Peng Qian articles - 20 total
Most “agent memory” setups just save everything and hope semantic search will fix it. I share a pattern that works better: ✅ Use an LLM to decide what is worth remembering ✅ Store memories in RedisVL ✅ Run memory extraction in parallel with asyncio
Advanced RedisVL Long-term Memory Tutorial: Using an LLM to...
Advanced RedisVL Long-term Memory Tutorial: Using an LLM to Extract Memories
Introduction In this weekend note, we keep talking about how to build long-term memory for...
Tried RedisVL as a memory layer for AI agents: ✅ Short-term memory with MessageHistory: works great 😒 Long-term semantic memory with SemanticMessageHistory: not so much If you are thinking about RedisVL for agent memory, this will save you time:
Build Long-Term and Short-Term Memory for Agents Using RedisVL ...
Build Long-Term and Short-Term Memory for Agents Using RedisVL
Introduction For this weekend note, I want to share some tries I made using RedisVL to add...
🎯As companies keep rolling out agent systems internally, issues like prompt injection attacks and tricking agents into breaking the rules are starting to pop up. It’s becoming urgent to build compliance safeguards for these agents.
Microsoft Agent Framework (MAF) Middleware Basics: Add...
Microsoft Agent Framework (MAF) Middleware Basics: Add Compliance Fences to Your Agent
Introduction Microsoft added a middleware feature to their Agent Framework (MAF). This...
My Agent System Looks Powerful but Is Just Industrial Trash
This weekend note is a bit late because Phase One of my Deep Data Analyst project failed for now....
Make Microsoft Agent Framework’s Structured Output Work With Qwen and DeepSeek Models
Introduction Today, we’ll add some extra features to the Microsoft Agent Framework so that...
A Quick Guide to Containerizing Agent Applications with Podman
Introduction For enterprise-level agent applications, the best way to safely run code...
Share My LLM Prompts and Tips That Make Work and Learning Super Efficient
A lot of friends ask me how I manage to stay busy with work every day, yet still find time to learn...
Exclusive Reveal: Code Sandbox Tech Behind Manus and Claude Agent Skills
This tutorial will use a more general approach to fully recreate the core tech behind code sandboxes...
How To Use DeepSeek-OCR And Docling For PDF Parsing
This is a hands-on guide that explores how to use DeepSeek-OCR with docling for PDF parsing inside an...
How I Crushed Advent of Code And Solved Hard Problems Using Autogen Jupyter Executor and Qwen3
In today’s tutorial, I will use Autogen’s docker-jupyter-executor runtime with Qwen3’s newest max...
I Used Autogen GraphFlow and Qwen3 Coder to Solve Math Problems — And It Worked
In this tutorial today, I will show you how I used Autogen’s latest GraphFlow with the Qwen3 Coder...
Use LLamaIndex Workflow to Create an Ink Painting Style Image Generation Workflow
In today's article, I'll help you build a workflow that can generate ink illustrations with strong...
Monitoring Qwen 3 Agents with MLflow 3.x: End-to-End Tracing Tutorial
Let's face it - most multi-agent application tutorials online these days are toys. Running them...
Build AutoGen Agents with Qwen3: Structured Output & Thinking Mode
This article will walk you through integrating AutoGen with Qwen3, including how to enable structured...
Fixing the Agent Handoff Problem in LlamaIndex's AgentWorkflow System
LlamaIndex AgentWorkflow, as a brand-new multi-agent orchestration framework, still has some...
Integrating LlamaIndex and DeepSeek-R1 for reasoning_content and Function Call Features
In today's article, I'll show you how to use LlamaIndex's AgentWorkflow to read the reasoning process...
Diving into LlamaIndex AgentWorkflow: A Nearly Perfect Multi-Agent Orchestration Solution
This article introduces you to the latest AgentWorkflow multi-agent orchestration framework by...