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Reactor
Self-hosted agent that researches across walled gardens
Hey Product Hunt — I'm the maker of Reactor.
I built this because a research question still lives in six gardens. Reddit threads, X, YouTube transcripts, HN, plus Bilibili / Xiaohongshu / V2EX for CN topics. Search APIs mostly don't see them. Chat products each cover one fence.
Reactor is open source and self-hosted. You give a goal; it plans, calls tools, checks results, and revises on failure. Vague ask → it stops and asks. Plan Mode: until you approve, it may only research and write the plan — no DB writes, no code, no report. Hard tasks split to sub-agents (wait, or background).
Tools: web search, RAG, sandbox code, charts, docs. NL2SQL uses Table RAG, then previews SQL. Collectors run in parallel so community threads and public pages share one citation list. Private PDF/Word/PPT/images are parsed/OCR'd and cited the same way. MCP tools stay as names until the agent asks for a schema.
Memory is not the whole chat dumped into the prompt. Facts inject every turn; history is retrieved on demand; reusable workflows live as SKILL.md.
Output lands in the thread (charts, tables, canvas) or exports to PDF/Word/PPTX/HTML.
What I actually use it for:
1. Brief before a meeting — last ~30 days of public posts, cited
2. Data analysis / a simple backtest
3. Competitor teardown with high-vote comments
4. Trip notes from Xiaohongshu/Bilibili
Stack: Java 21 + Spring AI harness, Python sidecar, React workbench. Docker Compose in the repo. Bring your own LLM endpoint (local or remote).
Repo: https://github.com/OWWZO/ai-agent
Would love honest takes on Plan Mode and the Java/Python split — not looking for upvotes, looking for "this part is wrong."
About Reactor on Product Hunt
“Self-hosted agent that researches across walled gardens”
Reactor was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #50 on the daily leaderboard. 一个面向全网研究与复杂数据分析的云端智能体，能在公开网络、YouTube、BiliBili、X、小红书、Hacker News上研究任何主题 。项目wiki：https://zread.ai/OWWZO/ai-agent - OWWZO/ai-agent
On the analytics side, Reactor competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Reactor performed against the three products that launched closest to it on the same day.
Who hunted Reactor?
Reactor was hunted by 王纯纯. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Reactor including community comment highlights and product details, visit the product overview.
王纯纯