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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.

AI-native code editor forked from VS Code. Composer mode rewrites multiple files at once. Tab autocomplete predicts your next edit. Pro plan is $20/mo.

OpenAI's cloud coding agent. Runs in a sandboxed container, reads your repo, executes tasks, and submits PRs. Uses GPT-5.3 (codex model). Available in ChatGPT.

Google's open-source coding CLI. Free tier with Gemini 2.5 Pro. Supports tool use, file editing, shell commands. 1M token context window.

The original AI coding assistant. 77M+ developers. Inline completions in VS Code and JetBrains. Copilot Workspace generates full projects from issues. $10/mo.

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

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.

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.

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

Deployment platform behind Next.js. Git push to deploy. Edge functions, image optimization, analytics. Free tier is generous. This site runs on Vercel.

Reactive backend - database, server functions, real-time sync, cron jobs, file storage. All TypeScript. This site's backend (courses, videos, user data) runs on Convex.

CDN, DNS, DDoS protection, and edge computing. Free tier handles most needs. This site uses Cloudflare for DNS and analytics. Workers for edge compute.

Drop-in auth for React/Next.js. Pre-built sign-in UI, session management, user profiles, org management. This site uses Clerk for authentication.

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).

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.

Anthropic's smallest Claude 4.5 model. Near-frontier coding performance at one-third the cost of Sonnet 4 and up to 4-5x faster than Sonnet 4.5. $1/$5 per million tokens.

Alibaba's flagship open-weight coding model. 480B total parameters, 35B active (MoE). Native 256K context, scales to 1M. Apache 2.0 license. State-of-the-art agentic coding.

AI coding platform built for large, complex codebases. Context Engine indexes 500K+ files across repos with 100ms retrieval. Intent desktop app orchestrates parallel agents.

OpenAI's open-source terminal coding agent built in Rust. Runs locally, reads your repo, edits files, and executes commands. Powered by o3 and o4-mini models.

Open-source terminal coding agent from Moonshot AI. Powered by Kimi K2.5 (1T params, 32B active). 256K context window. Agent Swarm runs up to 100 parallel sub-agents.

Autonomous coding agent inside VS Code. Creates files, runs commands, uses the browser, and debugs visually. 5M+ installs, 60K GitHub stars. Open-source and free.

Multi-agent orchestration framework built on the OpenAI Agents SDK. Define agent roles, typed tools, and directional communication flows. Production-focused, open-source.

Type-safe Python agent framework from the Pydantic team. Brings the FastAPI feeling to AI development. Composable tools, durable execution, and full IDE autocomplete.

Structured data extraction from any LLM using Pydantic models. Automatic retries, validation, and streaming. 3M+ monthly downloads. Available in Python, TypeScript, Go, Ruby, and Rust.

Open-source AI orchestration framework by deepset. Modular pipelines for RAG, agents, semantic search, and multimodal apps. Pipeline-as-graph architecture with explicit control.

Visual testing tool for Model Context Protocol servers. Like Postman for MCP - call tools, browse resources, and view real-time logs in a browser UI. Zero install via npx.

Lightweight CLI for discovering and calling MCP servers. Dynamic tool discovery reduces token consumption from 47K to 400 tokens. Three subcommands: info, grep, call.

Centralized manager for MCP servers. Connect once to localhost:37373 and access all your servers through a single endpoint. REST API, web UI, and VS Code config compatible.

Run 50,000+ ML models with a simple API. No infrastructure management. Pay-per-second billing. Deploy custom models with Cog. Popular for image generation and audio.

Wafer-scale AI inference at 3,000+ tokens/sec. The WSE-3 chip has 4 trillion transistors and 900K AI cores. 20x faster than GPU providers. OpenAI partnership for inference.

Open-source OpenAI API replacement. Runs LLMs, vision, voice, image, and video models on any hardware - no GPU required. 35+ backends. Distributed mode for scaling.

Keyboard-first Mac launcher with built-in AI. 32+ models, 1,500+ extensions, clipboard history, window management, snippets. Replaced 4 apps in my workflow. Free tier available.

AI-powered terminal assistant from AWS. Natural language chat, command autocompletion, code generation. Agentic mode reads files, runs commands, and calls AWS APIs. Free tier.

AI-powered context manager that remembers your code, snippets, links, and project context across IDEs, browsers, and terminals. Local-first with 9 months of memory. Free.

C++ inference engine for LLMs. GGUF format, quantization, CPU and Metal/CUDA support. The foundation most local tools build on.

MCP server directory and ranking site. Tracks weekly downloads, GitHub stars, and build status across 5,000+ servers.

Pythonic framework for building MCP servers. Decorators for tools, resources, and prompts. Officially incorporated into the Python SDK.

Bridge that exposes stdio MCP servers over HTTP/SSE, or vice versa. Run a local server remotely, or connect to a remote server as if it were local.

Interactive TUI dashboard that shows exactly where your Claude Code and Cursor tokens are going, in real time.

Headless browser built in Rust specifically for AI agents and web scraping. Lighter and faster than Chromium-based alternatives.

Anthropic's flagship reasoning model. Best-in-class for coding, long-context analysis, and agentic workflows. 1M token context window. Available via API and in Claude Code.

MySQL-compatible serverless database built on Vitess. Branching, non-blocking schema changes, and horizontal sharding. Reintroduced a hobby tier in 2025.

Amazon's flagship compute service. Hundreds of instance types, every region, deep integration with the rest of AWS. The default enterprise compute layer.

Python's de facto data validation library. Type-hint-driven models, fast Rust-based core (v2), and the foundation of FastAPI, LangChain, and most Python AI tooling.

Utility-first CSS framework. Compose styles with class names, scan templates with the JIT engine, and ship tiny CSS bundles. v4 rewrote the engine in Rust.

Locally-scoped CSS for component-based apps. Plain CSS files with hashed class names, no runtime overhead, no learning curve.

Copy-paste React component collection built on Radix Primitives and Tailwind. You own the source, customize freely, no library to upgrade.