feat(shardr): Add shardr package to the overlay
CI / check (push) Has been cancelled

Decentralized LLM repository (Go): content-addressed model store with
BitTorrent-based sync and OpenAI-compatible serving via llama-server.
Upstream has no tagged source releases, so the package is pinned to
main HEAD (fab7fa8) with a nix-update script targeting the branch.
Builds both shardr and shardhive binaries.
This commit is contained in:
2026-10-04 19:54:11 +03:00
parent c5c3696df7
commit 4fe8f68e9b
3 changed files with 51 additions and 0 deletions
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@@ -27,6 +27,7 @@ A custom Nix overlay and flake providing additional packages not found in upstre
| `mcp-gateway` | Universal Model Context Protocol gateway that sits between AI client and MCP tools/servers | MCP Servers | | `mcp-gateway` | Universal Model Context Protocol gateway that sits between AI client and MCP tools/servers | MCP Servers |
| `nftables-analyzer` | Analyze nftables firewall rules and evaluate traffic queries | Networking | | `nftables-analyzer` | Analyze nftables firewall rules and evaluate traffic queries | Networking |
| `nftablesbuilder` | Web interface to manage nftables rules with drag-and-drop rule creation | Networking | | `nftablesbuilder` | Web interface to manage nftables rules with drag-and-drop rule creation | Networking |
| `shardr` | Decentralized LLM repository: content-addressed model store, BitTorrent-based sync, OpenAI-compatible serving via llama-server | AI Inference |
| `skillsmcp` | MCP server that exposes Agent Skills to AI agents via the Model Context Protocol | MCP Servers | | `skillsmcp` | MCP server that exposes Agent Skills to AI agents via the Model Context Protocol | MCP Servers |
| `kubernetes-mcp-server` | Model Context Protocol (MCP) server for Kubernetes and OpenShift | MCP Servers | | `kubernetes-mcp-server` | Model Context Protocol (MCP) server for Kubernetes and OpenShift | MCP Servers |
| `llama-cpp` | llama.cpp pinned to build b9645, built for Strix Halo (gfx1151) with ROCm + Vulkan backends | AI Inference | | `llama-cpp` | llama.cpp pinned to build b9645, built for Strix Halo (gfx1151) with ROCm + Vulkan backends | AI Inference |
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@@ -0,0 +1,2 @@
{ pkgs, ... }:
pkgs.callPackage ./package.nix { }
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@@ -0,0 +1,48 @@
{
lib,
buildGoModule,
fetchFromGitHub,
}:
buildGoModule rec {
pname = "shardr";
# Pinned to a commit: upstream has no tagged source releases, only
# prebuilt "shardr-runner" bundles.
version = "0.1.0+unstable";
src = fetchFromGitHub {
owner = "Cyb3rDudu";
repo = "shardr";
rev = "fab7fa89bc8164181c5bcebd1f23a74825d11de1";
hash = "sha256-bbNvTU3rSlKD7Wr+Q+WGKKtIVUq6uzmv93uZq0gzO2U=";
};
vendorHash = "sha256-wI7oVOFEKDK2hr7MmJ/QY9Mqwgk6t24cBe8HSM/zpVo=";
subPackages = [
"cmd/shardr"
"cmd/shardhive"
];
# Upstream tests assume a llama-server binary and a live shardhive socket.
doCheck = false;
passthru = {
category = "AI Inference";
updateScript = [
"nix-update"
"--flake"
".#shardr"
"--version=branch=main"
];
};
meta = {
description = "Decentralized LLM repository with sync-based distribution over a BitTorrent peer network";
homepage = "https://github.com/Cyb3rDudu/shardr";
changelog = "https://github.com/Cyb3rDudu/shardr/releases";
license = lib.licenses.asl20;
maintainers = [ ];
mainProgram = "shardr";
};
}