#cross-session memory
136 related articles
·4 min
Spring AI Alibaba Graph in Practice: HR Recruitment Workflow Agent Design and Core Technical Analysis
Build an HR recruitment workflow Agent with Spring AI Alibaba Graph, covering resume parsing, job matching, tiered question generation, HITL checkpointing, and time travel state rollback across 20 core technical points.
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·3 min
GitHub Daily · July 10: The Agent Skills Ecosystem Explodes — AI Coding Enters the 'Skills Library' Era
July 10 GitHub Daily: The Agent Skills ecosystem explodes as over half of trending projects revolve around AI coding Agent skill libraries, with MCP as the standard interface.
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·2 min
Zero-Cost Multi-Agent AI System: A Complete Breakdown of the Free-Tier Build
A CS student built a multi-agent AI system with memory, 8 sub-agents, and real-time web research using only free infrastructure like Cloudflare Workers and GitHub Actions. Full breakdown inside.
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·7 min
Complete Guide to Training Small Models on Kaggle's Free Compute: GPU Quotas and Practical Tips
In-depth guide to Kaggle's free-tier compute: P100/T4 GPU with 30 hours/week quota, 12-hour sessions, suitable models like CNN and BERT fine-tuning, plus tips like mixed precision and checkpointing to start deep learning at zero cost.
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·7 min
6 Core Standards of a High-Value Agent Project That Impress Interviewers
Most Agent projects lack competitiveness in interviews due to missing business value and engineering depth. This article breaks down the 6 core standards of high-value Agent projects.
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·3 min
Getting Started with Codex: A Deep Dive Comparison of AI Coding Agents vs. Claude Code
A deep dive into AI coding agents like Codex and Claude Code — real-world comparisons, MCP protocol explained, and how these tools are transforming programming for developers and beginners alike.
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·4 min
AI Agent: A Complete 6-Week Learning Roadmap from Beginner to Production
A complete 6-week AI Agent learning roadmap covering core architecture (planning/memory/tool use), the ReAct paradigm, multi-agent collaboration, RAG integration, and production deployment.
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·6 min
Doubao and Qwen Retire AI Agents: How Compute Costs Are Reshaping AI's Commercial Boundaries
Doubao and Qwen have retired their AI Agent features. The real reason isn't regulation—it's that companion-chat users don't pay, making compute costs unrecoverable. A deep dive into AI's cost dilemma.
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·7 min
Fable AI Coding in Practice: Optimizing Reasoning Levels and Multi-Model Collaboration to Save Money
Hands-on guide: Use Anthropic's Fable model to optimize AI coding workflows — control reasoning levels, leverage Claude-Codex multi-model collaboration, and cut costs from thousands to $150.
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·7 min
Fable AI Coding in Practice: Optimizing Reasoning Levels and Multi-Model Collaboration to Cut Costs
How developer Theo used Anthropic's Fable model to rebuild his AI coding workflow — controlling reasoning levels, multi-model routing with Codex, and sub-agent orchestration to cut costs from thousands to $150.
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·6 min
LangChain 1.3 in Practice: A Complete Guide to DeepAgent Architecture and the Harness Philosophy
An in-depth look at LangChain 1.3's core modules and DeepAgent architecture—covering the Harness philosophy, LangGraph internals, HITL, memory management, and guardrails to master production-grade AI Agent development.
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·5 min
Context Graphs: The Key Technology for AI Agents to Remember and Reuse Past Decisions
Context Graphs use graph structures to store decisions, causal relationships, and outcomes, enabling AI agents to accumulate experience and reuse historical decisions without modifying model weights.
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·6 min
AI Agent Practical Guide: From Chatting to Directing — Building Fully Automated Workflows
AI use has three levels: Chat, Automation, and Agent. Learn how to use tools like Manus AI with a "director mindset" to build fully automated workflows — no technical background required.
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·6 min
AI Characters Crashing Real-World Parties? The Boundaries of Virtual Socializing Are Vanishing
A tweet about an AI character "attending" a July 4th party reveals how virtual and real-world social boundaries are dissolving. A deep dive into AI socialization, anthropomorphism, and attention scarcity.
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Why Does AI Take Such Bad Notes? A Dee…
·4 min
Why Does AI Take Such Bad Notes? A Deep Dive into the Limits and Trade-offs of LLM Memory
Why does Claude remember random junk? This deep dive explores how LLM memory systems work, their technical limits, privacy risks, and how to design AI that knows what to forget.
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·4 min
ctx: An Open-Source Tool for Searching Your Local AI Coding Assistant History
ctx is a local-first open-source tool that lets developers search and reuse conversation history from Claude Code, Cursor, and GitHub Copilot without uploading data to the cloud.
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·3 min
Three Fatal Flaws of AI Script Writing — and How MCP Services Fix Them
AI script development plagued by amnesia, blindness, and repeat errors? This article examines how MCP service tools — history nodes, node preprocessing, and an error library — systematically fix AI programming's structural flaws.
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·7 min
Harness Engineering: Core Methodology and Practical Guide for Enterprise-Level AI Programming
Can AI really replace programmers? This article explains Harness Engineering principles and its three evolutionary stages, revealing real pain points of enterprise AI programming.
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Morph Reflexes: Building Real-Time Beh…
·4 min
Morph Reflexes: Building Real-Time Behavioral Guardrails for AI Agents with Multi-Head Classifiers
Morph Reflexes is an open-source AI agent monitoring tool that uses multi-head classifiers for real-time trace classification — enabling safety guardrails, quality scoring, and training data filtering.
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·7 min
Spring AI 2.0 in Practice: A Beginner's Guide for Java Developers Building AI Agents
A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.
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