game has changed. Our workflows evolved. It’s no longer just humans sending files to agents. Agents need to write back to humans. Agents need to hand off context to other agents. The whole team—human and AI—needs to collaborate. So, we gave vnsh a massive upgrade. Today, it’s no longer just a secure clipboard. It’s now a living workspace. 🚀 You drop your context in once and get a dynamic link. Claude Code, Cursor, Cline, and your human teammates all open the exact same document. When one agent updates it, your whole stack sees it instantly. Complete context handoff, without ever copy-pastin

Knowl is an MCP memory server for Claude Code, Cursor and Codex. What your agents work out survives the session, and a change retires what it replaced — so the answer they read bac
@dat999zx · X
I built Knowl so my AI agents stop forgetting what's true. One memory they all read and write, always current. Runs entirely local — Claude Code, Codex, Cursor. Or for team sync, and reach the same memory from Claude and ChatGPT on the web.

Build AI agents by answering questions and export them to Claude Code.
@manu_jsx · X
Built a coding agent for my repo in under a minute. No prompt engineering. No made-up skill names. Just answered 4 questions and exported to Claude Code.

Control Claude Code sessions with a MIDI controller interface in your browser.
dylanfisher · HN
Claude MIDI Twister – An agent visualizer for a DJ MIDI controller

Index and search Claude Code sessions with full-text search and turn-by-turn replay.
@gormovsisyan · X
Your AI agent forgets every session; Turnlog indexes them all so you (and the agent) can search years of work in seconds.

Track your Claude Code usage, cost, and see where you rank on the public leaderboard.
u/turing1337 · Reddit
I made a sleek Claude Code Usage Leaderboard I wanted to make a modern easy to sync web dashboard for my claude code usage. I use it everyday myself to track my usage and see in in dollars. It also has a public leaderboard so you can see how much other people spend and what Antrophic models they use. Safety and Privacy first, the npm package you run only reads numbers and never your prompts, chat messages. The code for the sync package is open sourced. please check it ou