Trending Open-Source GitHub Projects Lightpanda Browser, Kero, Hob, Floorplan & Duckpad #305 Transcript, AI Summary & Key Points

Agent Reach is an open-source command-line capability layer for AI agents. It selects, installs, configures, checks, and routes tools that let command-line agents read and search websites and services including web pages, YouTube, RSS, GitHub, Twitter/X, Reddit, Bilibili, Facebook, Instagram, Xiaohongshu, LinkedIn, V2EX, and Xueqiu. It uses an ordered list of backends for each channel and probes them for actual availability, selecting the first usable option and reporting failures and repair guidance through `agent-reach doctor`. The repository lists integrations such as Jina Reader for web pages, yt-dlp for YouTube transcripts, `gh` for GitHub, feedparser for RSS, Exa through mcporter for web search, and alternative CLI or browser-session-based routes for sites requiring authentication. Agents invoke the upstream tools directly rather than through a data-wrapping layer. The CLI supports environment checks, explicit system installation, dry runs, updates, and uninstalling. Credentials and cookies are documented as being stored locally in `~/.agent-reach/config.yaml` with owner-only permissions; authenticated services may require user-provided cookies or browser sessions. The project is distributed under the MIT license.

ai-phone is a SIP phone daemon for macOS on Apple Silicon that lets an AI agent handle incoming calls or place outgoing calls from configured instructions. It runs speech recognition with Parakeet and speech synthesis with Phonon or Kokoro locally through MLX; the conversation can use a local MLX language model, a Claude Code or Codex subscription, or an OpenAI-compatible endpoint. Phone audio travels over SIP/RTP, while a remote language model receives call text, instructions, and conversation history. After setup, the daemon is controlled with the `ai-phone run` and `ai-phone call` commands. Relay mode exposes JSON-based `say`, `listen`, and `hangup` commands so an external agent can control each turn, and outgoing calls return a transcript when they end. It supports direct SIP addresses and telephone connections through Telnyx, Twilio, SignalWire, or another SIP trunk; the current implementation supports English and one call at a time. The project is distributed under AGPL-3.0-or-later, with bundled PJSIP interface files under GPLv2-or-later.

BAMA is a set of agent skills for researching, cloning, designing, building, optimizing, and testing native macOS applications with Swift and SwiftUI. Its workflow has the agent open and screenshot a reference app, create a screen index, turn the screens into user stories with checkable acceptance criteria grouped into milestones, and implement one story per commit. Before commits it snapshots pages in light and dark mode and runs tests. Skills cover app bootstrapping, market and design research, computer-use-based cloning, Swift and SwiftUI development, macOS integrations, performance, architecture, design systems, layout checks, app icons, building, and testing; an optional command-line and MCP server can let agents or scripts drive the app. The repository also includes build plans for small Mac utilities. It is distributed as installable skills for Claude Code, Codex, Cursor, Gemini CLI, and other compatible agents, and is licensed under the MIT License.

Dossier is a self-hosted, single-user job-search application from AienTech. It keeps career history in one profile, generates a base resume, reads job postings, matches their requirements against the profile, and drafts a tailored resume, cover letter, and application email. Its drafts are constrained to facts in the profile; missing qualifications are shown as gaps rather than invented experience. Documents can be refined through chat, exported as PDFs, and tracked on a board and table from draft to offer. It can search postings through JSearch, Adzuna, or FreeHire, optionally run a daily job search that scores new postings and prepares drafts for review, and connect to Gmail and Google Calendar for confirmed sending, reply drafting, and interview scheduling. An optional MCP connector allows Claude or another MCP application to search jobs, score postings, read the profile and applications, and save generated documents as drafts without sending or deleting anything. Dossier runs on a personal computer or self-hosted server with Docker, Node.js, CapRover, Coolify, or Dokploy. It stores data in PostgreSQL and supports local models through Ollama or LM Studio, as well as hosted models through OpenAI-compatible APIs, Anthropic, or Mistral. The project is free software under the GNU Affero General Public License v3.0.

Duckpad is an open-source visual SQL workspace powered by DuckDB. It turns data sources into visual pipelines that can be composed from connections, joins, reusable components, guided forms, and SQL in an integrated editor. Users can explore pipeline results and select a valid cell to trace its contributing source values through explicit lineage. Projects can run on the user's infrastructure, be saved to Git, branched independently, compared visually, and reviewed before merging. Duckpad is distributed as a Python package with a local interface; it requires Python 3.11+ and Git, and is MIT licensed.

ECC is an MIT-licensed open-source agent-harness performance system maintained by affaan-m. It packages reusable skills, specialized agents, project rules, commands, hooks, memory, and security tooling for Claude Code as its primary target, with supported or limited adapters for Codex, Cursor, OpenCode, Gemini, Zed, GitHub Copilot, and other coding harnesses. Its core workflow turns plan, test, implement, review, verify, remember, and improve into reusable agent workflows. Skills are loaded for tasks such as test-driven development, research, security review, end-to-end testing, documentation, and refactoring; agents isolate planning, implementation, and review; rules provide always-loaded project or language standards; and hooks run event-triggered checks and session automation outside the model context. The optional Memory Vault stores inspectable Markdown handoffs and session context, while AgentShield scans agent files, hooks, MCP configurations, permissions, prompts, and secrets for security risks. ECC can be installed from its repository or through the ecc@ecc Claude Code plugin and ecc-universal package. The repository also provides selective installers, native or project-local integrations for several harnesses, a desktop dashboard, and the optional ecc-agentshield security-auditing package. Feature parity varies by harness: GitHub Copilot receives instructions and reusable prompts but not ECC hooks or agent delegation, while Codex has a native marketplace plugin with a narrower hook model.

ESP32 Labs is a React-based interactive bench guide for learning the ESP32-S3 microcontroller. It provides 32 hands-on labs with live pinout views, wiring instructions, flash commands, browser-based simulators, a 3D DevKitC-1 board, a bench log, and a code reader for the associated PlatformIO firmware. The code reader offers guided tours, execution stories, line explanations, and a phrasebook for the C++ used in each lab. It also includes a cited, maker-focused ESP32-S3 datasheet reader covering pins, peripherals, memory, clocks, and power modes. The guide supports English, French, Spanish, Italian, German, Polish, Turkish, Simplified and Traditional Chinese, Japanese, and Arabic, with progress stored locally in the browser. It is a Vite-built React application deployable to Vercel and is an independent learning project, not affiliated with Espressif.

Floorplan is a Claude Code and Codex plugin that scans one or more codebases and generates an interactive, plain-English map of an application. It follows files, imports, routes, screens, web requests, endpoints, data and outside services, including connections across repositories; users can zoom from the whole application to individual files and endpoints, start from a screen, ask questions that produce traced mini-maps, and export the result as an HTML file. Its health check looks for issues such as secrets in source or browser code, publicly readable Supabase tables, open Firebase rules, fakeable Stripe webhooks and unauthenticated endpoints, without displaying secret values. The tool re-reads only changed files, records recent AI-assisted changes, and can create a blueprint from a PRD or specification before code exists. The scan, map and local server run on the user's machine, with questions handled through the user's Claude Code or Codex account; it requires Node.js 18+ and has no dependencies, hooks, MCP servers or install scripts. The repository is licensed under MIT.

Hob is a free, open-source desktop application from Frigade for running open-weight AI models locally on macOS, Windows, and Linux. Built with Electron and Llama.cpp, it provides an alternative to hosted assistants such as Claude and ChatGPT and can fill out PDFs, work through documents, analyze spreadsheets, and create charts. Hob selects an open-weight model suited to the user's computer and sets it up for local, private, offline use. It is distributed under the MIT license.

Kero is a cross-platform native terminal application for running coding agents and development processes on macOS, Windows, and Linux. It runs Claude Code, Codex, development servers, and test watchers in separate persistent sessions, grouping those sessions by project in a sidebar with working, waiting, idle, error, and exited states. Sessions run in the kerod daemon, so they continue after the application window closes and reopen with their panes and scrollback. Its CLI can create sessions, split panes, type into them, wait for processes, and read terminal screens. Kero can also connect to remote hosts over SSH or Tailscale, uses libghostty for terminal rendering, and is distributed under the MIT license.

Lightpanda Browser is a headless browser built from scratch in Zig for AI agents and web automation. It is not based on Chromium, Blink, or WebKit; its implementation includes an HTML parser, V8 JavaScript support, a DOM tree and APIs, network loading, cookies, form input, proxy support, network interception, and optional robots.txt compliance. It can dump pages as HTML, Markdown, PNG, or PDF, or expose a Chrome DevTools Protocol and WebDriver BiDi server for clients such as Puppeteer and Playwright. Its native agent mode uses an LLM to navigate pages, click through flows, fill forms, and extract structured data. Sessions can be exported as deterministic, token-free PandaScript JavaScript and replayed without a model at runtime. The browser also provides an MCP server over stdio or HTTP, with isolated or shared browsing sessions for multiple agents. The project distributes nightly binaries for Linux and macOS, Docker images for Linux amd64 and arm64, and packages for Homebrew and the Arch User Repository. It can also be built from source with Zig and its V8, Libcurl, and html5ever dependencies.

OpenMausBot is an open-source, local-first chat application for managing a team of AI bots as separate contacts. Each bot can have its own personality, model, conversation thread, computer, and connected applications, using agents launched through locally installed Claude, Codex, or Grok command-line tools and existing user logins. A local harness server on 127.0.0.1 manages agent processes, transcripts, keys, and events in the user's local OpenMausBot data directory. Bots can work through a cloud Linux desktop, an isolated local virtual machine, or—where supported—the host computer. Shell commands, file edits, and questions are routed through a permission broker and shown as approval or response cards. The application includes model selection, bot and conversation management, browser-accessible desktop takeover, and connected applications through Composio, including services such as Gmail, Slack, GitHub, Notion, and Linear. The repository provides desktop distributions for macOS, Windows, and Ubuntu, with Ubuntu Wayland host control disabled according to the README while a stated issue is resolved.

OpenRig is an open-source, self-hosted multi-agent harness for coordinating AI coding agents such as Claude Code and Codex as one managed team. It uses a local daemon, CLI, terminal UI, MCP server, SQLite, tmux, and runtime adapters. Users define agent topologies in YAML with pods, seats, communication edges, and continuity policies, then use commands such as `rig up`, `rig send`, `rig broadcast`, `rig chatroom`, `rig down --snapshot`, and `rig discover`/`rig adopt` to launch, coordinate, inspect, snapshot, restore, or take over existing sessions. Its MCP tools let agents manage their own topology, while the TUI exposes topology, seat, project, feed, terminal, and system views. OpenRig requires Node.js and tmux; herdr, cmux, and Docker are optional for terminal workspaces and service-backed rigs. It is distributed through the `@openrig/cli` npm package and licensed under Apache 2.0.

A novelty GitHub webhook project that prints a repository star-giver's GitHub profile picture on a thermal receipt printer. A star event sends a payload through a Cloudflare Tunnel to a PHP script running on a Raspberry Pi; the script obtains the star-giver's display name and avatar URL, renders the avatar behind a photo-frame cutout with additional receipt information, and sends the formatted output through the escpos-php library to an Epson TM-T88IV printer connected by USB. The project is intended to frame and display the printed profiles on the maintainer's wall.

Skills for Real Engineers is an open-source collection of small, composable agent skills by Matt Pocock for disciplined software development with Claude Code, Codex, and other coding agents. The skills support requirements clarification, project-language setup, test-driven development, debugging, code review, specification, planning, triage, and codebase surveys. The collection includes skills such as `/grill-me` and `/grill-with-docs`, which question the user about a proposed change before implementation, and a setup skill that configures an issue tracker, ticket labels, and documentation storage for a repository. It can be installed as a managed Claude Code plugin or copied into a project as editable files through the `skills` installer; the skills are intended to work with any model and can be adapted by the user.

Tellyscope is an Android app written in Kotlin that manages Android TV and Google TV devices, with stated support for NVIDIA Shield and Fire TV, from a phone over Wi-Fi. It uses ADB and supports network debugging and Android 11+ wireless debugging with pairing codes to debloat devices, install APKs and app bundles, transfer files, control the TV remotely, change launchers, block ads with Private DNS, adjust animations, clear caches, and inspect CPU, RAM, storage, temperature, processes, and network use. Debloating disables built-in apps rather than uninstalling them, shows the affected apps first, records changes in per-TV history, protects essential apps, and provides undo and restore functions; apps installed by the user can be uninstalled. The app requires Android 8.0 or newer on the phone, does not require root or a PC, and states that it has no ads, tracking, or accounts. It is distributed as an APK through GitHub Releases and is licensed under the GNU GPLv3.

Video to Game is an open-source skill for coding agents that turns a short gameplay video into a playable Three.js browser game. The agent studies the video frame by frame, extracts a visual specification, generates matching images, 3D models, sound effects, and music through fal, writes the game as a standalone HTML file, and then playtests and records it with keyboard scenarios. It is distributed for Claude Code, Codex, Cursor, Gemini CLI, Copilot, and other agents through skill installation or copying. The workflow requires Python 3.9+, ffmpeg, Node 18+, Playwright Core, and a fal API key; the repository is MIT-licensed.

VoiceStudio is an open-source, fully local desktop application for voice cloning and design, text-to-speech, transcription, dictation, video dubbing, and long-form audio production. It runs on macOS Apple Silicon, Windows, Linux, or Docker and keeps voices, projects, settings, and generated files on the machine by default. The application combines a Tauri desktop shell, a React and Vite interface, and a local FastAPI backend with registries for multiple TTS and ASR engines. Its workflows can transcribe and translate video, preserve speaker assignments, synthesize replacement speech, render audiobook chapters, separate vocals, diarize speakers, process batch jobs, and route work to CPU, CUDA, Apple Silicon MPS/MLX, ROCm, or optional remote workers. It also exposes local REST, SSE, WebSocket, OpenAI-compatible audio, and MCP interfaces, including speech synthesis and transcription endpoints. VoiceStudio is licensed under AGPL-3.0; downloaded models and tokenizers retain their own licenses. The local workflow requires no account, API key, subscription, or usage meter, although remote workers, configured external ASR endpoints, analytics, and other network-backed functions are opt-in. The repository describes the software as an active beta and distributes packaged desktop releases as well as source code.

Zero Breach Toolkit is a free, open-source Python scanner for traces of known mercenary spyware, including Pegasus, Predator, Graphite and Candiru. It checks Windows, macOS and Linux computers, AndroidQF collections, and local iPhone or iPad evidence such as encrypted backups, extracted file systems and sysdiagnose archives. The toolkit compares browser, application, system, startup, network, log, file and phone records with published indicator lists. It is read-only with respect to the scanned evidence and system settings, produces readable and JSON reports with evidence grades and coverage gaps, and does not make network requests during ordinary scans. Indicator updates and optional Android collection are separate operations. A clean result is not presented as proof that a device is safe because the scanner only detects published indicators and cannot check every artifact or identify new or unpublished spyware. The project runs from source with Python 3.8 or newer and does not require administrator access for standard checks. Its code is licensed under Apache License 2.0; curated indicator files are released under CC0 1.0, while externally downloaded indicator lists retain their publishers' terms.