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#AI Agent

6 posts

Use CasesDoubao WorkLinkly AI Notes

Doubao Work + Linkly AI: How Much Can One Prompt Do?

Three ways to use Doubao Work with Linkly AI: save ideas from your phone, connect research papers, and organize teaching materials for a promotion review.

User StoryWorkBuddyWeCom

User Story: We Built a WeCom AI Teammate with WorkBuddy + Linkly AI

How a real user connected scattered team knowledge with Linkly AI and turned it into a WeCom AI teammate with WorkBuddy in under 30 minutes.

Releasev0.5.0Cloud Knowledge Base

Cloud Knowledge Bases Are Here

Linkly AI v0.5.0 introduces cloud knowledge bases, allowing selected local libraries to stay online 24/7 and be shared with more Agents.

CLIAI AgentCommand Line

Why the Command Line May Be the Most AI-Agent-Friendly Interface

Claude Code, Codex CLI, Gemini CLI — top AI companies have independently converged on the command line. This isn't nostalgia; it's because CLI is naturally suited to AI Agents across three dimensions: composability, predictability, and auditability.

Local-FirstAI AgentPrivacy

Why We Believe Local-First Is Becoming More Important in the AI Era

AI multiplies both the value and the risk of your data. Meanwhile, local compute power, the AI agent toolchain, and your own digital assets are all pointing toward the same conclusion: local-first is not a fallback—it's the future.

Outlines Index: A Progressive Disclosure Approach for Feeding Documents to AI Agents
Outlines IndexProgressive DisclosureAI Agent

Outlines Index: A Progressive Disclosure Approach for Feeding Documents to AI Agents

Traditional RAG splits documents into chunks and feeds them to AI. We took a different approach: build a structured outline for each document, letting AI browse like a researcher — scan the table of contents, navigate to relevant sections, then read precisely.