RAPR AI
One desktop app for every AI you already have.
RAPR AI launched on May 26, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
RAPR AI is a local desktop app that brings every AI you own into one place. Run Claude, Gemini, Ollama, Codex, and more — simultaneously, in parallel sessions. Build visual agent workflows, chain models across pipeline steps, run AI Council debates, schedule tasks in plain English, and control everything from Telegram. Shared memory keeps context intact across model switches. 100% local execution. No extra API costs. Free during beta.
Build local AI agent workflows across Claude, Gemini, Codex, and Ollama from one visual desktop workspace without extra API markup.
Chat with Claude, Gemini, Codex, Cursor, Ollama, and hundreds more models through OpenRouter and local servers, hand them desktop control, chain them into workflows, schedule runs, export an editable memory vault, and connect Zapier or Composio MCP for app actions. RAPR automatically detects installed tools like Claude, Gemini, Codex, Ollama, and other CLIs. No platform markup, no forced model choice. Chat, run parallel sessions, share memory across models, browse files, and give trusted AIs desktop control when a task needs action. Turn useful work into reusable pipelines, scheduled tasks, Telegram triggers, MCP actions, voice-out replies, or agent workflows that run locally on your…from raprai.com
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1CodeJan 2026 · github.com · ▲569Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…
Parallel CodeMar 2026 · parallelcode.app · ▲159I kept running into a structural problem with AI coding tools. You try one agent. It makes changes. You try another. Now you're manually diffing branches and cleaning up experimental commits. The tools are powerful, but the workflow isn’t designed for comparison. So I built Parallel Code. It runs Claude Code, Codex, and Gemini CLI natively (no API wrapper, no feature abstraction), but isolates each agent in: its own terminal its own Git worktree its own feature branch The workflow becomes: Spawn N worktrees Assign one AI agent per worktree Let them implement independently Compare diffs Merge…
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Dev tools · May 2026 · kilo.ai
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com