open-source

Open-source MCP server and CLI that lets an LLM control hardware workflows like compiling, flashing, and reading serial output for firmware development and device diagnostics.

An open-source Claude skill that runs structured retrospectives after sessions, applies improvements to the right layer of your Claude setup, and keeps a dated audit log of changes.

Open-source technical SEO and GEO crawler for humans and agents. It offers a CLI, MCP server, and agent skills for crawling sites, checking broken links and metadata, and generating JSON/HTML reports.

A tiny GPT implementation in pure Go, trained on Jules Verne books, with runnable code and notes that explain the model’s evolution and design choices.

Open-source MCP server that exposes SQL databases as tools and prompts for AI agents, with support for MSSQL and PostgreSQL, read-only defaults, and local or remote transport.

An open-source control plane for running multiple AI coding agents in isolated Docker workspaces, with PR creation, review monitoring, CI-fix loops, and merge gating.

macOS CLI tool that load-balances Claude Code sessions across multiple subscriptions by selecting the emptiest account before launch.

Self-hosted AI assistant that connects to many apps and services, with Tamil and Hindi UI support, mobile PWA access, and Anthropic model integration.

Open-source project that ports Google DeepMind’s Magenta RealTime 2 music generation to Core ML for local execution on iPhone, with Apple Neural Engine acceleration and no GPU use.

LocalCode turns plain English into CLI commands on Apple Silicon Macs using Apple’s on-device Foundation Models framework, then asks for approval before running them.

AutoGPU is an open-source project for using AI agents to design and harden a GPU-like chip end to end, from Verilog through synthesis and place-and-route to GDSII. The repo shows a concrete fp8 matmul accelerator flow, quick-start steps, and documentation for running the design/hardening process.

Runtime authorization platform for AI agents with open-source SDKs in Python, TypeScript, Go, Java, and Rust. The page says the hosted service is in production, supports per-action checks, scoped delegation, revocable tokens, and a shared authorization model across MCP tools, agent-to-agent calls, and direct API integr

A minimal native macOS sandbox for running Claude Code or Codex with OS-enforced limits on what the agent can touch.

An open-source handbook for production LLM serving and inference at scale, covering GPU fundamentals, KV cache, batching, quantization, speculative decoding, and engines like vLLM, SGLang, and TensorRT-LLM.

Open-source local document memory for AI tools, coding agents, and humans. It offers a local CLI, optional daemon, searchable notes, metadata, tags, links, and version history.

VAEN is a CLI for packaging AI coding-agent setups into portable .agent archives and importing them across repos or teams without copying instructions, skills, MCP config, or secrets.

Hodor is a native macOS prompt launcher that lets you save prompts and paste them into ChatGPT, Claude, or other AI tools with shortcuts, edge browsing, or keywords. It is open source, notarized, and runs fully local with no data collection.

A Rust reimplementation of the 1982 ZX Spectrum BASIC runtime, compiled to native binaries and WebAssembly, with a live browser demo. The page frames it as an AI software-engineering experiment and describes the interpreter, editor, screen, keyboard, and runtime behavior it recreates.

Open-source MLOps/LLMOps platform for experiment tracking, model registry, and deployment with an emphasis on data and compute staying under user control.

A terminal multiplexer built for AI coding agents, with persistent sessions, agent-aware status, remote attach, and workspace/tab/pane management.

Steel’s Agent Traces turns recorded browser sessions into a readable, frame-synced timeline with inline details, markdown export, and API access for AI agent workflows.

Open-source estimation tool for AI coding-agent tasks. It gives PERT-based time forecasts, human-speed comparisons, model reliability checks, and wave planning for parallel work.

Open-source, local MCP-based context layer for AI coding assistants. It scans a codebase, builds a behavioral graph, and aims to improve architectural understanding while reducing input-token use on large repos.

Open-source local compute fabric for AI agents. It runs a single-node K3s stack through Docker Compose, provisions isolated Ubuntu sandboxes, and exposes native MCP support for local agent workflows.