เรียนรู้
คู่มือเชิงปฏิบัติสำหรับการรัน AI agent ในโปรดักชัน: สถาปัตยกรรมรันไทม์, รูปแบบการประสานงาน, การเลือก framework และโมเดลภัยคุกคามของเอเจนต์
Best AI Agent Frameworks (2026 Comparison)
Compare the best AI agent frameworks: OpenLegion, OpenClaw, LangGraph, CrewAI, AutoGen, Semantic Kernel. Side-by-side features, security, and pricing.
AI Agent Observability — Tracing, Costs & Failure Modes
AI agent observability covers traces, costs, prompt versioning, and failure modes for autonomous agents in production. Why it differs from app observability — and what to track.
AI Agent Orchestration — Coordinate Agents
Container-isolated multi-agent runtime with fleet-model coordination (blackboard + pub/sub + handoff), credential vaulting, and per-agent budget controls.
AI Agent Platform — Deploy Secure Agents
OpenLegion is a managed AI agent platform with container isolation, credential vaulting, and budget controls. Bring your own LLM API keys.
AI Agent Security — Threats, Isolation, Vaults
AI agent security guide: credential leakage, prompt injection, sandbox escape, and how container isolation, vault-proxied credentials, and budget controls mitigate each threat.
Model Context Protocol (MCP) — How AI Agents Use Tools
Model Context Protocol (MCP) is Anthropic's open standard for letting AI agents discover and call external tools. How it works, security caveats, and OpenLegion's MCP support.