#AI智能体
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AI Compliance Review: Can Agents Audit Documents Against Association Standards?
Can AI agents automatically review member documents against association standards? This article examines the core challenges, ideal workflow, and the case for human-AI collaboration.
Pay-Per-Use for AI Agents: How Bedrock AgentCore Is Reshaping Inference Billing
Amazon Bedrock AgentCore payments enables AI agents to pay per inference via the x402 protocol. BlockRun cut x402 integration from months to days, with infrastructure-enforced spending limits.
MCP vs. API: Understanding the Tool Protocol Behind AI Agents
What's the difference between MCP and API? This article uses intuitive analogies to explain how Model Context Protocol differs from traditional APIs — and why they complement rather than replace each other.
OpenAI DevDay Deep Dive: GPT-6.1 Sol, the Always-On Agent Dots, and More
OpenAI DevDay unveiled GPT-6.1 Sol (1/5 the price of Astra), always-on agent Dots, the Space productivity platform, and a Decisions API — all aimed at making AI work for you autonomously.
WorkBuddy Beginner's Guide: Interface, Three Modes, and Task Creation Walkthrough
A beginner's guide to WorkBuddy: learn the 3-zone interface, Craft/Plan/Ask modes, 8-step task creation flow, and 6 elements for writing effective task descriptions.
The Complete Guide to Gemini Spark: How Google's AI Agent Automates Your Daily Life
Gemini Spark is Google's AI Agent deeply integrated into its ecosystem, supporting scheduled recurring tasks and cross-service automation. Learn how it differs from Gemini Chat and see three real-world use cases.
AI Agents Explained: From Claude to Devin, How Intelligent Agents Are Reshaping Computing
A complete guide to AI Agents: from OpenAI, Claude, and Gemini to Devin, Manus, and Cursor. Learn how agents work, the major players, and 5 key dimensions to evaluate them.
SMART KS: The AI System That Keeps Mainframe Knowledge From Disappearing
SMART KS by InCommData is an AI knowledge system for mainframes. Built on SmartTSXL, it retrieves COBOL, JCL, and data with full audit trails and crystallizes AI answers into persistent organizational knowledge.
MCP Server Impersonation Attacks: How AI Agents Get Their Credentials Stolen by Fake Servers
MCP server impersonation lets malicious servers pose as legitimate services, tricking AI agents into handing over credentials and leaking data. Learn how mTLS, TLS, and certificate pinning defend against it.
Open-Source AI Moves Off the Cloud: A Deep Dive into 10 Local Deployment Tools
A roundup of 10 local-deployment open-source AI tools — including Airllm, LocalAI, OpenAI Codex, and Beads — building a complete on-device AI stack for privacy, cost control, and autonomy.
How to Constrain AI Agents? Omnigent Policies Enable Dual Control Over Cost and Behavior
How can AI agents be prevented from overspending or executing dangerous actions? Omnigent policies enforce spending limits, tool restrictions, and session-level cumulative risk tracking — automatically triggering human approval when thresholds are reached.
Higgsfield: Let AI Agents Manage Their Own Compute to Reinvent Creative Production
At OpenAI DevDay 2026, Higgsfield CEO Alex Mashrobov explains how to build AI agents that self-manage GPU compute for continuous video generation, auto-editing, and enterprise creative workflows.
Agent.reviews: A Review Platform Built for AI Agents to Read and Write
Agent.reviews lets AI agents read and write tool reviews. We break down the concept, how it differs from traditional reviews, and community debates on credibility and manipulation risk.
LangChain Releases Managed Deepagents v0.9: AI Agents That Work Like Real Team Members
LangChain's Managed Deepagents v0.9 introduces agent-created schedules, per-run dynamic config, and Slack reactions — letting AI agents work like real team members.
Cherry Studio Hands-On Tutorial: Building a Local Knowledge Base and AI Agent
Step-by-step guide to building a local knowledge base and AI agent with Cherry Studio: API key setup, embedding model selection, prompt writing, and knowledge base binding — no coding required.
Monetizing AI Agents: Turning Repetitive Business Tasks into Paid Services
YouTube tech creator Tim argues AI agents are a new monetizable skill: take tasks businesses already pay for—research, reports, Q&A—and rebuild them as AI services.
TokenOps: Using Data Science to Reduce AI Agent Token Costs
Microsoft's Chief Data Science Officer introduces TokenOps — using data science to manage AI agent token costs through cache reuse, efficiency funnels, and S-curve investment models.
Velozity: An All-in-One Workspace for Teams and AI Agents to Work Together
Velozity hit #1 on Product Hunt by uniting team chat, meetings, tasks, and AI agents like Claude and Codex in one shared-context workspace — free to start, no second AI bill.
Databench: An Open-Source Collaborative AI Agent Workspace for Data Teams
Databench by Alkera is an open-source multiplayer AI agent workspace for data teams, featuring real-time collaboration, parallel agents, and full result traceability.
Wabi: The AI Messaging App That Builds Its Own Apps
Wabi, from Replika founder Eugenia Kuyda, is a new AI messenger that dynamically creates apps and completes tasks in-chat — aiming to be the OS for the agent era.