LangChain

OpenAI Built an AI to Hack Its Own Code—Here’s What It Found

a16z Deep Dives

Used to manage context and data from threat intel datasets during analysis.

How To Hire AI Engineers (ft. James Brady and Adam Wiggins of Elicit)

Latent Space

Mentioned in the context of discussions around standardization and abstractions in the rapidly evolving AI space.

2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents

Latent Space

A framework for developing applications powered by language models, noted for its continued growth in downloads and usage, distinguishing itself from projects with high stars but low practical adoption.

High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor

Latent Space

An LLM framework mentioned in the context of interacting with Instructor and the broader LLM ecosystem.

Agents @ Work: Dust.tt — with Stanislas Polu

Latent Space

A competitor to Dust.tt in the developer tooling space for AI.

Agents @ Work: Lindy.ai (with live demo!)

Latent Space

Mentioned as a comparison point for Lindy AI's ease of use, analogous to the relationship between Airtable and MySQL.

Personal AI Meetup - Bee, BasedHardware, LangChain LangFriend, Deepgram EmilyAI

Latent Space

A framework for building LLM applications, with a focus on memory and personalization, presented by Harrison.

Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph

Latent Space

A framework for developing applications powered by language models, discussed as a tool for connecting various models and components.

The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org

Latent Space

A framework mentioned in the context of structured output prompting.

AI Dev 25 x NYC | Nyah Macklin: How to Structure Context to Make Your Agents Smarter

DeepLearningAI

The Four Wars of the AI Stack - Dec 2023 Recap

Latent Space

Mentioned as a company in the RAG (Retrieval-Augmented Generation) space.

The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph

Latent Space

An external tool for building LLM applications, which Sourcegraph decided against using due to needing full control over their stack for rapid iteration.

NVIDIA CEO Jensen Huang GTC 2026 Full Keynote

Yahoo Finance

A framework for developing applications powered by language models, noted for a billion downloads for creating custom agents, joining the Neimotron coalition.

Beating GPT-4 with Open Source Models - with Michael Royzen of Phind

Latent Space

A framework for developing applications powered by language models. Their work on evaluating RAG systems and potential structured evaluation platforms is noted.

Powering your Copilot for Data - with Artem Keydunov from Cube.dev

Latent Space

A framework for developing applications powered by language models, with which Cube has an integration.

The AI Coding Factory

Latent Space

A framework mentioned as not being used by Factory AI, though they use Langsmith.

Sleep-Time Compute — Letta AI (Charles Packer, Charlie Snell, Kevin Lin)

Latent Space

A framework mentioned as having a relaunched memory component, relevant to background agent implementations.

AI Dev 25 | Harrison Chase: Long Term Memory with LangGraph

DeepLearningAI

Why Every Agent needs Open Source Cloud Sandboxes

Latent Space

A popular agent framework with millions of downloads, despite some developers questioning its popularity.

The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot

Latent Space

An open-source framework for developing applications powered by language models, mentioned in the context of memory solutions for agents.

npm install Agents — with Sunil Pai and Rita Kozlov (VP AI) of Cloudflare

Latent Space

A framework mentioned as an alternative or existing toolset for building agents, contrasting with Cloudflare's approach of providing infrastructure rather than a competing library.

smol agents are all you need

Latent Space

A framework mentioned in relation to the essay on AI agents written by Harrison Chase.

Agent Engineering with Pydantic + Graphs — with Samuel Colvin, CEO of Pydantic Logfire

Latent Space

An AI agent framework that was among the early adopters of Pydantic. Pydantic AI is presented as a competitor with a focus on production readiness and engineering quality.

Why every AI Engineer needs an AI Gateway (ft Portkey.ai CEO)

Latent Space

A framework for developing applications powered by language models, mentioned as an alternative that can lead to unmanageable code if not handled by a gateway.