Agents
AI Agents & Frameworks brings this topic into one place so the full arc is easy to follow. Start anywhere, or move through the pieces in order to build a cleaner read on agents. The Series Agent Reliability: Why Demos Work and Production Doesn'tCustomclankerClaude Code as Agent: What
Agents
The term "AI agent" appears in every pitch deck, product page, and launch tweet in 2026. It meant something specific in AI research for decades. Then the industry got hold of it, and now it means whatever the marketing team needs it to mean this quarter. An LLM
Agents
Every agent comparison post you've read online follows the same pattern: list the features, quote the benchmarks, declare a winner. This one doesn't. We ran the same five real-world tasks through Claude Code, Devin, and a custom agent built on OpenAI's Agents SDK, tracked
Agents
AutoGen is Microsoft's open-source multi-agent framework, and you can tell Microsoft built it within about thirty seconds of reading the documentation. That's not entirely a criticism. AutoGen's design choices — conversation-first agent interaction, structured dialogue patterns, human approval gates, audit trails — make more sense if
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"