Enterprise intelligence for your projects
Turn context into continuity.
Every engineer and AI agent learns something about your software while working on it. Nebulai stores what they learn so the next person can look it up.
Nebulai is designed from the ground up to reduce LLM token usage between agents and help you save costs long term.
Find out more- CodeGitHub / GitLab
- PRsPull requests
- TicketsJira / Linear
- DocsConfluence / Notion
- ChatTeam conversations
NEBULAIUnify. Understand.
Accelerate.
- MCP ServerTools for AI agents
- Project briefingInsights for your team
Good morning, Alex.
Sprint 147 · 6 membersOrion is migrating authentication from Auth0 to Entra ID while the portal team prepares organisation onboarding. Three auth PRs merged this week. Portal deployment is blocked pending production Key Vault permissions.
Project intelligence that accumulates
One layer under the tools you already run. The more the project grows, the more there is to retrieve, and the less your agents spend rebuilding context from scratch.
What you get on day one
Tour the productProject briefing
Open a project and read what is true today: active work, blockers, recent decisions.
Discoveries
Capture what was learned mid-task: hidden behaviour, debt, constraints, surprises.
Decision record
Why the team chose this, when, and what it rules out, kept next to the code.
Context timeline
Tickets, conversations, PRs and outside dependencies as one connected story.
MCP retrieval
Agents fetch the slice they need instead of rebuilding it.
Project memory
Understanding that would normally evaporate at the end of a session is kept.
Stop paying your agents to relearn the same project
Your project is bigger than a context window. Nebulai makes the relevant parts addressable, so Claude Code, Codex, Cursor and whatever you use next can fetch what they need at the start of a session.
ENG-218 introduced exponential retries after customers reported dropped Stripe webhooks. PR #641 added the current worker. A confirmed Discovery from ENG-402 shows there is no maximum retry count. No ticket exists for it yet.
Runs in your own infrastructure
Deploy Nebulai inside your own environment. Source, embeddings and project intelligence stay behind your network boundary. There is no vendor cloud holding your code.
Self-hosted by design
Deploy in your environment. Ingestion and retrieval need no vendor service.
Least-privilege connections
Scope repository and integration access to what each project needs.
Project-level control
Access follows the project: who is on it, and what they can retrieve.
Inspectable connections
Know what is connected, who can reach it, and how to disconnect it.
Works with the tools you already run
GitHub keeps the code. Linear and Jira keep the planned work. Your agents keep writing it. Nebulai connects the knowledge those systems throw off and holds onto it.