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Русский(RU) От LLM к агенту: Как заставить Go приложение думать и действовать Всё началось с доклада про AI-агентов. Заинтересовало настолько, что решил написать своего на

Developer builds AI agent in Go using LangChainGo and GigaChat

A developer shares their experience building an AI agent in Go, inspired by a talk on AI agents. The project involved creating a custom agent using LangChainGo, integrating tools, and connecting with GigaChat. The process was challenging but ultimately successful, with the developer sharing their insights on the implementation. AI

IMPACT Provides a practical guide for developers on integrating LLMs into applications using Go and specific tools.

RANK_REASON Developer shares technical insights and experience building an AI agent, akin to a technical blog post or tutorial. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

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Developer builds AI agent in Go using LangChainGo and GigaChat

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] ·

    From LLM to Agent: How to Make a Go Application Think and Act It all started with a report on AI agents. It was so interesting that I decided to write my own on

    От LLM к агенту: Как заставить Go приложение думать и действовать Всё началось с доклада про AI-агентов. Заинтересовало настолько, что решил написать своего на Go. Было сложно, но получилось! Делюсь опытом: LangChainGo, инструменты, цепочки, MCP и интеграция с GigaChat. https:// …