A local desktop command center for every AI you use
Run every AI
from one local app.
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.
Free during early access — get it before pricing kicks in.
local-ai-workspacerunning
Models
Claude
Gemini
Codex
Ollama
ChatClaude
›Refactor the auth module and open a PR.
Reading auth/session.ts …
3 call sites updated, tests green.
PR #128 opened
local · no cloud
Three steps. That's it.
First AI workspace running in under ten minutes.
1
Install RAPR AI
RAPR automatically detects installed tools like Claude, Gemini, Codex, Ollama, and other CLIs. No platform markup, no forced model choice.
2
Work in one place
Chat, run parallel sessions, share memory across models, browse files, and give trusted AIs desktop control when a task needs action.
3
Automate the repeat work
Turn useful work into reusable pipelines, scheduled tasks, Telegram triggers, MCP actions, voice-out replies, or agent workflows that run locally on your machine.
What makes it different.
Not just an agent builder. RAPR is the local workspace where your models, desktop actions, memory, triggers, and automations live together.
Core
Multi-AI Workspace
Bring the AI tools you already use, from Claude and OpenClaw to OpenRouter and local Ollama models, then chat, run parallel sessions, and switch mid-task. Each session keeps its own project folder and context.
ClaudeGeminiCodexOpenClawCursorOllamaOpenRouterhundreds more
Computer Use
Let an AI see the screen, click, type, and run real desktop tasks, with a corner-of-screen failsafe to stop it instantly.
Local & No Markup
Orchestration, sessions, and keys stay on your machine. Bring your own accounts or local models, with no per-token surcharge.
Agent Workflows
When a task needs orchestration, chain steps into visual pipelines with manager nodes, retries, approvals, and reusable templates.
Universal MCP Connectors
Paste a Zapier or Composio MCP server URL once and RAPR AI can discover the app tools you enabled. Secret URLs stay in the encrypted vault, while every connected tool is routed through core MCP infrastructure.
Remote & Scheduled
Trigger and approve runs from Telegram, schedule recurring tasks, and get a ping when a deadline is close.
Shared Memory Vault
Start with Claude today, continue with Gemini tomorrow. Search, edit, pin, archive, and export memories as an Obsidian-style Markdown vault.
Voice-Out
Hear assistant replies aloud with offline text-to-speech by default, or ElevenLabs when you add a key.
Skills, Plugins & Marketplace
Install ready-made skills for Playwright, Docker, GitHub, cloud CLIs, databases, and more. Core connectors like Zapier MCP and Composio MCP cover the long tail without shipping thousands of separate app packages.
Cross-Platform Runtime & Signed Releases
Terminal sessions now branch cleanly between Windows and POSIX shells, and the release pipeline can sign both the executable and installer when a trusted certificate is configured.
AI Council
Pit multiple AIs against each other on any topic. A moderator AI drives the debate, judges each round, tracks scores, and declares a winner, or calls consensus when the key angles are covered.
Positioning, not a feature checklist
RAPR is not trying to be one more AI builder.
Use dedicated automation platforms, agent frameworks, or personal assistants when those are the right fit. RAPR is for people who already run multiple AIs on their own machine and want one local place to control sessions, memory, desktop actions, schedules, packages, and optional workflows.
Chat apps
ChatGPT, Claude, GeminiBest when: A single model conversation, quick answers, and hosted chat UX.
RAPR fits when: Run multiple AI CLIs side by side, keep per-project sessions, and carry shared memory across tools.
Automation platforms
n8n, Make, ZapierBest when: Broad SaaS app automation, business integrations, and team-operated workflows.
RAPR fits when: Work that starts on your desktop: local files, AI sessions, computer use, Telegram control, and MCP connectors when app actions are needed.
Agent frameworks
LangGraph, CrewAI, AutoGenBest when: Code-first teams that want to build and own an agent runtime in their application stack.
RAPR fits when: Operate AI work from a desktop command center without turning your whole product into an engineering framework.
Personal AI assistants
OpenHuman, OpenClaw-style assistantsBest when: A single always-on assistant that remembers context or acts through a chat interface.
RAPR fits when: Coordinate several independent AI sessions, debate with AI Council, run scheduled jobs, and keep control local.
Demos
See RAPR AI in action.
Unedited screen recordings: building workflows, driving the desktop with computer use, and running AI Council debates.
User Reviews
What people are saying.
Early feedback will collect here as users review RAPR AI.
You're already running AI.
Now make it work for you.
No AI wrapper markup. Bring the AI accounts you already use, connect broad MCP toolkits when you need app actions, or run local models when the workflow needs to stay offline.
Windows 10+ now · macOS/Linux runtime work underway · signed release pipeline ready · No account needed