open-source

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.

Open-source local-first AI agent that routes between local and cloud LLMs, learns from escalations, and stores knowledge for future queries. The repo includes a quickstart, setup modes, and a concrete explanation of how it ingests docs and improves over time.

PileaX is a local-first AI knowledge base that combines AI chat, smart notes, and e-book reading/management in one product. The repo shows desktop and Docker-based deployment options, a Notion-style editor, and an AI-agent angle for managing knowledge and reading workflows.

Local push-to-talk dictation for macOS that uses Whisper, stays on-device, and pastes text at the cursor.

Open-sourced local multi-agent OS that runs three agents on consumer hardware, lets them form goals from environmental pressure, and supports self-modifying workflows through tool creation and change requests.

WUPHF is a local-first AI agent workspace that runs a team of role-based agents with a shared wiki and persistent project memory. It supports Claude Code, Codex, OpenClaw, and local models via OpenCode, with install and build options shown on the page.

Flue is an open-source Python tool that lets coding agents control desktop software from the command line without MCP servers. The README says it works with apps like Photoshop, Blender, Unity, Houdini, and Microsoft Office, and supports harnesses such as Claude Code, Codex, Gemini CLI, Cursor, and OpenCode.

Sandboxed bash for agents with structured command output and full filesystem state capture after each run.

A Claude Code plugin that learns from user corrections and successful runs, then turns them into reusable rules and playbooks stored locally.

A ~1000-line C workflow runtime where an LLM can modify a DAG during execution using a restricted four-verb grammar, with every change written to an append-only audit log for replay and inspection.

A local-first, file-based context and memory system for AI coding assistants. It’s designed to persist decisions, tasks, and learnings across sessions so tools can rehydrate project context instead of starting from scratch.

Open-source Rust coding agent with LLM-native code understanding, shell safety, and support for multiple LLM providers with automatic failover.