AI agents

qwen-audio-agent

QwenAudio/qwen-audio-agent

Huia Project Score 79

qwen-audio-agent is a realtime voice runtime that sits in front of a coding or task agent. You talk to a voice model, longer jobs go to a backend agent while the conversation continues, and when a task finishes its result comes back into the same conversation. The voice side is swappable. Cloud options listed in the README include Qwen Audio 3.0 Realtime, GPT-Live / OpenAI Realtime, Google Gemini Live and Doubao Seeduplex 3.0 Realtime, each needing that provider's API key. Hugging Face Speech-to-Speech and MiniCPM-o 4.5 can run locally. Backend agents connect mostly over ACP: the list covers Qwen Code, OpenCode, OpenClaw and Kimi Code, with Codex and Claude Code joining through an external ACP adapter. You can use it from a WebUI, a terminal TUI or a desktop floating orb on macOS, Windows and Linux. The README also lists parallel background tasks you can query or cancel, cross-session memory, and scheduled reminders. The package is published on npm under Apache-2.0, a technical report is on arXiv, and the repository sits in the QwenAudio GitHub organization.

Stars

2.9K

Language

JavaScript

License

Apache-2.0

Momentum

Emerging

ai-engineering-from-scratch

rohitg00/ai-engineering-from-scratch

Huia Project Score 79

AI Engineering from Scratch is a free, MIT-licensed course on GitHub that teaches how AI systems work by having you write each piece yourself, starting with linear algebra and ending with multi-agent systems and production infrastructure. The material is split into 20 phases and 523 lessons, with code in Python, TypeScript, Rust and Julia. Each lesson folder holds a written explanation, runnable code and an outputs directory. The pattern is to build an algorithm such as backpropagation, a tokenizer, attention or an agent loop from plain math first, and only then run the same idea through a library like PyTorch or scikit-learn. Lessons end with something you keep: a prompt, a SKILL.md file, an agent or an MCP server. The repository holds 396 skills and 99 prompts produced this way, plus a script that copies them into an agent's skills folder. There are three ways to follow it. You can read lessons on the website with no setup, clone the repository and run the code locally, or install the course's tutor skills into a coding agent such as Claude Code or Codex. Those skills run a placement quiz, write a study plan to LEARNING.md and teach one lesson per session. Separate tracks prepare for the four Claude certification exams and the MCP Associate exam; the README says these are independent and not affiliated with the exam bodies.

Stars

68K

Language

Python

License

MIT

Momentum

+8.2% 7dEstablished

iFixAi

ifixai-ai/iFixAi

Huia Project Score 75

iFixAi is an open-source Python tool that audits AI agents and models by running a set of test inspections and returning an A to F grade with a written report. The free engine has 60 inspections. The grade comes from five core pillars: fabrication, manipulation, deception, unpredictability and opacity. Another 28 inspections from twenty premium categories are included and reported on their own, outside the grade. A grade counts as citable only when a judge model from a different vendor scores the run, so a full audit needs two API keys. You can test a bare model through providers such as Anthropic, OpenAI, Gemini, Azure, Bedrock and OpenRouter, or point the tool at your own agent's OpenAI-compatible HTTP endpoint. There are three ways to run it: a setup wizard, a CLI with explicit flags for CI, or a plugin for Claude Code and Codex, with a scaffolded /ifixai-skill command for other agents. Reports land as JSON and Markdown in ./ifixai-results/. The README estimates judge costs for a full run with a Sonnet judge at roughly $12 to $18, billed by the provider. The company also sells iFixAi Pro, a paid audit service with up to 400 inspections. Telemetry is on by default outside CI and can be switched off.

Stars

24K

Language

Python

License

Apache-2.0

Momentum

Established

orca

stablyai/orca

Huia Project Score 74

Orca is a desktop development environment for running multiple AI coding agents side by side, with each task isolated in its own Git worktree. It can launch agents such as Claude Code, Codex, Cursor CLI and OpenCode, while keeping terminals, files, diffs and browser sessions tied to each worktree. The project is aimed at developers who already use coding-agent command-line tools and want one place to manage several sessions. Orca runs on macOS, Windows and Linux. Worktrees can run locally, on SSH machines or on a remote Orca server that you control. Its built-in browser includes a Design Mode that can send an element's HTML, CSS and screenshot to an agent. The CLI can create worktrees, control terminals, open files and diffs, and automate Orca's browser. A mobile companion for iOS and Android can monitor sessions, send replies, inspect files and source control, and receive completion notifications. Orca does not provide an AI model or hosted compute. You bring the coding-agent accounts or subscriptions you already use, and remote execution uses machines or cloud accounts under your control.

Stars

91K

Language

TypeScript

License

MIT

Momentum

+7.8% 7dEstablished

OpenMontage

calesthio/OpenMontage

Huia Project Score 74

OpenMontage is a Python toolkit that turns an AI coding assistant such as Claude Code, Cursor, Copilot, Windsurf or Codex into a video production setup. You describe the video, and the assistant moves through fixed stages: research, proposal, script, scene plan, assets, edit and compose. No separate orchestrator program runs the show. The assistant reads YAML pipeline manifests and a Markdown director skill for each stage, then calls the Python tools itself. The repository has pipelines for animated explainers, cinematic trailers, documentary montages, talking-head edits, screen demos, podcast clips, and localization with dubbing, among others. It connects to many providers, including Kling, Veo, Runway, FLUX, ElevenLabs and Suno, and to local options: Piper for speech, WAN or Hunyuan video models on a GPU, and Remotion, HyperFrames and FFmpeg for rendering. With no API keys at all it can still narrate with Piper, pull footage from Archive.org, NASA and Wikimedia Commons, and render with Remotion. Creative stages wait for your approval, and a local board called Backlot shows each stage, the generated assets and the money spent. Budget controls estimate costs before generation, with a default total cap of $10 and a confirmation step for any single action above $0.50.

Stars

68K

Language

Python

License

AGPL-3.0

Momentum

+8.0% 7dEstablished

Agent-Reach

Panniantong/Agent-Reach

Huia Project Score 72

Agent Reach is a Python command-line tool that prepares an AI agent to read and search sites that are awkward to reach from a script, including Twitter/X, Reddit, YouTube, Bilibili, XiaoHongShu and GitHub. It leaves the actual reading to other tools. For each platform it picks an upstream project (Jina Reader for web pages, yt-dlp for YouTube, gh for GitHub, feedparser for RSS, twitter-cli and OpenCLI for social sites), installs it, checks that it works and gives the agent a SKILL.md file describing what to call. Every platform has an ordered list of backends, and when one breaks the maintainers move the next one up. The README cites June 2026, when Bilibili blocked yt-dlp and the tool switched to bili-cli. Running agent-reach doctor shows which channels work and which backend each is using. Web pages, YouTube, RSS, public GitHub repositories, V2EX and basic Bilibili search need no setup. Twitter, Reddit, XiaoHongShu, Facebook and Instagram need a logged-in session, either from cookies you export by hand or through OpenCLI reusing your desktop Chrome login. The main README is in Chinese; English, Japanese and Korean versions sit in the docs folder.

Stars

97K

Language

Python

License

MIT

Momentum

+7.7% 7dEstablished

nanobot

HKUDS/nanobot

Huia Project Score 69

nanobot is a self-hosted personal AI agent framework in Python from HKUDS. You run it on your own computer or server and talk to it through a browser WebUI, the terminal, or chat apps such as Telegram, Discord, Slack, WeChat, email and Mattermost. The agent can read and write files, run shell commands, search and fetch web pages, call MCP servers, schedule jobs with cron, generate images and hand work to subagents. Session history and long-term memory are handled by a component the project calls Dream. Models come from OpenAI-compatible APIs or local servers such as Ollama and vLLM, with fallback models configurable. nanobot can also expose its own OpenAI-compatible API, and it has a Python SDK for integrations. The stable track is the nanobot-ai package on PyPI, installed with a one-line script, uv or pip; the latest release is v0.3.5. Newer and experimental features land on the main branch first and need a source install. Documentation is at nanobot.wiki in ten languages.

Stars

49K

Language

Python

License

MIT

Momentum

+0.5% 7dEstablished

TencentDB-Agent-Memory

TencentCloud/TencentDB-Agent-Memory

Huia Project Score 69

TencentDB Agent Memory is a self-hosted memory service from Tencent Cloud that stores what AI agents learn and shares it across agents and team members. It turns past work into four kinds of memory asset. Chat Memory keeps preferences, facts and decisions, distilled from raw conversation through layers named L0 Conversation, L1 Atom, L2 Scenario and L3 Persona. Skills capture reusable procedures with versions and validation rules. LLM-Wiki builds linked pages from documents, and CodeGraph indexes symbols, files and call relationships so an agent can check what a change might affect. A web panel called Memory Hub tracks ownership, versions and access, with private, team and ACL-based visibility. Agents connect through a proxy. You point the agent's base URL at it, and the README says no plugin, hook or MCP server is needed. Listed clients include Claude Code, Codex, CodeBuddy, WorkBuddy, Hermes and OpenClaw. Setup starts three services (memory-core, memory-hub and proxy) with Docker and a start script, and asks for two sets of LLM settings. The README reports a PersonaMem score of 76% with the system against 48% without it, which is the project's own figure. Team Memory is labeled beta.

Stars

28K

Language

TypeScript

Momentum

Established

oh-my-openagent

code-yeongyu/oh-my-openagent

Huia Project Score 66

OmO (the repository is oh-my-openagent) is a terminal agent for coding and other work, started with a single omo command. It runs on senpi, the author's fork of the pi coding agent, with extra features built in. You open a project, run omo and describe the job. Adding the keyword ultrawork (or ulw) to a prompt tells the agent to read the codebase first, plan, check each step and verify the result before it stops. Typing mass ulw splits a large job into a graph of agents that run in parallel, each on a model picked for its part. A memory feature called Kibitzer keeps notes as markdown files in a git repository and has a cheaper model warn the main agent before it repeats an earlier mistake. The /login command signs in with Claude, ChatGPT, Kimi and GLM subscriptions. OmO installs as a native binary through a shell script (PowerShell on Windows) or as the omo-ai package from npm or Bun. People on the older OpenCode edition can carry their settings over with omo setup. GitHub lists the licence as "Other"; the repository's LICENSE.md is the Sustainable Use License.

Stars

70K

Language

TypeScript

Momentum

+0.3% 7dEstablished

deepseek-harness

deepseek-ai/deepseek-harness

Huia Project Score 65

DeepSeek Harness is an open-source agent runtime from DeepSeek AI that runs coding agents through a Web UI, headless jobs, SDK connections or ACP automation clients. Its Cordis-based design treats the model adapter, tools, session log and agent loop as plugins, so these parts can be replaced or extended through configuration. The Web UI works with a selected project directory. An agent can read and edit files, execute commands, delegate work and keep a plan, subject to the configured approval policy. The default setup supports DeepSeek models, while the model settings also support shipped third-party providers and custom APIs using OpenAI Chat Completions, OpenAI Responses or Anthropic Messages protocols. Developers can add their own Harness plugins, including plugins that register tools or services. The project is currently an experimental developer preview. Its maintainers warn that compatibility-breaking changes will occur and that it has not received a security audit. Because agents can execute generated commands and access permitted files, processes, credentials and networks, the safety documentation recommends restricted privileges and isolated environments.

Stars

249K

Language

TypeScript

License

MIT

Momentum

+2.3% 7dEmerging

A macOS workspace for running and reviewing multiple coding agents side by side.

Self-hosted server that runs pi coding-agent sessions in isolated remote sandboxes you can reach from a terminal or phone.

Cognition's AI code editor, formerly Windsurf, for running and reviewing local and cloud coding agents from one app.

Desktop apps for running open LLMs locally, with a local API server and Bionic, an agent for documents, code and automation.

AI audio platform for text to speech, voice cloning, dubbing, music and voice agents, with a web app and a developer API.

Workflow automation platform for technical teams, with a visual editor, code steps, AI agent nodes, and cloud or self-hosted deployment.

Open-source tracing, evaluation and prompt management for LLM apps and agents, as a cloud service or self-hosted.

Shared support inbox and website chat widget for small teams, with an optional AI agent trained on your site, docs and FAQs.

Desktop development environment that runs several AI coding agents in parallel, one ticket and one Git worktree each.

AI support agent for website chat that answers from your help content with citations, runs approved tasks and hands off to people.

A free, open-source desktop video editor that AI agents drive over MCP while you watch each edit and can undo it.

A TypeScript framework for AI apps that run an open-weight model inside the app, offline and without an API key.

Open-source Python framework for multi-agent systems with peer-to-peer coordination, layered memory and a credential broker.

Cloudflare's open-weight decision models that return typed answers with probabilities, hosted on Workers AI.

Context.dev's scraping API that turns any URL into Markdown, HTML, JSON or screenshots for AI agents and apps.

A Mac app that shows Claude Code, Codex and other coding agents as status dots and lets you answer them from one Inbox.

Helps Claude write internal communications such as status reports, leadership updates, 3P updates, newsletters, FAQs, incident reports and project updates in a company's preferred formats.

Claude Code, Claude.ai, Claude API·★ 180K·checked Oct 4, 2026

Guides users through a structured process for writing documentation, proposals, technical specs, decision documents, and similar substantial content.

Claude, Claude Code·★ 180K·checked Oct 4, 2026