$1.3M-Funded OpenAgents Pays Gamers and Everyday PCs in Bitcoin via Pylon Distributed AI Network
OpenAgents, an open-source artificial intelligence lab building Bitcoin-native infrastructure for machine learning, today announced its graduation from the BitcoinFi accelerator and the close of $1.3 million in pre-seed funding.
The company is using the capital to expand Pylon, its distributed compute node that lets people sell spare compute for Bitcoin, and to accelerate work on Psionic, its Rust-based machine learning framework for inference, fine-tuning, embeddings, image generation, and distributed training.
“America needs an open-source AI lab that can compete at the frontier without recreating the closed, centralized incentives of the biggest labs,” said Christopher David, founder and CEO of OpenAgents. “OpenAgents exists to build that lab in public. We are paying people directly for the compute, software, and data that make the system better.”
Building a Bitcoin-Native Compute Market
Pylon is OpenAgents’ compute miner. It runs on a contributor’s machine, connects to OpenAgents’ Nexus coordination layer, and makes selected local compute available to the network. Contributors are paid in Bitcoin through the hosted Nexus treasury for eligible work and launch-period payouts. This technology unlocks a path to earn bitcoin, not seen since the early days of Bitcoin mining, where come computers and GPUs were competitive enough in the hashrate race, and may introduce a whole new generation of gamers and AI fans to the cryptocurrency.
The launch builds on open protocols already familiar to the Bitcoin and Nostr communities. Pylon acts as a Nostr client and NIP-90-style service provider, while Nexus coordinates provider presence, work assignment, telemetry, payout accounting, and public stats. The company operates a hosted Nexus today, but the code is open source and designed so other operators can run their own Nexus networks over time.
OpenAgents describes the near-term market as the OpenAgents Compute Market. The first live product families are inference and embeddings, with training work now being introduced through a more explicit assignment, validation, checkpoint, and payout flow.
From Online Nodes to Real Work
During the public beta, the Pylon network quickly moved from early liveness checks toward real assigned work. OpenAgents has reported rapid growth in online Pylon activity, “more than one million satoshis paid through the hosted Nexus treasury, and more than one thousand Pylon instances appearing during the first wave of public participation” according to a press release shared with Bitcoin Magazine.
OpenAgents is preparing distributed training runs that will publish participation data, including online contributors, assigned contributors, accepted contributors, and model-progress contributors. The goal is to scale beyond prior decentralized-training demonstrations while keeping the public claims tied to verifiable assignment and acceptance records.
Training on Consumer Hardware
OpenAgents is focused on stranded consumer compute: Macs, gaming PCs, older machines, and other devices whose spare capacity is usually priced at zero. The company believes this pool represents a large untapped infrastructure layer for open AI. The training stack uses Psionic, OpenAgents’ Rust ML framework.
A Product Suite Above the Network
The compute network is part of a broader OpenAgents product stack and road map:
- Pylon: the compute miner that lets users sell eligible local compute for Bitcoin.
- Nexus: the coordination, treasury, stats, and work-assignment layer for Pylons.
- Psionic: the Rust machine learning framework that runs inference and training work.
- Probe: an open-source coding agent intended as a practical alternative to closed coding-agent tools.
- Autopilot: the planned desktop superapp for personal agents, compute earning, and user-facing OpenAgents workflows.
- Forge: the internal software-factory control plane for managing agent work, verification, and delivery.
OpenAgents plans to build user and business products on top of this compute network. The long-term intent is to create open alternatives to major closed sourced AI products, while routing revenue back to compute providers, developers, data contributors, and other participants who improve the system, paid in Bitcoin.
“The simple version is: pay the people,” David said. “If AI creates value from user compute, open-source software, useful data, and agent work, then the people providing those inputs should share in the upside. Bitcoin gives us the cleanest settlement layer for that.”
Open Development and Contributor Bounties
OpenAgents has developed in public through more than 200 technical updates and open-source work across its product and infrastructure stack. The company is now reopening Bitcoin-paid developer bounties for contributors who can help improve Psionic performance, expand model support, harden Pylon, build product workflows, benchmark against leading open-source systems, and improve developer experience.
The company is also hiring machine learning engineers to work full time on Psionic and the distributed training stack.
Contributors are encouraged to join through the OpenAgents Discord, review the open repositories, and coordinate before submitting larger pull requests. The company expects to keep an updated bounty list at:
This post first appeared on Bitcoin Magazine and is written by Juan Galt.
read the full story
OpenAgents, an open-source artificial intelligence lab building Bitcoin-native infrastructure for machine learning, today announced its graduation from the BitcoinFi accelerator and the close of $1.3 million in pre-seed funding.
The company is using the capital to expand Pylon, its distributed compute node that lets people sell spare compute for Bitcoin, and to accelerate work on Psionic, its Rust-based machine learning framework for inference, fine-tuning, embeddings, image generation, and distributed training.
“America needs an open-source AI lab that can compete at the frontier without recreating the closed, centralized incentives of the biggest labs,” said Christopher David, founder and CEO of OpenAgents. “OpenAgents exists to build that lab in public. We are paying people directly for the compute, software, and data that make the system better.”
Building a Bitcoin-Native Compute Market
Pylon is OpenAgents’ compute miner. It runs on a contributor’s machine, connects to OpenAgents’ Nexus coordination layer, and makes selected local compute available to the network. Contributors are paid in Bitcoin through the hosted Nexus treasury for eligible work and launch-period payouts. This technology unlocks a path to earn bitcoin, not seen since the early days of Bitcoin mining, where come computers and GPUs were competitive enough in the hashrate race, and may introduce a whole new generation of gamers and AI fans to the cryptocurrency.
The launch builds on open protocols already familiar to the Bitcoin and Nostr communities. Pylon acts as a Nostr client and NIP-90-style service provider, while Nexus coordinates provider presence, work assignment, telemetry, payout accounting, and public stats. The company operates a hosted Nexus today, but the code is open source and designed so other operators can run their own Nexus networks over time.
OpenAgents describes the near-term market as the OpenAgents Compute Market. The first live product families are inference and embeddings, with training work now being introduced through a more explicit assignment, validation, checkpoint, and payout flow.
From Online Nodes to Real Work
During the public beta, the Pylon network quickly moved from early liveness checks toward real assigned work. OpenAgents has reported rapid growth in online Pylon activity, “more than one million satoshis paid through the hosted Nexus treasury, and more than one thousand Pylon instances appearing during the first wave of public participation” according to a press release shared with Bitcoin Magazine.
OpenAgents is preparing distributed training runs that will publish participation data, including online contributors, assigned contributors, accepted contributors, and model-progress contributors. The goal is to scale beyond prior decentralized-training demonstrations while keeping the public claims tied to verifiable assignment and acceptance records.
Training on Consumer Hardware
OpenAgents is focused on stranded consumer compute: Macs, gaming PCs, older machines, and other devices whose spare capacity is usually priced at zero. The company believes this pool represents a large untapped infrastructure layer for open AI. The training stack uses Psionic, OpenAgents’ Rust ML framework.
A Product Suite Above the Network
The compute network is part of a broader OpenAgents product stack and road map:
- Pylon: the compute miner that lets users sell eligible local compute for Bitcoin.
- Nexus: the coordination, treasury, stats, and work-assignment layer for Pylons.
- Psionic: the Rust machine learning framework that runs inference and training work.
- Probe: an open-source coding agent intended as a practical alternative to closed coding-agent tools.
- Autopilot: the planned desktop superapp for personal agents, compute earning, and user-facing OpenAgents workflows.
- Forge: the internal software-factory control plane for managing agent work, verification, and delivery.
OpenAgents plans to build user and business products on top of this compute network. The long-term intent is to create open alternatives to major closed sourced AI products, while routing revenue back to compute providers, developers, data contributors, and other participants who improve the system, paid in Bitcoin.
“The simple version is: pay the people,” David said. “If AI creates value from user compute, open-source software, useful data, and agent work, then the people providing those inputs should share in the upside. Bitcoin gives us the cleanest settlement layer for that.”
Open Development and Contributor Bounties
OpenAgents has developed in public through more than 200 technical updates and open-source work across its product and infrastructure stack. The company is now reopening Bitcoin-paid developer bounties for contributors who can help improve Psionic performance, expand model support, harden Pylon, build product workflows, benchmark against leading open-source systems, and improve developer experience.
The company is also hiring machine learning engineers to work full time on Psionic and the distributed training stack.
Contributors are encouraged to join through the OpenAgents Discord, review the open repositories, and coordinate before submitting larger pull requests. The company expects to keep an updated bounty list at:
This post first appeared on Bitcoin Magazine and is written by Juan Galt.
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