Build reliable background jobs, workflows, and AI agents without extra infrastructure. Automatic retries, flow control, and step-level observability.
Inngest - Durable Execution for Workflows & AI
Build reliable background jobs, workflows, and AI agents without extra infrastructure. Automatic retries, flow control, and step-level observability.
Vercel Workflow
Build durable, reliable, and observable applications and AI agents with the Workflow Development Kit (WDK).
Durable Execution Solutions
Build invincible apps with Temporal's open source durable execution platform. Eliminate complexity and ship features faster. Talk to an expert today!
Rethinking cloud operations with agentic observability - The Official Microsoft Blog
Cloud operations are entering a new era as AI-driven and autonomous agents become a larger part of modern software systems. As software becomes increasingly agentic, the challenge is no longer just managing greater scale and complexity. Operators must also contend with systems that evolve faster, act more autonomously and interact across an expanding network of...
crockpotveggies/execlaw
Self-hosted AI agent with persistent memory, plugins, tools, and skills written in Rust
Workflow SDK - Make any TypeScript Function Durable
"use workflow" brings durability, reliability, and observability to async JavaScript. Build apps and AI Agents that can suspend, resume, and maintain state with ease.
Hermes Agent — Open-Source AI Agent with Memory, Skills, and Cron
The open-source AI agent from Nous Research with persistent memory, reusable skills, tools, cron jobs, GitHub workflows, and multi-platform messaging.
agentOS - Everything Agents Need to Run and Operate - Rivet
The complete platform for production AI agents. Stateful runtime, universal agent interface, and secure code execution. One SDK, one platform, deploy anywhere.
Windmill | Build, deploy and monitor internal software at scale
Open-source workflow engine to build workflows, data pipelines and internal tools at scale. Self-hostable, for developers and AI, with enterprise security.
PrimeIntellect-ai/prime-agent
A self-improving RLM agent for coding workflows and long-running autonomous tasks.
Container Use for Locally Sandboxed, Background Agents in Zed
From the Zed Blog: Run AI agents in parallel without interference using containerized environments and Git Worktrees.
Optimizing Agentic Workflows using Meta-tools
Agentic AI enables LLM to dynamically reason, plan, and interact with tools to solve complex tasks. However, agentic workflows often require many iterative reasoning steps and tool invocations,...
shepherd-agents/shepherd
A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents
Coasts — Containerized Hosts for AI Agents
Free, open source parallel runtimes for AI agents. Run multiple isolated environments on your machine — no cloud, no conflicts.
'AI' Sucks the Joy Out of Programming
I’ve used spicy auto-complete, as well as agents running in my IDE, in my CLI, or on GitHub’s server-side. I’ve been experimenting enough with LLM/AI-driven programming to have an opinion on it. And it kind of sucks.
