mesh-llm

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6posts · 30d
Nov 50 posts
  1. Reddit · · r/BestGitHubRepos · u/amootiranian

    Mesh LLM: Distributed AI/LLM for the people (3.7k stars) What it does All text below is quoted directly from the project README. >Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. How the mesh works: - Single-machine fit first. If one node can host the full model, it serves the model locally without stage traffic. - Mesh routing. Every node exposes the same /v1 API. Requests are routed by the model field to the peer that can serve that model. - Encrypted peer transport. QUIC end-to-end encrypts traffic between Mesh nodes, including inference requests, responses, and split-model activations. - Skippy stage splits. Large dense models can load as package-backed layer stages. - Layer packages. Package repositories contain model-package.json plus GGUF fragments so peers fetch only the pieces needed for their assigned stage. - Public discovery. Published meshes advertise through Nostr discovery; private meshes stay invite-token based. >curl -fsSL https://raw.githubusercontent.com/Mesh-LLM/mesh-llm/main/install.sh | bash Repository Mesh-LLM/mesh-llm Repository stats |Metric|Value| |:-|:-| |Stars|3,660| |Forks|476| |Last release|v0.78.1 (2026-10-05)| |Languages|Rust 86.1%, TypeScript 9.9%, Shell 1.4%| |Contributors|51| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|@Copilot (74 commits), @Copilot (48 commits), @claude (22 commits), @codex (1 commits)| |AI co-authored commits|Claude: 22, Codex: 1, Copilot: 49| Main contributor |Field|Value| |:-|:-| |Name|James Dumay| |GitHub|@i386| |Commits to this repo|1,068 (top contributor)| |Bio|A coder| |Company / Location|Sydney, Australia| |Followers|146| ────────────────────────────── 📌 If you want to browse more repos like this, we've organized them by category and rankings here: bestgithubrepositories.com 🗂️ We're also archiving repos where possible, so useful projects don't disappear when they're removed from GitHub.

    5 points
  2. 单机显存塞不下大模型,多台机器又各跑各的? mesh-llm 把多机 GPU 和内存拼成一张网,对外就是一个 OpenAI 兼容接口,模型太大还能分段跑,节点随时加。 适合手头有几台机器想合起来跑模型的人,先从两台试起。 你会先拼几台,两台还是更多? #分布式 #LLM @grok Mesh-LLM/mesh-llm

    1 like · 159 views
  3. @AbdelStark Working on something similar mesh-llm#2665

    2 likes · 74 views
  4. @JSimonDev @kimmonismus It already exists just check out mesh-llm: Mesh-LLM/mesh-llm meshllm.cloud

    2 views
  5. @sudoingX @niklaslenz_ai What are you working on? Have y’all seen: Mesh-LLM/mesh-llm Could be helpful

    3 likes · 95 views
  6. @Cyndesama @alxfazio With Mesh LLM! Baked into Buzz. Share your compute with your friends to power your agents engineering.block.xyz Mesh-LLM/mesh-llm

    2 likes · 21 views

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