Agents
LangChain is the most installed LLM framework in the Python ecosystem. It has more PyPI downloads per month than any competitor [VERIFY], more GitHub stars than most of them combined, and more complaints per star than anything in the space. LangGraph is its graph-based agent framework — the part of the
Agents
CrewAI is a Python framework for building multi-agent systems where you define agents with roles, give them tasks, and organize them into crews that execute workflows. It was created by João Moura, it has more than 25,000 GitHub stars [VERIFY], and it sits in the sweet spot between "
Agents
In March 2023, a developer named Toran Bruce Richards pushed a Python project to GitHub that became the fastest-growing repository in the platform's history. AutoGPT — recursive GPT-4 calls with memory and tool use — hit 100,000 stars in under two weeks [VERIFY]. People genuinely believed they were watching
Agents
OpenAI doesn't want you to use their API with a while loop and some prompt engineering. They want you to use their framework. The Agents SDK — which evolved out of the experimental "Swarm" project — is OpenAI's opinionated answer to the question of how you
Agents
Cognition Labs launched Devin in early 2024 with a claim that landed like a grenade in every developer community on the internet: the first AI software engineer. The demo showed an autonomous agent taking a task from a GitHub issue, writing code, running tests, debugging failures, and submitting a pull
Agents
In March 2023, AutoGPT hit GitHub and broke the star counter. The pitch was irresistible: give GPT-4 a goal, let it break the goal into tasks, let it execute those tasks, and watch it work autonomously. People genuinely believed general-purpose AI agents were weeks away from replacing knowledge workers. Three
Agents
You've decided to build an agent. The first fork in the road is whether you reach for a framework — CrewAI, LangGraph, AutoGen, OpenAI Agents SDK — or just write code against the model API directly. The framework demos look productive. The raw API approach looks like reinventing the wheel.
Agents
Claude Code started as a coding assistant. Somewhere along the way — through iterative model upgrades, MCP integrations, and a plan-execute-verify loop that actually works more often than not — it became the closest thing to a reliable coding agent anyone has shipped. The marketing doesn't say "agent"
Agents
Every AI agent demo works. That's not an exaggeration — it's a selection effect. You don't ship the demo where the agent hallucinates a tool that doesn't exist, spirals into a loop for eleven minutes, and produces output that's confidently wrong.