Autonomys x Gaia: Where AI Inference Meets On-Chain Permanence

Autonomys is pleased to announce our integration with Gaia — an open-source, decentralized AI network that provides the infrastructure, compute, and inference tooling needed to create, deploy, and monetize autonomous AI agents. Developers running Gaia nodes can now store full conversation histories on-chain through Auto Drive, while agents built with the Autonomys Auto Agents Framework can call Gaia’s LLM for inference — enabling autonomous applications that both reason with decentralized intelligence and retain verifiable memory.

Key Aspects of the Partnership

• Auto Drive for Gaia Conversations
  Through the Gaia–Autonomys starter kit, users interacting with Gaia nodes can store entire chat conversations permanently on Autonomys’ distributed storage network (DSN) using Auto Drive. This allows developers and users to preserve complete agent interactions with cryptographic verifiability and tamper resistance — accessible at any time through Autonomys’ gateways.
  Example outputs from this flow can already be seen here.
  Github Repo: https://github.com/harishkotra/gaia-autonomys-starter-kit
• Gaia LLM in the Auto Agents Framework
  Autonomys has plugged Gaia’s LLM into the Auto Agents Framework, giving developers the ability to design agents that directly leverage Gaia inference while also benefiting from Autonomys’ permanent memory and modular execution environment. Agents can both invoke Gaia models for reasoning and store their working memory, outputs, and contextual histories on-chain through Auto Drive.
  Gaia support has been added to the Auto Agents Framework and can be found at:
  https://github.com/autonomys/autonomys-agents/blob/a074d7d32290444b467bee5020d5635b64a82f8f/core/src/services/llm/factory.ts#L66-L77

Benefits for Developers and Agents

• Persistence: Conversations and outputs are stored permanently with Autonomys’ Proof-of-Archival-Storage consensus, ensuring verifiable and tamper-proof memory.
• Interoperability: Gaia inference is natively available to Autonomys agents, eliminating the need for developers to build custom bridges.
• Scalability: Auto Drive’s high-throughput architecture supports large datasets and full conversation logs, while Gaia provides distributed AI compute.
• Composability: Agents can now combine Gaia’s reasoning layer with Autonomys’ verifiable storage to build richer, more autonomous workflows.

Community Impact

This integration connects Gaia’s decentralized AI inference with Autonomys’ permanent, verifiable storage, allowing developers to build agents that both reason with decentralized intelligence and preserve tamper-proof interaction histories. It marks a practical step toward AI3.0 — where autonomous agents operate with transparent, scalable infrastructure that ensures their memory and actions remain provable.

“Gaia and Autonomys are proving what decentralized AI can deliver: inference you can trust and storage you can verify — a step toward AI sovereignty that’s private, scalable, and fair.” Matt Wright, CEO of Gaia

“By combining Gaia’s inference with Autonomys’ verifiable storage, we’re closing the gap between how agents think and how they preserve what they know — laying essential groundwork for AI3.0.” Jim Counter, Head of Ecosystem at Autonomys

About Gaia

Gaia is an open-source, decentralized AI network that provides the infrastructure, compute, and inference tooling needed to create, deploy, and monetize autonomous AI agents.