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Distributed data integration tool and Apache top-level project with 160+ connectors for batch, real-time and CDC sync. Define jobs in config files and run them on the built-in Zeta engine or on Flink or Spark. Requires Java.

High-accuracy retrieval-augmented Q&A over paper PDFs, text and Office documents, filling in citation metadata, checking retractions and attaching traceable sources to answers. Provides the pqa CLI and a Python library. Needs an LLM API key by default; local models can be configured.

Deep research assistant that runs locally with a built-in MCP server: searches arXiv, PubMed, Wikipedia and more over multiple rounds and writes cited reports. Needs Python 3.12+, uv and an LLM (local Ollama or an API key); web search needs SearXNG or similar. Runs take minutes to half an hour.

Terminal tool for exploring and wrangling tabular data: opens dozens of formats including CSV, JSON, Excel and SQLite for filtering, sorting, pivots and frequency counts. --batch mode replays actions headlessly or converts file formats.

Say build a harness for this project and it designs a domain-specific agent team, generating subagent definitions, companion skills and orchestration, validates them and keeps evolving them from feedback. Supports workflow orchestration, persistent agent teams and subagent delegation.

Turns outlines or scripts into web slides that present in the browser (not .pptx files), with 36 themes and 15 full deck templates; press S for presenter mode with script and timer. Good for lessons, training and reports. Plain local files; no account or API key needed.

Manage database schemas as code: declare the desired schema in SQL, HCL or your ORM and Atlas plans, lints and applies migrations, and can export existing databases as HCL, SQL or Mermaid ER diagrams. Supports PostgreSQL, MySQL and a dozen other databases.

Converts the output of 100+ commands such as dig, ps, ls and ifconfig, plus common file formats, into JSON so agents can parse it reliably with jq or scripts. Also usable as a Python library.

Turns Peng Sida's public research-writing notes into a skill: revises abstracts, introductions, methods and experiments of ML/CV/NLP papers from a reviewer's view, checks that each claim has experimental evidence, and runs a pre-submission self-check. Pure methodology, no API key.

Offline speech toolkit for Apple Silicon Macs: CLI text-to-speech (including Chinese and voice cloning) and speech-to-text, for voicing lessons and explainer videos or transcribing lectures and interviews, with data staying local. Needs an M-series Mac and Python 3.10+; MP3 export needs ffmpeg.

Query, modify and convert JSON, YAML, TOML, XML, CSV, HCL, INI and more with one selector syntax, editing config files in place or converting between formats, handy for agents handling structured data in scripts. A single dependency-free binary that works much like jq or yq.

Diffusion model inference in pure C/C++: one sd-cli command runs SD, FLUX, Qwen Image, Wan and more locally to create or edit images and short videos, with Metal acceleration on Mac. No cloud needed; bring your own model weights and use a release binary or build from source.

Build with OpenAI best practices inside Codex: call the OpenAI API, build and deploy agents with the Agents SDK, create ChatGPT apps and prepare submission materials, and create API keys directly. Maintained by OpenAI; Codex only.

OpenAI's official Codex plugin that makes Google Drive the single entry point to search, organize, share and export files, handing Docs, Sheets, Slides and comments to dedicated sub-skills for summaries, edits and new files. Authorize your Google account in Codex.

OpenAI's official Codex plugin that uses the local API of the Zotero desktop app to search your library, export BibTeX, insert citations into LaTeX or Markdown drafts, and import new references after you confirm. Requires Zotero desktop.

OpenAI's official Codex plugin for Outlook mail: triages your inbox, summarizes threads, extracts action items, and drafts replies or forwards, for people who handle heavy email loads. Requires Codex with a ChatGPT sign-in and an authorized Microsoft account.

Turns conversations and notes into structured Notion pages such as team wikis, how-to guides, decision records and FAQs, linked to related pages. From OpenAI's official plugin repo (developer: Notion); needs the Notion MCP.

Notion's plugin in OpenAI's official Codex marketplace: uses the Notion connector and hosted MCP to search and update workspace pages, with skills for spec-to-implementation plans, research write-ups, meeting prep and knowledge capture. Codex only; needs Notion authorization.

OpenAI's official Codex plugin that uses the Gmail connector to search mail, read threads, draft replies and tidy your inbox. The plugin bundles no extra skills; authorize your Google account in Codex.

Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins.

Scrapes web pages into Markdown or structured data, with full-site crawling, sitemaps, web search and interaction with dynamic pages. Maintained by Firecrawl; the cloud needs an API key (self-hosting is possible), and the keyless hosted endpoint only offers scrape, search and parse.

Command-line email client supporting IMAP, SMTP, JMAP, Gmail and Microsoft Graph, with multiple accounts and --json output, so agents can check, search, compose and send mail. A first-run wizard auto-detects your mailbox settings.

Claude Code workspace for long-form SEO blogging: /research, /write, /rewrite and /optimize handle keyword research, drafting, refreshes and pre-publish checks, with SEO, metadata and internal-link subagents. Clone the repo and add brand voice; optional GA4, Search Console and WordPress.

Open-source LLM evaluation platform: one opencompass command picks the model and datasets and runs the evaluation across hundreds of benchmarks. Works with local Hugging Face models and API models, with vLLM and LMDeploy for faster inference.