I got tired of spending days wrestling with fragile multi-agent setups only to get generic, uncoordinated agents that didn't feel like a real team. So I built DjinnBot — a containerized, opinionated platform that spins up a complete autonomous AI software team in under 5 minutes:

Product Owner (Eric — pushes back on vague specs) Solutions Architect (Finn) Senior SWE, UX, Test Engineer, SRE + on-demand specialists They spec, design, code, review PRs, test, and deploy — fully collaboratively

What makes it different:

One curl command + wizard (Docker, secrets, optional SSL — everything handled) Each agent runs in its own isolated container with full toolchains (Node, Python, Go, Rust, git, etc.) Persistent semantic memory (ClawVault) so the team actually improves over time Strong personas — agents debate, critique, and reject bad ideas Beautiful real-time dashboard with Kanban board, live streaming output, and pipeline view Every agent is a native Slack bot (threaded discussions) YAML pipelines for custom workflows + MCP proxy for external tools (GitHub, web search, etc.)

Completely free and open-core to self-host (FSL-1.1-ALv2 license → Apache 2.0 after 2 years). No Kubernetes, no cloud accounts required. I'm dogfooding it hard — the AI team is currently helping me build and improve DjinnBot itself. Would love honest feedback, especially if you've tried other agent frameworks (OpenClaw, etc.). What works? What feels off? Any projects you'd throw at it? Docs & 1-click install: https://docs.djinn.bot GitHub: https://github.com/BaseDatum/DjinnBot Cloud waitlist: https://app.djinn.bot Thanks!