Example Projects

Independently developed, open-source protocol clients that increase decentralization, resilience, and security.

Simplified (compared to XDM) relay service or middleware to improve UX and reduce latency between domains and the consensus layer.

A public, reliable faucet service for developers interacting with testnets and dev environments.

CLI and Docker setups to simulate Auto EVM, Auto Drive, and cross-domain behavior locally that lower barriers to development.

Interfaces for building dApps on Autonomys with little to no code, lowering the barrier for non-technical builders.

A security solution similar to Lit Protocol, leveraging Auto EVM for Access Control List (ACL) management and Auto Drive for metadata storage.

Infrastructure that enables high-throughput AI inference or model training in a decentralized fashion.

Features that remove adoption friction such as auto-upgrade and port-forwarding alternatives.

A specialized DAO implementation using Auto Drive for proposal storage with decentralized encryption, allowing only token holders to access and decrypt proposal documentation.

A fully independent implementation of Auto Drive, enabling differentiated performance, feature sets, or user interfaces while remaining compatible with the Autonomys DSN.

Expansion of agent frameworks for social, governance, and DeFi automation using the Auto SDK.

Co-pilots or autonomous agents that assist with DAO proposal creation, voting simulation, or sentiment analysis.

Use of AI models to verifiably moderate content hosted on Auto Drive, especially for public and community platforms.

A platform that subscribes to DSN files, displays unencrypted file previews, enables AI and community-driven content labeling with up/down voting, and includes content moderation features.

Academic studies into alternatives or optimizations for Proof-of-Archival-Storage.

Explorations into how autonomous systems should be governed on-chain.

Cryptographic protocols (e.g. ZK, MPC) that protect data used in training or inference.

Research into syncing large datasets across operators while preserving verifiability.

Novel techniques that separate model weights, inference requests, and outputs across the Autonomys stack.

R&D on novel consensus strategies that improve sustainability and performance of archival validation.

Curricula and training sessions to onboard developers to Auto EVM, Auto Drive, the Autonomys Agents Framework, and other Autonomys products and infrastructure.

Grants for projects that bring external communities into the Autonomys ecosystem.

Sponsored prize tracks, starter templates, and judging criteria for Autonomys-themed hackathons.

Grants for building guides, walkthroughs, or extending inclusivity through multilingual documentation.

Tools that empower community leaders to support education, onboarding, and community moderation.

Secure messaging and asset transfer bridges connecting Autonomys to other L1s or rollups. Prioritized examples include a bridge to Solana or Base, positioning Autonomys where real user activity and liquidity are thriving.

Grants for integrating leading dApps such as Aave, Compound, or Curve with Auto EVM to bring proven DeFi use cases onto the Autonomys stack.

Interfaces or bots that synchronize governance actions across multiple domains and chains.

Solutions for verifiable identity or reputation scoring across web3 and beyond.

Add-ons for popular frameworks (e.g. LangChain, Hugging Face, Next.js) to simplify adoption.

Extension of the existing agents repository to support additional ecosystems, social platforms and implement flexible smart contract interaction capabilities.