langchain
7 saves·entity·peaked week of Jul 10, 2023
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Building a Harness with Jev Agents run in a loop: an LLM decides what to do, a tool executes, a model evaluates the results, and then continues in that loop until the task is complete. Agents and L…
@sydneyrunkle·Sep 18, 2026↗
Own Your Intelligence: A How-To Guide By @sonyatweetybird, @gradypb, and @w1tness1ngh The race for the AI application layer is not only about UI, workflows, or GTM... it is a fight for the intellig…
@sonyatweetybird·Aug 17, 2026↗
Continual Learning for Agents Everyone talks about Continual Learning as if it means one thing only: updating model weights. But there's an inconvenient truth about the agent ecosystem — the vast ma…
@pirroh·Jul 6, 2026↗
An AI assistant tailored for executive workflows, built with LangChain, to help generate and manage executive-ready outputs.
@langchain-ai·Apr 7, 2026↗
langchain is ahead here https://t.co/oigM9qwEpE
@jeffreyhuber·Jan 15, 2026↗
Our new Developer Guides are here 🔥 Learn how to integrate Firecrawl with popular LLM frameworks like @langchain, automate workflows with @n8n_io, and new MCP quickstarts for AI code editors like @…
@firecrawl·Oct 23, 2025↗
6 months ago it looked like AI / LLMs were going to bring a much needed revival to the venture startup ecosystem after a few tough years. With companies like Jasper starting to slow down, it’s look…
@samhogan·Jul 16, 2023↗