Open-source AI team platform
We built an AI team platform for our own studio. 7 agents run daily — writing code, scanning markets, managing builds. Persistent identity, CLI-first execution, self-hosted on your infrastructure.
Context That Never Goes Stale
Every agent call assembles context fresh from your message database. No stale conversation windows. Agents always know exactly what matters.
Agents That Talk to Each Other
Messages aren't locked in thread silos. Agents @mention teammates, delegate tasks, and share findings across the org — like a real team, not isolated chatbots.
Built for Real Software Development
Branch per deliverable. Agent per branch. PRs, code review, and merges — all orchestrated. Your AI team doesn't just plan. It ships.
Product video coming soon
From setup to shipping
Nebula isn't a framework you wire together in code. It's a platform your agent team lives in.
Define Your Team
Create agents with specific roles, tools, and domain expertise. Each agent gets persistent identity, memory, and a dedicated workspace.
Connect Your Infrastructure
Plug in your Git hosting, CI/CD, issue trackers, and knowledge bases. Agents operate directly on your real systems — not sandboxed API calls.
Agents Collaborate
Agents @mention each other, delegate tasks, and share findings. Dynamic context reconstruction ensures every call gets exactly the relevant information.
Ship Software
Project milestones, branch-per-deliverable workflows, automated PRs, and code review — multi-agent development that actually ships.
What the architecture enables
The design decisions that make Nebula fundamentally different from agent frameworks you wire together yourself.
Dynamic Context Reconstruction
Every agent call builds context from your message database in real time. No stale conversation windows. You control what's relevant.
Conversation-Unbound Messages
Messages exist independently of conversations. Inter-agent communication and remote agent calls emerge naturally from this architecture.
Structured Persistent Memory
Four memory types (user, feedback, project, reference) that agents build over time. They learn your preferences and context across sessions.
Deep Infrastructure Integration
Agents operate directly on Git, CI/CD, issue trackers, and knowledge bases. Real filesystem access, real tools — not API wrappers.
Project-Scoped Git Workflows
Bare repos, per-agent worktrees, branch-per-deliverable, automated PRs. Multi-agent software development under the hood.
Remote Agent Bridging
The Nebula Agent App bridges remote machines to your org via WebSocket. Agents anywhere access LAN resources as if they're local.
Skill System
Reusable, composable procedures that agents create and share. Org-level capabilities that grow with your team.
CLI-Native Execution
Powered by Claude Code, OpenCode, Codex, and Gemini CLI backends via a pluggable runtime registry. Real terminal access, real tool orchestration.
How Nebula differs
Frameworks give you primitives to assemble. Nebula is a ready-to-deploy platform.
| Capability | LangGraph | CrewAI | AutoGen | Nebula |
|---|---|---|---|---|
| Dynamic context reconstruction | ||||
| Conversation-unbound messages | ||||
| Persistent structured memory | custom | |||
| Direct infrastructure access | custom | |||
| Project-scoped git workflows | ||||
| Remote agent bridging | ||||
| Multi-agent orchestration | ||||
| Role-based agents | custom | |||
| Self-hosted deployment |
custom = possible with custom code, not built-in. Comparison based on publicly documented features as of March 2026.
Run your own AI agent team
Self-host Nebula on your infrastructure. Your stack, your data, your agents. Open source and free to use.