PROTOTYPE LIVE

Mycelium

AI-orchestrated data sources.
Real-time. Autonomous. Agent-native.

Agentic Data

Today’s data sources are rigid, manually maintained, and lag behind the speed of agentic AI systems.

Mycelium changes that.

“Mycelium lets AIs discover, structure, update, and serve data in real time, without human-in-the-loop bottlenecks.”

How it Works

From domain to answers in three steps. The mycelial network grows with every question.

1
Domain label with roots growing into a network

Define your domain

Describe the data domain your Mycelium network should manage.

e.g. Cars

2
Person asking a question that flows into the network

Ask anything

Humans or agents query the network for data in your domain.

“List the car manufacturers with plants in North America”

3
Agent node spawning on the mycelial network

Agents grow the network

If no agent is responsible for manufacturer data, one is created automatically. It then finds the answer, structures it for the network, and returns it. Early answers take a few seconds; related questions after that are instantaneous.

The Mycelial Architecture

Autonomous ingestion — glowing mycelial roots spreading through a dark forest

Autonomous Ingestion

AI agents discover and ingest data from any source in real time.

Self-organizing network — interconnected bioluminescent circuit nodes

Self-Organizing Network

Mycelial connections enrich and link data without central coordination.

Agent-native access — cyan energy pulse through mycelial pathways

Agent-Native Access

Real-time, queryable interfaces for LLMs and autonomous agents.

Join the Growth

Open source. Built for the agentic future of data.

Star on GitHub →