Lets IT and security teams see, approve and monitor every internal AI agent employees build, instead of agents spreading unchecked across the company.
#orchestration
14 tools curated in this category — including Decawork, Termix, HFlow
techFind on mySelectas all sites and tools related to orchestration. This selection of 14 resources is reviewed and maintained by the community. The most popular include Decawork, Termix, HFlow. Each tool comes with a review, tags, comparisons and alternatives to help you make the best choice.
Free, self-hosted platform for SSH terminals, remote desktop, file management, and Docker orchestration across your servers.
An open-source SDK for building robotics data pipelines, managing the collection-to-delivery lifecycle of multimodal sensor data with quality checks and full provenance tracking, backed by Y Combinator.
A no-code workflow builder that lets IT and security teams automate repetitive tasks — like triaging alerts or provisioning accounts — by connecting tools together with drag-and-drop "stories," no developer required.
A tool that lets you draw a business process as boxes and arrows — 'when this happens, do that, then wait, then retry if it fails' — and turns it into something that actually runs reliably, without you managing any servers.
A Python-native orchestration platform for running data pipelines, dbt workflows, and AI agents on either serverless or self-hosted infrastructure.
A project-management-style board where AI coding agents show up in the same assignee list as human developers — you hand them tickets, watch them work in real time, and reuse the skills they build up over time, instead of manually babysitting each agent i
Lets a whole company build and run AI agents while giving the security team a way to see and control exactly what those agents are allowed to do — like adding guardrails and a paper trail to AI automation.
An open-source platform for writing long-running background jobs and AI-agent workflows in TypeScript or Python, with automatic retries, queuing and scaling — and no timeouts, so tasks can run as long as they need.
A platform for running reliable background jobs, scheduled tasks and multi-step workflows — it automatically retries failures and remembers where each job left off, so long-running processes don't silently break.
A control panel for getting AI models and agents from a developer's laptop into real production use — deployment, scaling, and governance — built to run on whichever cloud a company already uses instead of locking them into one.
Open-source tool that automatically finds and runs your AI training jobs on whichever cloud or cluster has the cheapest available GPUs.
Edge orchestration platform that remotely manages, secures and updates AI inference and applications across thousands of distributed edge devices.
Deployment orchestration that picks up where CI stops: promotes releases across environments, multi-tenant, with runbooks.