The organizational memory layer for engineering teams. Captured automatically. Available to any AI, in any context.
The problem
Your team spends years developing patterns, resolving recurring errors, and making architectural decisions. None of that knowledge reaches any AI agent automatically.
Claude Code uses CLAUDE.md. Cursor uses .cursorrules. Codex uses AGENTS.md. Every tool switch means rewriting context from scratch.
Agents re-explore decisions already made in every new session. At scale, that's a cost that compounds with every interaction.
No system captures how your specific team operates: patterns, recurring mistakes, reusable components. In a way that's model-agnostic, auto-updating, and tool-independent.
What is Nura
Nura captures how your company operates in code, and makes that knowledge available to every AI tool your team uses. Without training, without configuration, without lock-in.
Auto-captures everything
Every PR merged, code review comment, commit message, and agent trace feeds the graph automatically.
No training, no fine-tuning
Not a model. Not RAG. A knowledge graph that grows with each real event from your team. No epochs, no GPU.
One connection, every tool
Connect via MCP once. Claude Code, Cursor, Codex. Every tool your team uses receives context from the same graph.
Model-agnostic by design
Models improve constantly. Your organizational graph stays relevant because no model knows how your specific team works.
How it learns
PR merged
Detects the pattern. Reinforces it in the graph for the relevant module.
Code review rejects
Learns that approach doesn't apply in this codebase. Context grows more specific.
Agent tool call fails
Records that path as problematic for this organization. Prevents repeat.
Component gets reused
Increases relevance of that node. Future agents discover it before building from scratch.
Who uses it
You switch between Claude Code, Cursor, and Codex constantly. Nura makes your working context follow you. No rewriting, no reconfiguring.
Your team builds patterns and learns from mistakes. Today that knowledge lives in people's heads. Nura captures it and makes it available to every AI the team uses.
Production agents spend tokens re-exploring decisions already made. Nura eliminates that redundancy. The savings compound with usage.
vs. alternatives
| Augment Code | Hyperspell | Traditional RAG | Nura | |
|---|---|---|---|---|
| What it learns | Static codebase | Personal user data | Documents | Org behavior (live) |
| Tool-agnostic | ✕ | ✓ | n/a | ✓ |
| Learns over time | Partial | Personal only | ✕ | ✓ |
| No fine-tuning | ✕ | ✓ | ✓ | ✓ |
| Works in production | ✕ | ✕ | n/a | Sprint 2 |
Products
The organizational knowledge layer. Captures how your team operates in code and makes it available to any AI via MCP.
Learn more →AI agent orchestrator with Nura built in. Run multiple agents in parallel, each in its own Git worktree, with full organizational context from day one.
See Orkest →FAQ
Get started
Connect your GitHub organization. Works in minutes. No training required.