AI

Open-source AI pair programming in your terminal. Works with any LLM - Claude, GPT, Gemini, local models. Git-aware editing with automatic commits.

Open-source AI code assistant for VS Code and JetBrains. Bring your own model - local or API. Tab autocomplete, chat, inline edit. Fully customizable.

High-performance code editor built in Rust with native AI integration. Sub-millisecond input latency. Built-in assistant supports Claude, GPT, and local models.

Full-stack AI dev environment in the browser. Describe an app, get a deployed project with database, auth, and hosting. No local setup needed.

AI coding assistant with deep codebase context. Indexes your entire repo graph for accurate answers. VS Code and JetBrains extensions. Free tier available.

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.

LLM data framework for connecting custom data sources to language models. Best-in-class RAG, data connectors, and query engines. Python and TypeScript.

Anthropic's AI. Opus 4.6 for hard problems, Sonnet 4.6 for speed, Haiku 4.5 for cost. 200K context window. Best coding model I've tested. Max plan ($200/mo).