Open source

The Context Layer
for Autonomous Engineering

Visual mastery for you. Structural truth for your AI. Finally, a shared reality for the entire engineering team—biological or synthetic.

Download for Windows View on GitHub

Format

project-memory.json

{
  "name": "Venore",
  "state": "in development",
  "goals": [ ... ],
  "conventions": [ ... ]
}

Engine

Languages parsed via AST

Rust

Local-first core, your own keys

Features

What's
inside

VISUALIZATION

Isometric Grid

Each feature as a tower showing maturity status

CONTEXT

Project Memory

Generated from your code you validate it

CONNECTIONS

Visual Links

Dependencies as animated lines

LAYERS

4 Levels

context · integration docs · tests

STATUS

Color-coded

stable · in-progress critical · deprecated

AI AGENT

Agentic

edits files, runs terminal searches and browses

Modes

Two modes, one canvas

mode: 01 for code

Codebase

Point the agent at a repo and it works with real tools, always with the project's full context: it reads and edits files, runs the terminal, searches the code and browses the web.

edit terminal search web

mode: 02 for knowledge

Knowledge

Organize ideas, research and decisions as islands on a canvas. Lighthouses anchor each topic, nodes branch into subtopics, and connections link them together.

islands lighthouses nodes connections

How it works