Open source
A sample of the networks, protocols, and platforms we work alongside.
Open, decentralized agentic network infrastructure for interoperable AI agents and multi-agent collaboration across ecosystems.
Toolkit for building AI agents that interact with onchain dApps and blockchain-based financial systems, integrated with py-IPFS-lite, py-unixfs, and py-libp2p.
Healthcare infrastructure platform focused on patient records, clinical workflows and AI-enabled medical coordination at population scale.
Decentralized AI platform for autonomous agent economies, connecting machine learning, blockchain, and real-world systems.
Decentralized storage network built on IPFS, providing a verifiable marketplace for persistent data storage with cryptographic proofs.
Programmable blockchain and settlement layer for decentralized applications, smart contracts, and peer-to-peer coordination at global scale.
Distributed file system and content-addressed protocol that powers resilient data sharing across peer-to-peer networks.
Modular data availability network that scales blockchain throughput by separating execution from consensus.
Layer-2 scaling solution for Ethereum using optimistic rollups to deliver fast, low-cost transactions while inheriting base-layer security.
The git layer for the AI-native internet. DIDs over accounts. Every commit signed — agent or human.
Agent infrastructure platform where agents work. Local-first search, P2P mesh, sandboxing, and on-device agent compute.
Infrastructure for autonomous worlds and onchain game systems, enabling persistent programmable environments and machine coordination.
Free, open-source OpenAI alternative. Run LLMs, autonomous agents, and document intelligence locally on your own hardware.
Open platform for building, deploying, and running autonomous AI agents with composable tools and transparent ownership.
Decentralized messaging and social infrastructure built for Web3, enabling agent-to-agent and human-to-agent communication.
Rust-based AI agent operating system and protocol for local-first, privacy-preserving agent execution and coordination.
AI security and governance layer that monitors, evaluates and protects agentic systems from misuse, drift and adversarial behavior.
Platform for designing, deploying and orchestrating autonomous agent workflows across enterprise tools and data sources.
Programmable identity and trust infrastructure for coordinating humans, agents, and systems in digital environments.
We work alongside these projects every day. Talk to us about taking your deployment from prototype to production.