zapvoz

zapvoz / agentic-workflow-ts

Public

Durable TypeScript workflow engine for long-running AI agents — SQLite/Postgres, checkpoints, retries, human-in-the-loop signals, REST API.

ai-agents durable-execution human-in-the-loop nodejs postgresql
10
0
100% credibility
Found Apr 17, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A TypeScript engine for building durable, resumable workflows for long-running AI agents with persistence, retries, human approvals, and a REST API.

How It Works

1
🔍 Discover the Tool

You hear about a helpful tool for creating reliable step-by-step processes for AI helpers that keep going even if something interrupts them.

2
🛠️ Set Up Your Workspace

You download the project and prepare a simple storage spot on your computer to save your work safely.

3
📝 Build Your First Process

You design a sequence of tasks, like searching for info, summarizing it, and waiting for your okay before finishing.

4
🚀 Launch Your Process

With one command, you start your process and watch it run smoothly, saving each step so nothing gets lost.

5
Does It Pause for You?
✅
Keeps Running

It finishes all steps automatically and delivers the results.

⏸️
Waits for Input

It stops at a key point and waits for you to provide feedback or continue.

6
👆 Give Your Input

You respond to the pause by sending your approval or extra info through a simple web page.

🎉 Enjoy the Results

Your process completes successfully, giving you the final output, ready to use anytime.

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AI-Generated Review

What is agentic-workflow-ts?

This TypeScript engine runs durable workflows for long-running AI agents, persisting each step to SQLite or Postgres so processes resume after restarts without rework. Developers define agentic pipelines with steps, conditions, retries, timeouts, child workflows, and human-in-the-loop signals via simple functions. It exposes a REST API for starting workflows, checking status, and sending signals, plus worker scripts that poll and recover stale runs.

Why is it gaining traction?

It delivers TypeScript durable execution like GitHub durable functions or Azure Functions Durable but lightweight—no cloud dependencies, just local DB and npm scripts for dev, API, or worker modes. Hooks include easy checkpoints for agentic flows, in-process cron scheduling, and a monitor via API endpoints, standing out against heavier durable task frameworks. TS-first design with full type safety makes prototyping durable objects or streams feel native.

Who should use this?

Backend TS devs orchestrating AI agents in research pipelines or approval flows with human-in-the-loop pauses. Teams needing durable task schedulers for batch jobs or sub-agent coordination without Temporal's complexity. Ideal for GitHub-hosted prototypes testing durable rules before scaling to Postgres in Docker.

Verdict

Promising for TypeScript durable workflows at 1.0% credibility and 10 stars—docs are clear with quickstart curls, tests cover durability and signals, but it's early; expect tweaks. Prototype agentic apps here before committing.

(178 words)

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