Haif – Hyperswarm-Rpc AI Inference Framework
Posted3 months ago
github.comTechstory
calmneutral
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Artificial IntelligenceRpcDistributed Systems
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Artificial Intelligence
Rpc
Distributed Systems
The HAIF framework is introduced on GitHub for Hyperswarm-RPC AI Inference, but receives little discussion or engagement on HN.
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- 01Story posted
Oct 8, 2025 at 10:16 AM EDT
3 months ago
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Oct 8, 2025 at 10:16 AM EDT
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Oct 8, 2025 at 10:16 AM EDT
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ID: 45516463Type: storyLast synced: 11/17/2025, 11:10:17 AM
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Read the primary article or dive into the live Hacker News thread when you're ready.
Under the hood: - P2P core: Hyperswarm’s DHT handles NAT traversal and encrypted Noise streams for secure peer discovery. - Scalable by design: Stateless nodes enable effortless horizontal scaling across peers. - Resilient & fault-tolerant: Self-healing mesh — if one node drops, others keep serving requests. - Observable: Integrated metrics, logs, and tracing via OpenTelemetry for full visibility. - Modern stack: TypeScript, Fastify, Docker, Prometheus/Grafana for observability, and CI/CD ready.
Use it to power edge-AI, collaborative model sharing, or offline-ready inference that just works — anywhere. Check out the repo, run the quick-start, and help shape the future of distributed AI.