Chronological feed of everything captured from Harrison Chase.
Three voice-agent backends (LiveKit, OpenAI Realtime, Google ADK Live) sharing one console interface, each instrumented for LangSmith. Stars: 10
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.. Stars: 1610
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open-mcp-client. Stars: 1642
CLI to generate LangGraph stubs from a specification. Stars: 108
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Ultrafast serverless GPU inference, sandboxes, and background jobs. Stars: 1650
An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.. Stars: 1789
Deep research agent to help you find the best GitHub repositories 🕵️!. Stars: 870
langgraph-agents-with-amazon-bedrock. Stars: 187
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An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI. Stars: 6255
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The Tavily Python SDK allows for easy interaction with the Tavily API, offering the full range of our search, extract, crawl, map, and research functionalities directly from your Python programs. Easily integrate smart search, content extraction, and research capabilities into your applications, harnessing Tavily's powerful features.. Stars: 1187
A user note designates Harrison Chase's X feed as the subject of an hourly polling mechanism. The phrase "Why not?" endorses or questions the absence of such polling. This suggests real-time monitoring of Chase's posts for intelligence or updates.
Harrison Chase is running an hourly poll on his X feed focused on his own posts, inviting users to participate. This serves as a community engagement tactic. It directs traffic to LangChain's careers page for recruitment.
ListenLabs employs self-reviewing feedback subagents, sandboxed environments, and purpose-built abstractions in their AI agent architecture. Their system supports large-scale response analysis. Discussion highlights key decisions enabling scalable agent performance.
Harrison Chase publicly thanks Jacob in response to an hourly poll tracking his X feed activity. The content indicates ongoing monitoring of Chase's posts on an hourly basis. This reflects community engagement around his updates.
A user note designates Harrison Chase's X feed (@hwchase17) for hourly polling to capture timely updates. The instruction requests tagging upon release of the compiled feed output. This setup enables automated, frequent monitoring of Chase's posts for editorial intelligence.
DeepAgents is positioned as an all-in-one solution for agent development, providing batteries-included convenience alongside extensive hooks for customization. It enables developers to adjust components precisely to their needs without starting from scratch. The framework is highlighted in Harrison Chase's feed as a key advancement in deep agent technology.
Harrison Chase confirms the existence of a LangChain skills repository mirroring Anthropic's skills structure, specifically at langchain-ai/langchain-skills/config/skills. This addresses a query for DeepAgents skills similar to the claude-api skill. The repository enables building apps with LangChain/DeepAgents more effectively via pre-configured skills.
Harrison Chase confirmed the availability of LangChain skills configurations in a dedicated GitHub repository. The repo at langchain-ai/langchain-skills contains a config/skills directory for these resources. This enables developers to access and contribute to standardized skill definitions for LangChain applications.
Harrison Chase predicts significant activity on his X feed coinciding with Tadeo Donegan's San Francisco visit for the LangChain Interrupt event (May 9-16). The comment "everyones gonna be here!" in an hourly poll context suggests expectation of community influx. This aligns with Donegan's open invitation for AI, agents, and production discussions.