LangChain

LLM application framework

agentsintermediateFree tier

Overview

LangChain is an open-source framework for building applications with LLMs. Features chains, agents, RAG pipelines, and tool use. Supports Python and JavaScript. LangSmith (paid) adds observability and evaluation. The de facto standard for LLM app development.

Best For

+LLM app development
+RAG systems
+AI agents
+Prototyping

News & Updates

Developer Seeks Real-World Examples of Deep Agents for Non-Coding Tasks

Is anyone using deep agents (LangChain or others like Claude Code, Codex) internally in their company or for real work that is non-coding?I'm building one for a specific task, mainly to run through cron (but users can also chat/ask/provide feedback), and I'm trying to understand best practices.Can anyone share any examples? I'd like to see something that is not a research agent, a coding agent, or a data/financial analyst agent, but something that does real wo

BREAKTHROUGHS3/5/2026

Open Memory Spec (OMS) & Context Assembly Language (Cal) Launched for AI Agents

Developers introduced the Open Memory Specification (OMS) and Context Assembly Language (Cal) to standardize memory formats across AI agent frameworks like LangChain, CrewAI, and AutoGen. OMS defines a binary container format (.mg) using SHA-256 content-addressed memory grains and deterministic MessagePack serialization, similar to Git objects. This solves the current problem where each framework uses proprietary memory formats, preventing portability, tamper verification, and regulatory compliance for data deletion.

NEW_TOOLS3/4/2026

Network-AI Launches Atomic Blackboard to Unify LangChain, CrewAI, AutoGen, MCP

A developer released Network-AI, an open-source coordination layer that solves multi-agent system problems like agents overwriting state and lacking permission boundaries. It provides a shared atomic blackboard with proposevalidatecommit, AuthGuardian for permissions, FederatedBudget for token ceilings, and 12 plug-and-play adapters for frameworks like LangChain, CrewAI, AutoGen, and MCP. This allows developers to mix AI frameworks without being locked into one, addressing common pain points in building complex agent systems.

NEW_TOOLS3/3/2026

Dev Bootstraps AI Agent from Bash Script, No Framework, on Fresh Linux VM

A developer created 'Agent from Scratch,' a bash script that bootstraps an OpenClaw-like AI agent from a single copy-paste on a fresh Linux VM. The script prompts for an API key, instructs the model to generate a REPL with a tool-use loop, and drops the user directly into the running agent. This demonstrates that complex agentic workflows can be built from minimal starting code without relying on heavyweight frameworks like LangChain or LlamaIndex.

NEW_TOOLS3/3/2026

Security scan of 277 AI agent skills reveals widespread vulnerabilities

A security researcher scanned 277 AI agent skills from platforms like LangChain and AutoGPT, identifying multiple security vulnerabilities in production systems. The scan revealed issues including exposed API keys, insecure code execution, and data leakage risks across various agent implementations. This exposes the fragile security foundation of the rapidly expanding AI agent ecosystem that many companies are building upon.

other3/3/2026

New 'Browser Action Engine' for AI Agents Claims 10× Speed Boost, Resilient Design

A new 'browser action engine' for AI agents has been announced, claiming to make them 10 times faster than previous solutions. The engine is described as 'resilient by design,' suggesting it handles errors and web variability better than existing tools. This directly challenges current agent frameworks like LangChain or AutoGPT, which often struggle with slow, brittle browser interactions.

other3/2/2026

Ductwork: Go Platform for Deploying AI Agents on Cron-Like Schedules

A developer built Ductwork, a Go-based platform specifically for deploying Claude AI agents that run autonomously on schedules. The platform addresses the gap where existing frameworks like LangChain focus on chat interfaces, not persistent automation tasks like monitoring crypto news or syncing Todoist. This enables developers to create "set-and-forget" AI agents that operate without manual intervention, similar to cron jobs.

NEW_TOOLS3/1/2026

Rust-Powered Krira Chunker Cuts RAG Processing Time 40x vs. LangChain

A developer released Krira Chunker, a document chunking library for RAG pipelines built with a Rust core and Python bindings. It benchmarks at 40x faster than LangChain's pure Python implementation and maintains O(1) memory usage regardless of document size. This directly addresses a major performance bottleneck in production RAG systems where LangChain's chunker becomes slow and memory-intensive at scale.

NEW_TOOLS2/28/2026

Agoragentic Launches Agent Marketplace for LangChain, CrewAI & MCP

A developer posted 'Agoragentic' to Hacker News, introducing a marketplace where AI agents built with LangChain, CrewAI, or MCP can be discovered and connected. The platform aims to facilitate agent-to-agent interactions, allowing developers to find and integrate specialized agents into their workflows. This addresses a key friction point in multi-agent system development, where finding and connecting compatible agents is often a manual process.

other2/27/2026

Agent Sandboxes Benchmark Released, Compares AI Agent Performance Across Platforms

A new benchmark for evaluating AI agents called 'Agent Sandboxes' has been published, providing standardized testing across different agent platforms. The benchmark measures performance metrics like task completion rates, reasoning accuracy, and tool usage efficiency in simulated environments. This creates the first apples-to-apples comparison framework for the fragmented agent development ecosystem, allowing developers to objectively choose between platforms like AutoGPT, LangChain, and CrewAI.

BREAKTHROUGHS2/27/2026

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