0xmariowu

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

Transcribe video/audio URL or local file to text + SRT using yt-dlp + Groq Whisper API (free tier). Preferred default for v2 transcription. Returns raw text and segments; summary is caller's responsibility.

Use for Chinese community forum discussions on Baidu Tieba when query involves Chinese tech topics, product feedback, or hobby communities not covered by xiaohongshu/zhihu.

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

Explicit loop state for multi-round research — maintains gaps, visited URLs, bad URLs, failed-evaluator feedback, and decides whether to fire another round of queries or stop. Inspired by WebThinker's in-band search protocol, node-deepresearch's agent.ts state, and Scira's extreme-search.

Use for public Discourse-based community discussions, especially Linux DO, when queries need Chinese AI/dev forum posts and native operator troubleshooting.

Interactive browser automation (click, type, wait, screenshot, navigate) for dynamic pages that need user-like actions — pagination, login, form submission, infinite scroll. Uses Microsoft's official @playwright/mcp server; no autosearch-side Python. Use when fetch-jina and fetch-crawl4ai still cannot get the content.

Generate questions from 3-6 stakeholder / expert personas to expand coverage before searching. Complements decompose-task (which splits by task structure) by splitting by viewpoint. Borrowed from STORM's pre-writing research pattern — asking "what would an investor / a security researcher / an end-user / a maintainer" each want to know.

Represent a research plan as a directed graph — nodes are sub-questions, edges are "answer-depends-on" dependencies. Independent nodes can be executed in parallel; downstream nodes wait for their predecessors. Borrowed from MindSearch's WebSearchGraph pattern. Replaces list/tree decomposition for plans with non-linear dependencies.

Chinese-language podcasts searchable via the Apple iTunes store public API.

Append a single skill-execution event to the per-skill `experience/patterns.jsonl` file. Runs every time a leaf skill is used. Append-only — runtime AI never reads this file directly; only the compacted `experience.md` digest. Fast tier, no LLM required.

Transcribe video/audio URL or local file to text + SRT using yt-dlp + OpenAI Whisper API. Paid fallback for v2 transcription when Groq is rate-limited or unavailable. Returns raw text and segments; summary is caller's responsibility.