LangChain OSS
@LangChain_OSS
Ship reliable agents with our open source frameworks – LangChain, LangGraph, and Deep Agents. Maintained by @LangChain.
LangChain Community Spotlight: DealScout 🤝⚔️ An open-source multi-agent system that automates VC due diligence via adversarial debates. Agents research startup claims, debate findings, then synthesize recommendations. LangGraph orchestrates the multi-agent workflow. 🔗 GitHub:…
LangChain Community Spotlight: 🕹️ VibeC64 Made by the LangChain Community AI agent creating C64 games from prompts. Built on LangGraph for design, coding, validation & deployment to hardware/emulators. Features multi-modal debugging to analyze screens and auto-fix bugs. 🎮 Try…
LangChain Community Spotlight: 🧠 HMLR: Long-Term Memory for AI Agents Made by the LangChain Community HMLR adds long-term memory to AI agents via LangGraph drop-in. Perfect RAGAS scores on hardest benchmarks using GPT-4.1-mini, maintains context across days/weeks without token…
confused about when to use LangChain vs LangGraph vs Deep Agents? new docs break down the stack: * LangChain = quickly build agents and autonomous applications * LangGraph = low-level control over agent orchestration * Deep Agents = long-running complex tasks…
Give your deepagents memory with the new /remember command!
🧠Shipping /remember in the Deep Agents CLI: a primitive for persistent agent memory How it works: - inject a reflection prompt into your conversation thread - agent analyzes full context + identifies patterns - writes learnings to filesystem (AGENTS .md for preferences, skills/…
youtube.com
YouTube
Introducing /remember: Teaching Agents to Learn from Experience
🧠Shipping /remember in the Deep Agents CLI: a primitive for persistent agent memory How it works: - inject a reflection prompt into your conversation thread - agent analyzes full context + identifies patterns - writes learnings to filesystem (AGENTS .md for preferences, skills/…
youtube.com
YouTube
Introducing /remember: Teaching Agents to Learn from Experience
⚡️Stream subagent updates in deepagents! 🤖 deepagents support using subagents to dive deep, which helps boost performance on complex tasks ⏰Only issue is, subagents can be slow, and you want to show the user progress updates! 📚 New docs: docs.langchain.com/oss/python/lan…
Agents are folders so you can download and run them in seconds with Deep Agents! Take a look at how you can run a custom blog writing agent with a just few commands
Download+Run agents in seconds with...curl??⚡️ Yup...Deep Agents are just folders so we can - package them up - download them - run them with just a couple commands & the deepagents-cli here I download an agent from our deepagents examples that comes with Skills for…
Get started building multi-agent applications with just a few lines of code w/ Deep Agents!
@Vtrivedy10 and I just cooked up a blog on designing multi-agent apps with deepagents! Two patterns we keep coming back to: 👬 Subagents: spin off complex tasks with isolated context 💡 Skills: only load specialized instructions when they're actually relevant…
deepagents --agent goated_agent Swap agents in seconds with Agent Profiles in deepagents Filesystems are a core primitive of our agents. Easily define agent memory as prompts and skills in a folder. Then you can edit your agents just by editing their files Agents as folders…
Building a multi-agent system with a supervisor and subagents? Check out our latest video to learn how to optimize context for all agents involved!
New video on designing systems with subagents 🤖🔧 Subagent architectures are fantastic for providing specialized agents with isolated context (so they can focus and do one thing well). In just a few minutes we cover a bunch of design decisions you'll have to make like tool…
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YouTube
Building with Subagents: Design Decisions
🎯 Headroom: Context Optimization Layer Made by the LangChain Community Headroom cuts LLM costs 50-90% through compression. Integrates with LangChain retrievers, agents, memory via HeadroomChatModel. Results: 60% RAG savings, 85% fewer agent tokens. Proxy/SDK deployment. 🔗…
🎓🎬 Eduly Made by the LangChain Community Eduly turns academic papers into short-form educational videos for social media. Built on LangChain's Deepagents framework, it autonomously generates and debugs Manim animation code through iterative self-correction. Check out the…
🎨🤖 DeepAgents Open Lovable Made by the LangChain Community An open-source platform that turns natural language into React apps. Built on DeepAgents & LangGraph, it uses sub-agents for complete frontends with live preview & one-click deployment. Created by Emanuel Eielo 🔗…
🔮 Agentic Engineering Outlook 2026 Made by the LangChain Community Jan 20 panel on where agentic AI is headed in 2026. Karan Singh (LangChain) + production, research, VC perspectives on innovation, oversight, and opportunity in agentic systems. 📅 Join 103+ developers:…
🗄️ deepagents-backends Made by the LangChain Community Production-ready storage backends for LangChain Deep Agents. Store files in AWS S3 or PostgreSQL instead of ephemeral state, enabling persistent storage, distributed execution, and multi-agent collaboration. Check it out:…
🎓💼 Self-Taught AI Engineer's Career Roadmap Made by the LangChain Community Learn how one engineer moved from real estate to AI via "domain arbitrage"—blending tech + industry expertise. His LangChain project CondoGPT secured his first AI role. 📺 Watch the full guide:…
🩺 sklearn-diagnose Made by the LangChain Community AI-powered diagnosis for scikit-learn. Detects failure modes via three-agent LangChain architecture that analyzes metrics and generates evidence-based reports with confidence scores and recommendations—read-only. Check it…
build an agent with native support for Skills, Memory, and a Filesystem in just a few lines of code with deepagents
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