kirodotdev/KiroCrew
A persistent workspace for development work that self-improves and continues beyond one session. observed · 2026-08-28
Health v2 · maintenance only
79/100
- Activity 99
- Release rhythm 98
- Longevity 3
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 6
- age_days: 48
- days_rel: 12
- days_push: 7
- n_releases_24m: 6
Adoption not part of the score
3278 stars · 386 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Kiro Crew is an open-source persistent development workspace where AI agent crews run multi-step tasks unattended, remember context across sessions, and self-improve through durable lessons and skills stored as Markdown. It runs locally or remotely on your hardware via desktop app, web dashboard, CLI, or integrations like Slack and Discord, with cron schedules, webhook triggers, and heartbeat monitors.
Use cases
- run ai agents on long-running dev tasks unattended
- persistent ai coding workspace that remembers context across sessions
- schedule recurring automated agent jobs
- monitor systems with agent heartbeats and get alerted
- turn repeated corrections into reusable agent skills
- self-host an ai agent workspace on my own hardware
- coordinate ai agents from slack or discord
When to choose
- you want agents that persist memory, lessons, and skills across sessions
- you need unattended, scheduled, or webhook-triggered agent work on your own hardware
- you want inspectable, editable agent knowledge as Markdown files
- you need security layers like sandboxing, credential redaction, and audit logs
When to avoid
- you only need a simple one-shot chatbot without persistence
- you require a fully managed cloud service rather than self-hosting
- you want a lightweight CLI agent without a workspace/app ecosystem
Facets
application · maturity active
agent-framework workflow-automation scheduling webhook chat-interface developer-tools rag mcp developer-tools large-language-models windows self-hosted python cli persistent-workspace agentic-coding self-improving-agents memory knowledge-graph cron-scheduling heartbeat-monitoring slack-integration discord-integration sandboxing ai-agents automation macos linux docker desktop
8 sources
- readme: https://github.com/kirodotdev/KiroCrew · fetched 2026-08-28 · 153701046c27
- homepage: https://kiro.dev/crew/ · fetched 2026-08-29 · 3e16651bf7a9
- site_page: https://kiro.dev/docs/steering · fetched 2026-08-29 · e278888aab62
- site_page: https://kiro.dev/about · fetched 2026-08-29 · d10e653cffd3
- site_page: https://kiro.dev/docs · fetched 2026-08-29 · 760f78394c30
- site_page: https://kiro.dev/pricing · fetched 2026-08-29 · ba875438dd20
- site_page: https://kiro.dev/changelog · fetched 2026-08-29 · 312747deacd4
- site_page: https://kiro.dev/faq · fetched 2026-08-29 · 0fdadf77272a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kirodotdev/KiroCrew | main | 79 |
For agents
markdown · JSON · MCP: product_card(name="kirodotdev/KiroCrew")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem