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BirdNest Tech Talk
BirdNest Tech Talk
Jan 24, 2026 · Artificial Intelligence

How to Build an AI Comic‑Generating Agent with LangGraphGo and Skills

This article walks through constructing a multi‑step AI comic‑generation agent using the LangGraphGo framework and the GoSkills plugin system, covering architecture design, declarative tool definitions, automatic configuration discovery, parameter conversion, code implementation, common pitfalls, best practices, and performance optimizations.

AI agentsGoSkillsLLM tool integration
0 likes · 22 min read
How to Build an AI Comic‑Generating Agent with LangGraphGo and Skills
BirdNest Tech Talk
BirdNest Tech Talk
Jan 7, 2026 · Artificial Intelligence

How ManusAgent Uses Markdown Files to Overcome AI Context Limits

This article explains how the ManusAgent, built on LangGraphGo, combines a persistent three‑file Markdown workflow with a graph execution engine to solve AI context window constraints, detailing its design, implementation steps, core features, usage scenarios, and a side‑by‑side comparison with a simpler planning agent.

AI PlanningAgent architectureGo
0 likes · 17 min read
How ManusAgent Uses Markdown Files to Overcome AI Context Limits
BirdNest Tech Talk
BirdNest Tech Talk
Dec 9, 2025 · Artificial Intelligence

How BettaFish Uses Multi‑Agent AI to Break the Information Filter Bubble

BettaFish is a Go‑based, AI‑driven multi‑agent opinion analysis platform that tackles information silos, overload, and bias by aggregating data from diverse sources, iteratively refining results through reflection loops, and delivering visualized, actionable reports for scientific decision‑making.

AIData VisualizationGo
0 likes · 24 min read
How BettaFish Uses Multi‑Agent AI to Break the Information Filter Bubble
BirdNest Tech Talk
BirdNest Tech Talk
Dec 8, 2025 · Artificial Intelligence

How the New PEV Agent Pattern Boosts Reliable LLM Automation in Go

The article introduces the Plan‑Execute‑Verify (PEV) agent pattern added to langgraphgo, explains its three‑stage workflow, core features, configuration, concrete Go examples, implementation details, comparisons with ReAct and Reflection, and discusses best practices, limitations, and trade‑offs for high‑risk automation.

GoLLM agentsLangGraphGo
0 likes · 9 min read
How the New PEV Agent Pattern Boosts Reliable LLM Automation in Go
BirdNest Tech Talk
BirdNest Tech Talk
Dec 7, 2025 · Artificial Intelligence

Recreating DeerFlow’s Multi‑Agent Research Pipeline with LangGraphGo in 30 Minutes

This article walks through the open‑source DeerFlow framework—its multi‑agent architecture, core features, and a step‑by‑step implementation using the Go‑based LangGraphGo library, covering planner, researcher, reporter and podcast nodes, state‑graph design, CLI/web modes, and deployment instructions.

AI researchLLMLangGraphGo
0 likes · 14 min read
Recreating DeerFlow’s Multi‑Agent Research Pipeline with LangGraphGo in 30 Minutes
BirdNest Tech Talk
BirdNest Tech Talk
Dec 7, 2025 · Artificial Intelligence

How LangGraphGo’s First Week Delivered 7 Showcases, a Revolutionary PTC Feature, and 20K+ Lines of Code

The first week of the LangGraphGo project saw five version releases culminating in v0.5.0, the completion of seven full‑scale showcase replications, the launch of a groundbreaking Programmatic Tool Calling (PTC) package with up to ten‑fold performance gains, over 21,000 new lines of code, extensive bilingual documentation, and a fully deployed website and knowledge base, all backed by detailed metrics and community contributions.

AI agentsGoLangGraphGo
0 likes · 20 min read
How LangGraphGo’s First Week Delivered 7 Showcases, a Revolutionary PTC Feature, and 20K+ Lines of Code