Hasharot is a new open-source bridge that lets you command a full Claude Code agent from Telegram on your own computer. The agent can read files, run commands, write code, browse the web, and speak answers back — all without leaving your machine. It supports multiple users with per-user sandboxing, voice I/O, and integrations with Reddit, Medium, and YouTube.
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Hasharot is a new open-source tool that bridges Telegram messaging to a Claude Code agent running locally on your computer, enabling you to send commands via Telegram and have Claude read files, run bash commands, write code, browse the web, and speak responses back — all without code or secrets leaving your machine.
Why it matters
For developers and teams, this means offloading coding tasks to an AI agent while keeping full control: you work from your phone, the agent runs on your own hardware, and multiple team members can access it with per-user sandboxing and approval controls. Voice transcription and text-to-speech make it accessible without typing.
What to watch
The tool includes integrations with Reddit, Medium, YouTube, and project management tools, plus a multi-user access-control layer with owner approvals for destructive commands — useful for teams sharing a single agent instance across parallel projects.
Hasharot packages the Claude Code agent—a tool with direct access to bash, file I/O, and web browsing—behind a Telegram interface, removing the gap between mobile control and local execution. The key claim is that this is "not a simple API wrapper" but the real agent with full tool access, streamed back to your phone with session memory across messages. For teams, the multi-user layer with owner approvals and per-user folder sandboxing addresses the practical friction of sharing a single powerful agent: destructive-command detection and configurable approval gates let an owner delegate safely.
The voice and media integrations (Groq Whisper transcription, OpenAI TTS for responses, yt-dlp and ffmpeg for video extraction) position Hasharot as an interface to avoid terminal friction—speak a request, hear the answer—while keeping the computational load on your own machine. Paperclip agent integration suggests a forward-looking design for autonomous delegation: you hand off a task, get a push notification when it finishes, and can reply inline to ask follow-up questions. The body emphasizes that code and secrets never leave your computer; you simply drive the agent from Telegram. This trades cloud convenience for privacy and control, which may appeal to security-conscious teams or those with proprietary codebases.
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