Agentfm Core
AgentFM is a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. AgentFM lets you run massive AI workloads directly across a global mesh of idle CPUs and GPUs.
Last verified:
What is Agentfm Core?
AgentFM Core is a peer-to-peer network that transforms everyday computers into a decentralized AI supercomputer by turning idle CPUs and GPUs worldwide into a distributed compute grid. Instead of paying centralized cloud providers like AWS or OpenAI, users can route AI workloads across a global mesh of volunteered GPU infrastructure. The system is distributed as a single Go binary requiring zero configuration, instantly connecting computers across the globe through innovative networking protocols that punch through NATs, firewalls, and corporate networks using libp2p with Kademlia DHT for routing and Circuit Relay v2.
Key features include zero-config P2P networking, hardware-aware routing with real-time telemetry via GossipSub, ephemeral containerized execution using Podman containers that self-destruct after each job, intelligent load balancing, live artifact streaming, and support for private encrypted swarms called
Agentfm Core pricing
Pricing model: Freemium
AgentFM Core is open source and MIT-licensed, available as a free single Go binary on GitHub. There is no paid tier mentioned—users download the binary for free and can join the public mesh network or create private encrypted swarms using shared keys. The platform eliminates cloud computing costs by utilizing idle hardware you already own or tapping into the global mesh of volunteered GPU infrastructure instead of paying AWS or renting GPU time from cloud providers.
Agentfm Core pros
- Single Go binary with zero-config setup
- Turns idle hardware into decentralized AI supercomputer
- Eliminates expensive centralized cloud provider costs
- NAT, firewall, and corporate network traversal built-in
- Public mesh networks for collaborative workloads
- Private encrypted swarms (Darknets) for enterprises
- Ephemeral Podman containers self-destruct after jobs
- Real-time hardware telemetry via GossipSub protocol
- Intelligent load balancing across global nodes
- Live artifact streaming for task outputs
- Framework-agnostic architecture supports any AI agent
- Language-agnostic: Python, Go, Rust, Node.js supported
- Headless API gateway for external app integration
- End-to-end encryption for sensitive data
- Open source MIT-licensed on GitHub
- Hardware-aware routing rejects tasks at capacity
- Works on Windows, Linux, and macOS cross-platform
- Integrates with Ollama, GAIA SDK, Next.js, n8n
Agentfm Core cons
- Requires sufficient network liquidity for competitive performance
- Depends on enough trustworthy nodes with available GPU capacity
- May have performance penalties vs centralized cloud services
- Enterprise security model needs real-world workload validation
- Limited documentation compared to established cloud providers
- P2P network complexity may challenge less technical users
- Security auditing details only in GitHub repo
- No guaranteed SLA like enterprise cloud providers offer
Frequently asked questions about Agentfm Core
What is AgentFM Core?
AgentFM Core is a peer-to-peer network that transforms idle CPUs and GPUs worldwide into a decentralized AI supercomputer. It's distributed as a single Go binary requiring zero configuration that connects computers globally through libp2p with Kademlia DHT routing and Circuit Relay v2 to punch through NATs and firewalls.
How do I install AgentFM?
AgentFM is distributed as a single Go binary. You install it on any compatible machine (Windows, Linux, or macOS), and it automatically finds peers and connects to the P2P network with no configuration required.
What programming languages does AgentFM support?
AgentFM is language-agnostic and framework-independent, supporting Python, Go, Rust, and Node.js. You can package any AI agent into Podman containers and broadcast them across the network regardless of the language used.
How does the security work?
AgentFM includes enterprise-grade security with private encrypted swarms (Darknets) created using shared keys, ephemeral containerized execution in Podman containers that self-destruct after jobs, end-to-end encryption, and automatic network isolation for sensitive data. Worker nodes execute tasks inside isolated sandboxes.
What is the difference between boss nodes and worker nodes?
The architecture splits nodes into two roles: boss nodes dispatch tasks to the network, while worker nodes execute tasks inside ephemeral Podman containers that self-destruct after each job completes. Workers broadcast live hardware state and automatically reject tasks when at capacity.
Can I use AgentFM for sensitive enterprise data?
Yes, AgentFM offers Darknets—private encrypted swarms created with a shared key. You can distribute workloads across your own hardware without traffic touching the public internet, making it suitable for enterprises handling sensitive data.
How does AgentFM save money compared to cloud providers?
Instead of paying AWS or renting GPU time from centralized cloud providers, AgentFM lets you pool spare CPUs and GPUs across machines you already own or tap into a global mesh of volunteered GPU infrastructure. This can reduce AI compute expenses significantly by utilizing idle hardware.
What AI models can I run on AgentFM?
You can run demanding models like Llama or Flux, local LLMs, Python scripts, image generators, or any AI agent packaged into Podman containers. The platform integrates with Ollama for local model hosting and supports various AI workload types.
Is AgentFM open source?
Yes, AgentFM is MIT-licensed and open source on GitHub at the Agent-FM/agentfm-core repository. The project is freely available for anyone to download, use, and contribute to.
How does the networking stack work?
The networking stack runs on libp2p, using Kademlia DHT for routing and Circuit Relay v2 to punch through NATs and corporate firewalls. Workers broadcast their live hardware state via GossipSub protocol, enabling real-time hardware telemetry across the network.