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Classic open-source OCR engine and CLI that reads text from images and outputs plain text, hOCR, searchable PDF or TSV. Supports 100+ languages; install the language data for each language you need.

All-in-one LLM fine-tuning framework: llamafactory-cli handles pretraining, SFT, PPO/DPO alignment and LoRA/QLoRA training, plus chat inference, weight merging and export, and OpenAI-style API serving for 100+ open models. Has a Web UI; training usually needs a GPU.

macOS cleanup and maintenance CLI (mo): clears caches and logs, fully uninstalls apps, analyzes disk usage, removes project build artifacts and shows system status. Preview deletions with --dry-run; disk analysis and status support JSON output. Needs macOS 12+.

Generates natively editable PPTX from PDFs, Word files, web pages and other sources, with native shapes, data charts and master layouts. Can also fill your own template and add animations and narration to finished decks. Needs Python 3.10+ and its dependencies.

Parses PDF, DOCX, PPTX, XLSX, HTML, images and audio, recovering layout, reading order, tables and formulas, and exports Markdown, HTML or lossless JSON. Started by IBM Research, now hosted by the LF AI & Data Foundation; runs fully locally.

Command-line toolkit for transcoding, cutting, joining, frame extraction and streaming of audio and video, including ffmpeg, ffprobe and ffplay. A core dependency for agents handling media. The GitHub repo is the official mirror.

'rsync for cloud storage': sync and copy files across dozens of providers such as S3, Google Drive, OneDrive and Alibaba Cloud OSS, with encryption and mounting. Set up remotes with rclone config before use.

Shapes the agent's replies for a reader with ADHD: lead with the next action, number multi-step work, restate progress every turn, hold back tangents, give concrete time estimates and make finished work visible. Turn it on with /i-have-adhd; it lasts until you say stop adhd mode.

From HKU's Data Intelligence Lab: plugins or skills for Claude Code, Codex and other agents generate agent-callable CLIs for apps like GIMP, Blender and LibreOffice, and the cli-hub package manager finds and installs ready-made community CLIs. Needs Python 3.10+.

Open-source crypto trading framework: download market data, backtest and optimize strategies, and paper trade from the CLI while agents iterate on strategies. Docker recommended; strategies need Python and live trading needs exchange API keys. Backtests don't guarantee returns.

General-purpose AI agent that runs on your machine, with a desktop app, CLI and API. Written in Rust, works with 15+ model providers and connects to 70+ extensions via MCP. Originally from Block, now part of the Linux Foundation's AAIF.

C/C++ port of OpenAI's Whisper speech recognition model that transcribes audio offline and outputs subtitles. Runs on CPU, with Apple Silicon and various GPU acceleration. Download a ggml-format model first.

Astral's extremely fast Python linter and formatter written in Rust, replacing Flake8, isort and Black, with 900+ built-in rules and auto-fix.

Teaches agents to read and write Obsidian vaults: Obsidian-flavored Markdown, Bases data views, JSON Canvas and the Obsidian CLI, plus Defuddle web content extraction and Knap template rendering. Maintained by Obsidian CEO kepano.

From Obsidian CEO Steph Ango (kepano): teaches agents to write Obsidian-flavored Markdown, Bases and Canvas files and work with vaults through the Obsidian CLI, plus skills like web page content extraction. Also installable into Codex and other agents via npx skills.

Terminal multiplexer: run multiple sessions and panes in one terminal, with processes surviving disconnects. Agents use it to host long-running tasks and drive interactive programs, and many parallel multi-agent session tools build on it.

Microsoft's open-source AI quant investment research platform: the qrun command runs dataset building, model training, backtesting and evaluation from a YAML config, with many benchmark models. The official dataset is paused, so prepare market data per the README first.

Ultra-lightweight, self-hosted personal AI agent framework in Python: WebUI, terminal and chat channels (Telegram, Discord, Slack, WeChat, Feishu, email), long-term memory, cron, MCP and multi-agent delegation; reads PDF and Office files. OpenAI-compatible or local models; Python 3.11+.

Collection of 2,400+ installable SKILL.md skills across development, security, cloud and ops, AI, marketing and more, with the AAS Core local MCP and an installer that help agents search, pick skills and preview install plans. Formerly antigravity-awesome-skills.

Free, open-source offline OCR desktop app for screenshots, batch images, scanned PDFs and QR codes, callable via the umi-ocr CLI or an HTTP API (the CLI relies on the app's local HTTP service, on by default). Windows and Linux only.

Open-source personal AI assistant and agent harness, formerly chatgpt-on-wechat: plans tasks, runs tools and skills, self-evolving memory and knowledge, multi-agent teams. Channels: WeChat, WeCom, Feishu, DingTalk, QQ, Telegram, Slack; any major model provider. One-line install and web console.

Universal document converter between dozens of formats including Markdown, Word, HTML, LaTeX and EPUB, with templates, citations and Lua filters. PDF output uses LaTeX by default, which you install separately.

Official Asana plugin in Claude's plugin marketplace: connects Claude Code to the Asana V2 MCP server to create and manage tasks, search projects, change assignees and track progress. Create your own Asana OAuth app first, then run /asana-setup after installing.

Anthropic's official Telegram channel plugin (research preview): connects a Telegram bot to a running Claude Code session so you can message the agent and get replies from your phone, with pairing and allowlist access control. Needs Bun and a BotFather token; launch with --channels.