A tool to mount Hugging Face Hub repositories and Buckets as local filesystems, enabling lazy loading of models and datasets without full downloads.

An open-source observability and self-improving layer for AI agents that detects production failures, root-causes them to source code, and opens verified fix PRs.

A self-hosted AI SRE agent that learns normal system log patterns to automatically detect and escalate only new or unexpected anomalies.

An HTTP/HTTPS proxy that provides security guardrails for AI agents by evaluating outbound API requests against static rules and LLM-based policies.

A real-time observability dashboard for Claude Code and Codex agents that provides visibility into subagent hierarchies, tool calls, and token usage.

A live visual surface for terminal coding agents that renders diagrams, UI sketches, and diffs in a browser to replace text-only communication.

An MCP server that enables AI assistants to execute PromQL queries and analyze metrics data from a Prometheus server.

An open-source AI code reviewer that provides instant feedback on pull requests and local changes using any LLM provider.

A CLI tool for launching and managing LLM inference workloads on NVIDIA DGX Spark systems without requiring Slurm or Kubernetes.

A high-performance data streaming library for PyTorch that enables fast, deterministic loading of massive datasets from cloud storage during distributed AI training.

A high-performance, lightweight IDE for Jupyter notebooks that uses a fraction of the resources of JupyterLab while maintaining full kernel and file compatibility.

KiStack is a set of automation skills for KiCad that automates schematic validation, PCB review, and Gerber file checks.

A Claude skill that measures and reduces cyclomatic complexity in code to make AI-generated logic more maintainable and human-readable.

A fast, scriptable CLI for macOS Reminders designed for power users and AI agents, providing deep access to task metadata and private API integrations.

An open source framework for the agile development of Chisel-based RISC-V systems-on-chip, integrating processor cores, accelerators, and VLSI tooling.

A high-performance TypeScript transformer library that converts pure types into runtime validators, JSON schemas, and LLM function calling harnesses.

A Kubernetes alert enrichment engine that integrates with Prometheus to provide diagnostic data and automated remediation for alerts.

A Python library for financial econometrics that provides tools for volatility modeling (ARCH/GARCH), unit root testing, and cointegration analysis.

A lightweight, high-performance embedded rule engine for Go that allows dynamic orchestration of business logic through component-based rule chains.

Open‑source library of reusable “skills” that teach AI coding assistants (Claude Code, Copilot CLI, Cursor, etc.) how to work with Elasticsearch, Kibana, Elastic Cloud, Observability, and Security. Install via the `skills` CLI or native plugin systems; each skill is a self‑contained folder with metadata and step‑by‑step API instructions. Designed for safe, credential‑aware automation of Elastic‑stack tasks.

A Kubernetes-native distributed dataset orchestrator and accelerator that optimizes data access for AI and big data applications by providing dataset abstraction and elastic caching.

A performance and correctness testing suite for the NVIDIA Collective Communications Library (NCCL) used to benchmark multi-GPU and multi-node communication.

A tmux plugin that provides a centralized sidebar to monitor and manage AI coding agents like Claude Code, Codex, and OpenCode across all sessions and windows.

A standalone CLI tool that orchestrates Claude Code or codex to autonomously execute implementation plans, featuring a multi-phase AI code review pipeline.

SkillNet is an open‑source infrastructure that treats AI agent capabilities as reusable, searchable software assets. It offers a public skill library, a Python SDK/CLI, and a public REST API for discovering, downloading, creating, evaluating, analyzing, and orchestrating these skills. The platform enables agents to reuse existing functionality (e.g., PDF parsing, web‑scraping) instead of reinventing it, provides quality scores, builds skill‑relationship graphs, and can generate scene‑specific prompts for downstream LLM agents. Installation is as simple as `pip install skillnet-ai`; no API key is needed for search or public downloads, while creation/evaluation/orchestration require an LLM API key. The project includes a web explorer, MCP server, and integrations with Claude, OpenAI, OpenClaw, and JiuwenClaw, plus benchmark scripts for ALFWorld, WebShop, and ScienceWorld.

A community-contributed repository of LLM evaluations built on the Inspect AI framework to standardize the benchmarking of model capabilities.

An AI-powered open-source recommender system engine written in Go that automatically trains models to provide personalized recommendations for users.

An automated TDD enforcement plugin for Claude Code that blocks AI agents from writing implementation code before failing tests are established.

An asynchronous Rust library for the OpenAI API and compatible providers, featuring type-safe requests, SSE streaming, and automatic rate-limit retries.

An implementation of the Model Context Protocol for the Unity Editor, allowing AI assistants to directly manipulate scenes, assets, and editor settings.

A PyTorch-based library for probabilistic modeling and analysis of single-cell omics data, supporting tasks like dimensionality reduction and data integration.

An IDE designed for AI coding agents that provides multi-session management, cost tracking, and a Kanban board for tools like Claude Code and Gemini CLI.

A lightweight neural network inference framework for Espressif ESP series chips that enables efficient on-device AI deployment through optimized quantization and memory management.

A tool that automates the setup of AI-powered development environments, providing standardized skills and spec-driven workflows for various AI coding agents.

AnyLanguageModel is a Swift package that replaces Apple’s FoundationModels import with a unified API for many LLM providers (Apple, Core ML, MLX, llama.cpp, Ollama, OpenAI, Anthropic, Gemini, etc.). It offers a `LanguageModelSession` for prompting, guided generation of Swift structs via `@Generable/@Guide`, tool‑calling support with delegate hooks, optional image inputs, and trait‑based dependency selection to keep binaries small. Installation is via SwiftPM; enable back‑ends with traits (`CoreML`, `MLX`, `Llama`). Security guidance warns against hard‑coding API keys, recommending either user‑provided keys stored in Keychain or a proxy server. The library targets Swift 6.1+, iOS 17/macOS 14+, and works on‑device as well as with cloud APIs.

A collection of reusable agentic workflows for GitHub that automate repository maintenance, code review, fault analysis, and documentation updates.

An enterprise-grade AIOps platform that uses multi-agent AI collaboration to automate the full cycle of alert diagnosis, human-approved repair, and verification.

An MCP server that connects AI coding assistants to Sentry, allowing agents to search for errors, issues, and traces to assist in debugging.

A multi-GPU parallelism node for ComfyUI that uses Ray, USP, and FSDP to split tensors and model weights across multiple GPUs to overcome VRAM limitations.

An AI API gateway that provides smart routing, automatic failover, and cost control for Claude Code, Codex, Gemini, and OpenAI upstreams.

A unified management app for AI coding agents that centralizes the configuration, extensions, and security auditing of multiple agents in one interface.

A local codebase indexing engine that reduces AI coding assistant costs by replacing full-file reads with targeted semantic search and retrieval.

An AI-powered pentesting framework for Claude Code that uses parallel specialized agents to audit smart contracts and web APIs, validating findings through a multi-gate process to generate submission-ready bug bounty reports.

A utility for the Claude Code CLI that automatically detects rate limits and API errors, waiting for resets and sending "continue" to resume tasks without manual intervention.

A CLI proxy that filters and condenses verbose shell output to reduce LLM token usage by 60-90% for AI coding assistants.

A unified Elixir interface that standardizes requests and responses across 20+ LLM providers, simplifying the integration of text, image, and audio AI models.

Token Optimizer MCP is an MIT‑licensed Node.js library and local server that intercepts LLM‑agent tool calls, replaces redundant reads with diffs, builds a per‑project knowledge graph, and measures the real monetary impact of each token. Benchmarks show up to 98 % reduction on several workloads and a 0.915× cost for 20‑turn sessions. It ships a zero‑telemetry dashboard, supports 16 clients (Claude Code, Gemini, Codex, …), and requires only a local install.

An LLM inference framework for CPU servers that optimizes memory usage to outperform GPUs in long-horizon, multi-turn inference and ultra-long context tasks.