AGENTS

OpenAI's flagship. GPT-4o for general use, o3 for reasoning, Codex for coding. 300M+ weekly users. Tasks, agents, web browsing, DALL-E, code interpreter.

Configure Claude Code for maximum productivity -- CLAUDE.md, sub-agents, MCP servers, and autonomous workflows.

Claude Code now has a native Loop feature for scheduling recurring prompts - from one-minute intervals to three-day windows. Fix builds on repeat, summarize Slack channels, email yourself Hacker News digests. All from the CLI.

State-of-the-art computer use, steerable thinking you can redirect mid-response, and a million tokens of context. GPT 5.4 is OpenAI's most capable model yet.

Anthropic dropped a batch of updates across Claude Code and Cowork - remote control from your phone, scheduled tasks, plugin repos, auto memory, and stats showing 4% of GitHub public commits now come from Claude Code.

Anthropic brought git worktrees to Claude Code. Spawn multiple agents working on the same repo simultaneously - no merge conflicts, no context pollution, and your main branch stays clean.

Anthropic's agentic coding CLI. Runs in your terminal, edits files autonomously, spawns sub-agents, and maintains memory across sessions. Powered by Claude Opus 4.

OpenAI's coding agent for terminal, cloud, IDE, GitHub, Slack, and Linear workflows. Reads repos, edits files, runs commands, and returns reviewable diffs.

Codeium's AI-native IDE. Cascade agent mode handles multi-file edits autonomously. Free tier with generous limits. Strong alternative to Cursor.

Cognition Labs' autonomous software engineer. Handles full tasks end-to-end - reads docs, writes code, runs tests, and submits PRs in an isolated sandbox.

The TypeScript toolkit for building AI apps. Unified API across OpenAI, Anthropic, Google. Streaming, tool calling, structured output, multi-step agents. 50K+ GitHub stars.

Frontend stack for agent-native apps. React hooks, prebuilt copilot UI, AG-UI runtime, frontend tools, shared state, and human-in-the-loop flows.

Anthropic's Python SDK for building production agent systems. Tool use, guardrails, agent handoffs, and orchestration. Released alongside Claude 4.

Most popular LLM framework. 100K+ GitHub stars. Chains, RAG, vector stores, tool use. LangGraph adds stateful multi-agent workflows with cycles and persistence.

Gives AI agents access to 250+ external tools (GitHub, Slack, Gmail, databases) with managed OAuth. Handles the auth and API complexity so your agent doesn't have to.

Lightweight Python framework for multi-agent systems. Agent handoffs, tool use, guardrails, tracing. Successor to the experimental Swarm project.

Multi-agent orchestration framework. Define agents with roles, goals, and tools, then assign them tasks in a crew. Python-based. Great for complex workflows.

TypeScript-first AI agent framework. Agents, tools, memory, workflows, RAG, evals, tracing, MCP, and production deployment for Node.js apps.