A local-first audio workstation for voice cloning, dubbing, and transcription, providing a unified interface for 27+ AI audio engines.

A cross‑platform Electron launcher that logs into ChatGPT Web inside an embedded browser and exposes the selected ChatGPT model as a native Codex model, optionally allowing full tool integration via OpenAI’s tunnel‑client.

OpenClaude is an open‑source, terminal‑first CLI that lets developers interact with many LLM providers (cloud APIs, Ollama, Gemini, etc.) for coding‑assistant tasks. It offers unified provider setup, tool‑driven multi‑step workflows, background sessions, a repo‑map for code‑base awareness, a VS Code extension, and even a pixel‑art companion. Install via npm, configure providers with `/provider`, and use the REPL or background commands to generate, refactor, or debug code.

OpenWhispr is a cross‑platform desktop app that converts speech to text, provides live meeting transcription with speaker diarisation, and lets you talk to AI assistants (GPT‑5, Claude, Gemini, etc.) directly from your keyboard. It works offline with Whisper‑based models or via cloud services, stores notes locally (with optional cloud sync), and offers an API for programmatic use.

A Python tool that converts PDFs, EPUBs, DOCX, Markdown, etc., into an Agent‑Skill bundle (SKILL.md + per‑chapter markdown files). The skill can be loaded by Copilot CLI, Amp, Claude Code, letting the LLM answer questions from the original book on‑demand while using 24‑51× fewer tokens than feeding the whole book as context.

A free, open‑source multilingual textbook on AI agents (Agent = LLM + Context + Tools) with ten theory chapters and 95 runnable Python experiments, plus scripts to clone required external repos. Install per‑chapter dependencies with `uv` (or pip), add an LLM API key, and run the examples. Apache‑2.0 licensed.

A native, zero‑runtime executable that builds a persistent, multi‑language knowledge graph of a codebase (158 languages) using Tree‑sitter and a custom “Hybrid LSP” type resolver. The graph can be queried instantly (structural, semantic, Cypher‑like) and is consumed by AI coding agents (Claude Code, Codex, OpenCode, etc.) to answer code‑understanding questions without sending source files to the cloud. Includes a built‑in 3D UI, cross‑repo linking, dead‑code detection, impact analysis, and integrates automatically with 43 supported agents. All processing is local, fast (Linux kernel indexed in ~3 min), and distributed via npm, PyPI, Homebrew, etc.

Awesome LLM Apps is an Apache‑2.0‑licensed collection of 100+ ready‑to‑run AI agents, agent‑skills, and RAG pipelines. The repo groups templates into starter agents, advanced multi‑step agents, always‑on services, voice agents, generative‑UI agents, game‑playing bots, MCP‑enabled tools, and detailed RAG tutorials. Each entry ships with real code, security‑checked CI, and works with Claude, Gemini, GPT‑4/4o, DeepSeek, Llama, Qwen and other models. Users can add a skill in seconds (`npx skills add …`) or run a full agent in ~30 seconds (`pip install && streamlit run`). The project is maintained by Unwind AI and is free for commercial use.

Open Executive is a self‑hosted AI system that acts as a virtual executive team. It uses Anthropic Claude (or optional local models) to run eight specialist agents (strategy, finance, HR, legal, operations, marketing, product, board) that retrieve both built‑in MBA knowledge and the user’s uploaded company documents from a local ChromaDB vector store. An orchestrator synthesises a single, consistent executive voice, while episodic memory stored in SQLite lets the system remember past decisions. The stack includes FastAPI (Python 3.11), Next.js 15 UI, SQLite, ChromaDB, and Fly.io deployment scripts. It supports web, Slack, Discord, Telegram, Google Chat, email, and CLI interfaces, and provides a scheduler for proactive follow‑ups. The project is a genuine AI software offering, not a simple tutorial or list.

SwarmForge is a local, tmux‑based platform that orchestrates multiple LLM agents (e.g., Claude, Codex, Copilot) as a disciplined software‑engineering team. Packs (two‑pack, four‑pack, six‑pack) define role‑specific prompts and a hand‑off flow; a web dashboard visualises tasks as Kanban cards, handles human approvals, and lets you chat with a supervising "lieutenant" agent. The system runs entirely on your machine using git worktrees, Babashka scripts, and a simple file‑based handoff protocol.

A Claude Code skill that audits a website for AI‑search (GEO) visibility, scoring citability, brand signals, content quality, technical SEO and schema, then generates markdown or PDF client reports.

RocketRide‑Server is an open‑source, MIT‑licensed C++ runtime that executes AI/ML pipelines defined as portable JSON. It provides a VS Code visual builder, SDKs for Python/TypeScript, and can run either on RocketRide Cloud or self‑hosted (Docker, on‑prem). The platform bundles 100+ nodes (LLM providers, vector DBs, OCR, etc.), multi‑agent support, and real‑time observability, targeting developers who want a production‑ready, zero‑ops AI workflow engine.

Dashi PPT Skill is a Node‑based plugin that lets AI agents generate, edit, and export fully‑styled slide decks. It offers 12 themes, 1 020 templates, rich chart/model layouts, in‑browser controls, and one‑click PPTX/PDF export, all running locally under an AGPL‑3.0 license.

ARS‑Codex is a Codex‑native plugin that bundles the full Academic Research Skills workflow (question refinement, literature‑review planning, paper drafting, peer‑review simulation, and end‑to‑end research‑to‑paper pipelines). Install it via the Codex marketplace or directly as a skill, then invoke `$academic‑research‑suite` (or `ars‑*` aliases) to let the router pick the appropriate workflow. The repo provides setup docs, architecture notes, and a full‑runtime adapter (disabled by default). It is an AI‑driven research assistant, not a generic tutorial list.

MyContext is a desktop app that continuously ingests a user’s work data (chat, docs, meetings, etc.) into a private, locally stored knowledge graph. The graph can be queried by LLMs, local agents, or authorized AI apps, providing them with a personal context layer for more informed responses. Features include a digital‑self assistant, natural‑language search with source citations, and strict human‑in‑the‑loop controls. The project is actively developed and released under the Elastic License 2.0.

An open-source, local-first AI voice studio for voice cloning, speech generation, and system-wide dictation, featuring an MCP server for AI agent integration.

VoxCPM is a tokenizer-free, diffusion-based Text-to-Speech system that provides studio-quality multilingual speech generation, creative voice design, and high-fidelity voice cloning.

Whisper is OpenAI’s open‑source, transformer‑based speech‑to‑text system that handles transcription, language identification, and translation across many languages. It ships as a pip‑installable package with six model sizes (tiny → large, plus a fast “turbo” variant). The CLI (`whisper …`) and a simple Python API (`whisper.load_model(...).transcribe(...)`) let you turn audio files into text with just a few commands. The project runs on Python 3.8‑3.11, PyTorch, and requires ffmpeg (and optionally Rust for the tokenizer). All code and model weights are MIT‑licensed.

dsh‑web is a plugin ecosystem for DeepSeek Harness Web, providing a modular “all‑in‑one” npm package that adds task boards, mobile remote pairing, SSH console, image‑understanding, Git visualisation, skins, pets and a marketplace. Install with `dsh plugin --profile web add @linxin666/dsh-web-all@latest` and restart the UI. It’s aimed at AI‑agent developers and power users who want a richer, extensible web workstation.

A 17‑lesson tutorial that teaches you how to build the surrounding “harness” code for an LLM‑based coding agent (Claude). It walks through adding tools, permissions, context management, memory, task scheduling, multi‑agent coordination, and goal‑driven termination, all around a simple agent‑loop that lets the model decide when to call tools.

WeKnora is an open‑source, enterprise‑grade framework that turns collections of documents into a searchable, reasoning‑capable knowledge base. It offers RAG‑based Q&A, a ReAct‑style autonomous agent, and a Wiki mode that auto‑generates and maintains inter‑linked markdown wikis. The modular architecture supports many LLMs, vector databases, storage back‑ends, and IM integrations, with fine‑grained RBAC, scoped API keys, Langfuse observability, and Docker/Kubernetes deployment.

VibeVoice is a family of open-source voice AI models providing long-form speech recognition (ASR) and text-to-speech (TTS) capabilities with high speaker consistency and efficiency.

A draggable, animated whale widget for the DeepSeek Harness web UI that displays your DeepSeek API balance, today’s spend (via a zero‑config bookkeeping mode or an optional real‑time token mode), and per‑turn cost, updating automatically and offering size, sound, and language customisation.

CLI‑Anything is a Python framework that automatically generates agent‑friendly Click CLIs for any software, outputting JSON for easy parsing. It includes a 7‑phase generation pipeline (analyze → design → implement → test → document → publish) and a package manager called CLI‑Hub to browse, install, and run a growing catalog of pre‑built CLIs (e.g., GIMP, Blender, Zoom). The project targets AI agents (Claude Code, Cursor, OpenClaw, etc.) that need deterministic, composable command interfaces, and it ships with a comprehensive test suite and security hardenings.

A streaming dual-brain memory system for real-time voice agents that provides low-latency, emotionally aware long-term memory with minimal token consumption.

A thorough, example‑rich tutorial for Anthropic’s Claude Code CLI, covering installation, prompt engineering, and advanced extensions (Skills, Hooks, Sub‑agents, Workflows, MCP) to let developers use Claude for repo‑wide code analysis, editing, testing and automation.

A free, open-source, offline speech-to-text application that transcribes speech locally and pastes the text into any active text field.

Daily Stock Analysis (DSA) is an open‑source Python system that uses large language models to automatically gather market data, news and sentiment for a user‑defined watch‑list, generate a concise AI‑driven decision report, and push the report to enterprise messengers, Telegram, Discord, Slack or email. It offers a web UI, an “Agent” chat with built‑in trading strategies, and can be run via GitHub Actions, Docker or locally.

baoyu-design packages Claude Design as a local agent skill, enabling full‑featured UI/UX design (mockups, prototypes, decks, design‑system import, Figma .fig decoding, PPTX export, etc.) directly inside agents like Cursor, Claude Code, or Codex, with all artefacts stored as self‑contained HTML in your repo.

A self-hosted, real-time soundscape analyzer for birds, wildlife, and bats that provides local AI inference and a web dashboard for detections.

A free, local audio stem separation tool that uses AI to split songs into isolated tracks like vocals, drums, and bass without requiring cloud uploads.

A massive open‑source library (364 skills, 120 commands) that adds domain‑specific expertise to Claude Code, Codex, Gemini CLI, Cursor, and 9 other AI coding agents. Each skill bundles a structured markdown guide, pure‑Python CLI helpers, and reference assets. The repo includes personas, an orchestration protocol, and a built‑in security auditor, making it a turnkey way to turn any LLM‑coding assistant into a full‑stack engineering, product, marketing, compliance, or C‑suite advisor.

Bindu is an open‑source framework that turns any LLM‑based agent into a secure, identity‑verified, payment‑enabled internet service. It provides built‑in mTLS, DID signatures, OAuth2 via Hydra, USDC (x402) payment enforcement, skill advertising, push notifications, and polyglot SDKs (Python, TypeScript, Kotlin). With a single `bindufy()` call you get a JSON‑RPC endpoint, optional public tunneling, and deployment helpers, making it easy to build swarms, paid APIs, or regulated B2B agent integrations.

Everroom is an open‑source, macOS‑focused desktop app that builds a local, versioned “context layer” (Evidence → Knowledge → Memory → Room) for AI agents. It ingests files, repos, chats, and web content, stores them in SQLite with content‑addressed objects, and lets scoped agents generate or edit versioned documents while preserving provenance. The architecture consists of an Electron + React UI, a Fastify‑based local Gateway, optional MemoryCore/Knowledge micro‑services, and pluggable agent runtimes (default fake, or Pi runtime for OpenAI‑style models). The project is in early development, targeting privacy‑first local workflows and planning to expand ingest connectors, evidence review UI, and additional agent adapters.

ARIS (Auto‑claude‑code‑research‑in‑sleep) is a real open‑source CLI that automates LLM‑driven research loops. It bundles 80+ “skills”, self‑audits output with the Anti‑Autoresearch module, supports many agents (Claude, Codex, DeepSeek, etc.), and offers adapters, a lightweight monitor UI, and a multimodal movie‑director extension.

The repository is the production‑grade code for X’s “For‑You” feed. It merges in‑network (followed) and out‑of‑network (retrieved) tweets, scores them with a transformer model (Phoenix), applies configurable weights, runs visibility‑filtering based on a rich label system, and finally blends in ads and suggestions. The repo includes the request‑time pipeline (home‑mixer), retrieval models (phoenix, simclusters), labeling infrastructure (agatha, clip, botmaker, scarecrow), and a transparency tool. Recent updates add weight documentation, a Brazil‑election filter, and synthetic training code. Licensed under Apache 2.0.

Plannotator is a local, browser‑based (and terminal) review UI that integrates with many AI coding agents. It lets you annotate plans, specs, markdown, HTML, and code diffs, then sends the feedback back to the agent. Installation is a one‑line script that auto‑detects agents; the tool works offline, stores everything locally, and only contacts the network for fetching URLs, PR data, or optional link‑sharing. It includes VS Code, Obsidian, and GitHub/GitLab integrations, and provides secure binary distribution with SLSA provenance.

A powerful few-shot voice conversion and text-to-speech system that can clone a voice using as little as 5 seconds of audio.

A voice timbre conversion framework that uses retrieval-based features to transform voices with high fidelity and low latency.

GPA is a unified auto-regressive transformer model that integrates speech recognition (ASR) and text-to-speech (TTS) into a single system with near-SOTA performance.

A Chinese‑language collection of 276 ready‑to‑use AI expert agents (personas, workflows, deliverables) covering 20 business domains. Includes 63 China‑specific roles and integrates with 18 AI coding tools via simple install scripts. Works with the companion “Agency Orchestrator” (CLI or native desktop app) to compose multi‑agent workflows without writing code. MIT‑licensed and published on npm.

camofox-browser is a Node.js server that runs a patched Firefox (Camoufox) with built‑in anti‑bot fingerprint spoofing and exposes a REST API for AI agents. It returns compact accessibility snapshots, stable element references, cookie import, proxy/GeoIP handling, VNC login, and optional Playwright tracing, all deployable via Docker, Fly.io, Railway, or locally.

EnvoyMesh is a self‑hosted, peer‑to‑peer social network that lets you chat, call, share files, and run a personal AI assistant without any central server. Your identity is a cryptographic Ed25519 key you control, and the built‑in AI (OpenClaw) or any external HTTP‑based AI can act on your behalf under strict policy checks. The platform includes a markdown knowledge base (with Obsidian sync), a mobile thin client (EnvoyGo), and team‑oriented agent orchestration features.

A high-performance C++ audio inference framework built on ggml that provides a portable, native runtime for running diverse local audio models including TTS, ASR, and voice conversion.

BossConsole is an open‑source, JVM‑native desktop console that lets any LLM agent work with a real browser, terminal, editor, git, Docker/Kubernetes, and more. It exposes ~100 tools via a Model Context Protocol, offers fine‑grained RBAC and per‑tool kill‑switches, and supports hot‑reloading plugins so agents can evolve their own capabilities.

AI‑DLC Workflows (awslabs/aidlc‑workflows) supply rule files that turn popular AI coding assistants (Kiro, Amazon Q, Cursor, Cline, Claude Code, GitHub Copilot, OpenAI Codex) into a structured, self‑correcting development workflow. After downloading the release zip, you copy the `aws-aidlc-rules` and `aws-aidlc-rule-details` folders into the hidden configuration directory required by your IDE/agent. The core workflow (`core‑workflow.md`) defines a three‑phase adaptive process (inception → construction → operations) that the AI follows, prompting you for confirmations and automatically handling corrections. The project is a genuine AWS‑maintained tool for AI‑driven software development, licensed under Apache‑2.0.

An open-source voice-to-text dictation app for macOS that enables on-device AI transcription and system control via voice commands.

AI Berkshire is a set of Claude Code / Codex skills that orchestrate multiple LLM agents—each embodying a famous value‑investor’s perspective—to produce structured, data‑validated investment research reports, checklists, industry scans, and portfolio tools.