LangChain

AI-powered email assistant demonstrating ambient agent patterns.

Facilitates dynamic multi-agent communication in LangGraph framework.

Enables distributed tracing and observability for AI applications.

Enhances LangGraph with semantic search for AI-driven retrieval.

Deploy agents using LangGraph Platform's scalable infrastructure.

Standard interface for agent communication and interoperability.

Flexible resource grouping and accessibility within workspaces.

Iterate on prompts in real-time for LLM applications.

Custom monitoring charts for tracking application metrics.

Collections of traces for AI application observability.

Enhances understanding of complex data relationships for precise insights.

Feature for applying organization-wide prompt standards efficiently.

Interactive tool for developing and refining AI prompts.

An open-source library for automated prompt optimization.

Server for deploying and managing AI agent applications.

Scalable infrastructure for deploying AI agent applications.

Enhances LLM reliability with observability and evaluation tools.

Enables rapid iteration with dynamic few-shot example selection.

Provides low-level control over agent memory in LangGraph.

Collates traces from multiple threads into a logical view.

Allows users to search for specific events within large traces.

Enhances LangSmith's ability to handle large volumes of trace data.

Visual tool for configuring and customizing LLM-powered agents.

Tool for evaluating and optimizing AI agent performance.

Platform for deploying, monitoring, and revising AI agent workflows.