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25–48 of 71 · Most stars

s3git: git for Cloud Storage. Distributed Version Control for Data. Create decentralized and versioned repos that scale infinitely to 100s of millions of files. Clone huge PB-scale repos on your local SSD to make changes, commit and push back. Oh yeah, it dedupes too and offers directory versioning.

  • cloud-storage
  • git
  • version-control
  • decentralized

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding intelligent features like schemas, managed embeddings, reranking+llm, GPU accel, Auto-TLP, Policy-based Memory Decay, and MCP server.

ScopeWeaver: English and Korean localization of ARTEX, with preserved AGPL-3.0 attribution.

Fast, native API client for REST, gRPC, WebSocket and GraphQL. A local-first Postman alternative written in Go: no Electron, no account, no cloud.

Run:ai is the AI workload orchestration platform for Kubernetes. This monorepo contains the control plane services, in-cluster Kubernetes operator/controllers, shared libraries and clients, the installer, and the local dev environment.

The lossless, headless coding agent harness. One 7 MB static binary, four tools, plain stdin/stdout, no silent cuts.

A local AI gateway for AI agents, unifying your subscriptions and API providers with smart routing and on-device privacy protection.

  • ai-gateway

Tiny local-first AI harness: any model, MCP and Agent Skills, natural-language CLI. Zero dependencies. MIT.

teler-waf is a Go HTTP middleware that protects local web services from OWASP Top 10 threats, known vulnerabilities, malicious actors, botnets, unwanted crawlers, and brute force attacks.

  • ids
  • teler
  • waf
  • teler-ids

Berth is a lightweight GPU resource manager written in Go. It controls which applications get access to your GPU, when they get it, and how that access is handed off.

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.