Tencent ima (ima.copilot) is an AI knowledge workspace that turns documents and web clippings into a searchable personal knowledge base.
腾讯 ima 智能工作台 is Tencent’s AI-powered “second brain” product, built on its Hunyuan large model. Users collect articles, PDFs, notes and web pages into a knowledge base, then ask questions and get answers grounded in their own material with citations. It supports long-document reading and summarization, AI note-taking during study or work, and full-text semantic search across the collection. The product is available on desktop and mobile and integrates with WeChat reading and sharing habits.
ima is freemium: core knowledge base features are free, with paid tiers for larger storage, higher AI usage quotas and advanced model access.
Chinese students, researchers and professionals who read heavily and want an AI-powered place to store, search and interrogate their material.
Graduate students collect dozens of papers and ask ima to extract findings and citations for a literature review. Professionals save industry articles from WeChat and later query the collection when writing reports. Managers upload policy and product documents and answer team questions from the knowledge base. Learners summarize long study materials into revision notes.
Start by saving ten to twenty quality documents around one topic — the semantic search only impresses once the collection has depth. Use the question-answering mode with citations to verify answers against sources. Organize collections by project so retrieval stays scoped to what is relevant.
Prefer fewer, better documents; noisy clippings degrade answer quality. Use summaries as starting points and read the cited originals before quoting anything externally.
Yes, a generous free tier exists; heavier AI usage and storage require a paid upgrade.
Not currently — it is a consumer/client product rather than a developer platform.
Versus Notion AI or Mem, ima is free-to-start and deeply localized for Chinese content and WeChat workflows.
ima handles PDFs, Word documents, web articles, images of text and content saved from WeChat, all searchable semantically once ingested. Long documents are parsed and summarized automatically, and answers cite the specific source passages. For best retrieval quality, keep each collection focused on one topic and prefer authoritative sources over casual clippings.
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