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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.

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

Drives Alibaba's open-source ocr CLI to review Git changes (working tree, a commit or a branch diff), grouping line-level comments by severity and fixing them on request. Needs an LLM endpoint (Anthropic, OpenAI and other protocols); installs the CLI if missing. By Alibaba.

Alibaba's open-source AI code review tool: reads the Git diff, groups changed files for parallel review by subagents and returns line-level comments; the plugin adds review and delegated review commands. Install the ocr CLI and configure a model first; delegated mode needs no API key.

Companion skill for the agent-browser CLI: has the agent load usage matching the installed version to navigate, fill forms, take screenshots and run exploratory tests, and can also drive Electron desktop apps. Install the agent-browser CLI first; from Vercel Labs.

Browser automation CLI built for AI agents in native Rust: open pages, click and fill forms by refs from accessibility tree snapshots, read text and take screenshots, with compact snapshots and output limits to save context. From Vercel Labs; reuses local Chrome or installs one.

Browser automation plugin from Vercel Labs: agents drive Chrome through accessibility tree snapshots and element refs to navigate, click, fill forms and take screenshots, for web testing and exploratory QA. Install the agent-browser CLI first (npm, Homebrew or Cargo).

Package manager for macOS and Linux: agents can brew install CLI tools and desktop apps (casks), or use brew bundle to restore a dev environment from a Brewfile.

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.

Alibaba's open-source AI code review CLI (ocr): a deterministic pass filters and groups files and matches rules, then an agent reads the context and writes line-level comments; ocr scan reviews a whole directory. Needs an LLM endpoint, or delegate mode to hand off to your coding agent.

AI pair programming in your terminal: builds a repo map of the whole codebase, auto-commits changes to git, works with Claude, DeepSeek, OpenAI and almost any other model including local ones, and can run lint and tests after edits.

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+.

Write slides in Markdown with built-in code highlighting, LaTeX math and Mermaid diagrams; slidev export outputs PDF, PPTX or PNG. Install playwright-chromium in the project before exporting.

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.

Indexes a codebase into a persistent knowledge graph with tree-sitter so agents can query call chains, impact, architecture and dead code across 162 languages. A single native binary that runs fully locally with no API key; the installer configures detected clients automatically.

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.

Has the agent build single-file HTML interactive playgrounds: visual controls on one side, live preview on the other, and a prompt to copy back into Claude. Templates for design tuning, data exploration, concept maps, doc annotation, code review and architecture diagrams. By Anthropic.

Connects Claude Code to a TypeScript/JavaScript language server for go-to-definition, find references and live type error checking. Install typescript-language-server globally first. Official Anthropic plugin.

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.

Official Anthropic plugin that reads local session logs in ~/.claude/projects and generates an interactive HTML usage report covering tokens, cache hit rate, subagents, skills and the most expensive prompts, with optimization tips. Needs Node.js.

Implements the Ralph Wiggum loop with a Stop hook: feeds Claude the same prompt repeatedly so it keeps iterating on its previous file changes until it outputs a completion marker or hits the iteration limit. Official Anthropic plugin.

Three layers of security checks on agent-written code: rule-based warnings on about 25 risky patterns during edits, a model review of the diff at turn end, and an agent tracing cross-file bugs like IDOR and SSRF at commit. Official Anthropic plugin; needs Python 3.8+ and model API access.

Official Anthropic plugin that builds a shareable status page for big multi-track projects such as migrations, launches or research: goals, workstream order, next steps and risks; say 'refresh' to update the same link. Needs a claude.ai login; Artifacts are a beta for Team and Enterprise plans.