inngest

inngest / utah

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Universally Triggered Agent Harness - An OpenClaw-like Inngest-powered personal agent

agent-harness ai-agent durable-execution event-driven inngest
27
0
100% credibility
Found Mar 03, 2026 at 27 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Utah is an open-source AI agent that joins Slack and Telegram conversations, using smart thinking, memory, and tools to respond helpfully and persistently.

How It Works

1
🔍 Discover Utah

You stumble upon Utah on GitHub, a friendly AI companion ready to chat and help in your daily messaging apps.

2
🤖 Set up your chat bot

Create a simple bot in Slack or Telegram so it can join your conversations.

3
Pick your chat app
📱
Telegram

Perfect for personal chats or groups, quick and private.

💼
Slack

Great for teams and workspaces, organized and professional.

4
🔗 Connect the pieces

Link your chat bot to a smart AI brain and a safe workspace for notes and tasks.

5
🚀 Bring it to life

Turn on your assistant and watch it start listening in your chats, ready to think and respond.

6
🗣️ Start chatting

Message your bot like a friend – it remembers past talks, fetches info, or handles simple tasks.

🎉 Smart helper online

Your reliable AI sidekick is now part of your chats, making conversations smarter and more helpful every day.

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Star Growth

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AI-Generated Review

What is utah?

Utah is an Inngest-powered TypeScript harness for running a personal AI agent that responds to messages on Slack or Telegram. Drop it into your workspace, configure bot tokens, and it handles incoming chats with durable LLM loops—processing queries via tools like file read/edit, bash execution, web fetches, and memory notes—then replies in-thread. Named with a nod to University of Utah GitHub projects and utahraptor sharpness, it solves the hassle of self-hosting glitchy agents by leveraging Inngest for retries, observability, and serverless scaling.

Why is it gaining traction?

Its openclaw-like design stands out with universal triggers across channels, automatic webhook setup, and sub-agent delegation for complex tasks without context bloat. Developers dig the built-in memory distillation, conversation compaction, and pi-ai LLM integration that keeps responses focused and costs low—no more manual infra for utah usa-style personal automation. At 27 stars, early buzz comes from Inngest fans tired of Lambda boilerplate.

Who should use this?

Indie devs building chat-based coding assistants, like querying workspace files via Slack during Utah Jazz games or debugging via Telegram. Ops folks wanting a triggered agent for bash scripts and web lookups without Vercel deploys. TypeScript teams at utah valley university labs experimenting with openclaw-like setups.

Verdict

Solid starter for Inngest users—plug in your LLM key and chat away—but 1.0% credibility and low stars signal early maturity; expect tweaks for production. Worth forking if you need a personal, universally triggered TypeScript agent now.

(198 words)

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