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AI Agent2026
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Kiro Crew

Keeps AI development agents working across sessions, with persistent memory, task checkpoints, and scheduled jobs. Runs on your own hardware and is accessible through desktop, web, CLI, and messaging channels.

Introduction

Closing a chat window usually ends an agent’s work; the harder problem is carrying useful context and unfinished tasks into the next session. This project treats the agent as a persistent service: its sessions, memory, schedules, and checkpoints stay on a Gateway that can keep operating between conversations.

What Sets It Apart
  • Continuity is built into the runtime. Sessions can resume after Gateway restarts, while durable lessons carry corrections and project context forward. This makes it better suited to ongoing work than a sequence of disposable prompts.
  • Tasks can run unattended. The task runner plans steps, validates outcomes, retries failures, and resumes from checkpoints; scheduled jobs and monitoring can also run without an interactive session.
  • One runtime serves multiple interfaces. Desktop, web, CLI, and connected messaging channels reach the same Gateway state. Subagents can handle parallel work, and reusable skills can emerge from repeated patterns.
  • Control is part of the design. Approvals, sandboxing where available, credential guards, denied-operation rules, and audit events help constrain an agent that can act over time.
Who It’s For

A good fit for developers who want agents to handle recurring or multi-step engineering work on a machine they control, and who are comfortable configuring an agent backend and reviewing autonomous actions. Look elsewhere if you only need a lightweight, one-off coding chat, want a fully managed hosted service, or cannot provide the required CLI/backend sign-in; persistence and autonomy add operational and security responsibilities.

Information

  • Websitegithub.com
  • OrganizationsKiro, Amazon
  • Published date2026/07/16

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