# Multi-Model

The AI-first code editor

AI-first code editor built as a VS Code fork that deeply integrates LLMs into every part of the development workflow. Features Tab autocomplete with multi-line predictions, Cmd+K inline editing, AI chat with full codebase awareness, and Agent mode for autonomous multi-file edits with terminal execution. Supports GPT-4, Claude, and more with automatic context from project files and docs. Includes privacy mode for SOC 2 compliance. The leading AI-native IDE with 100K+ paying users.

Agent-first development platform from Google with desktop app and CLI

Google Antigravity is Google's AI-powered agentic development platform, announced in November 2025 and expanded with Antigravity 2.0 at I/O 2026, that places autonomous AI agents at the center of software development. Distributed as both a VS Code-based desktop app and the new Antigravity CLI, it runs planning, implementation, and verification agents — backed by Gemini 3.1 Pro/Flash, Claude Sonnet/Opus 4.6, and GPT-OSS 120B — across editor, terminal, and browser.

Anthropic's frontier AI assistant

Anthropic's AI assistant known for strong reasoning, nuanced writing, and extended context up to 200K tokens. Available in Opus (most capable), Sonnet (balanced), and Haiku (fast) tiers. Features web search, deep research, file analysis, code execution, artifacts, and Projects for organized workflows. Claude Code provides terminal-based agentic coding. API supports tool use, batch processing, and prompt caching. Available via claude.ai, mobile apps, and developer API.

OpenAI's conversational AI

OpenAI's flagship conversational AI platform with 400M+ weekly active users, powered by GPT-5, GPT-4o, and reasoning models (o3, o4-mini). Handles text, code, image analysis, voice conversations, and web search in one interface. Features Advanced Voice Mode, DALL-E image generation, file analysis, Custom GPTs, memory for personalization, and Deep Research for multi-step investigation. Available on web, iOS, Android, macOS, and Windows with free and paid tiers (Plus, Pro, Team, Enterprise).

Run LLMs locally with one command

Tool for running large language models locally on your machine with a simple CLI interface. Download and run Llama 3, Mistral, Gemma, Phi, Code Llama, and dozens of other open-source models with a single command. Features model management, GPU acceleration (NVIDIA/AMD/Apple Silicon), OpenAI-compatible API server, Modelfile for customization, and multi-model switching. Ideal for offline AI development, privacy-sensitive use cases, and local testing. 120K+ GitHub stars.

Self-hosted AI platform with ChatGPT-like interface for local and cloud LLMs.

Extensible, self-hosted AI platform with 290M+ Docker pulls and 124K+ GitHub stars. Supports Ollama, OpenAI-compatible APIs, and any Chat Completions backend. Features built-in RAG, multi-user RBAC, voice/video calls, Python function workspace, model builder, and web browsing. Runs entirely offline with enterprise features including SSO and audit logging.

AI-powered answer engine with real-time citations

AI search engine that provides sourced, citation-backed answers by searching the web in real time. Pro tier unlocks unlimited queries, file uploads, and access to GPT-4o, Claude, and Sonar models. Available on web, iOS, Android, and as an API. The leading AI-powered search alternative that combines the convenience of conversational AI with the reliability of cited, verifiable sources.

Memory engine and context API for AI assistants

Supermemory is a memory and context platform for AI assistants and agents. It ranks #1 on LongMemEval, LoCoMo, and ConvoMem, supports MCP for Claude/Cursor-style clients, provides plugins for developer tools, and combines memory extraction, user profiles, hybrid search, connectors, and RAG in one API.

Build AI-powered web apps

Open-source TypeScript toolkit by Vercel for building AI-powered apps with streaming chat UIs, structured outputs, tool calling, and agent workflows. Framework-agnostic core with integrations for React, Next.js, Svelte, Vue, and Nuxt. Supports a broad AI SDK v6 provider catalog including OpenAI, Anthropic, Google, xAI, Mistral, Bedrock, Groq, and OpenAI-compatible providers. Includes useChat and useCompletion hooks for rapid UI development. The standard SDK for adding AI features to web apps.

AI coding assistant by Sourcegraph

AI coding assistant from Sourcegraph for large enterprise codebases. Uses Sourcegraph's code graph for deep cross-file reasoning with flexible model choice (Claude, Gemini, GPT). Features autocomplete, chat, inline editing, test generation, and OpenCtx providers (Jira, Linear, Notion, Google Docs). As of July 2025, Cody Free and Pro tiers were discontinued — Sourcegraph now offers Cody to Enterprise customers only; Amp is the path for individuals.

Google's multimodal AI model

Google's multimodal AI platform with models from Flash (fast) to Pro and Ultra (most capable). Natively processes text, images, audio, video, and code with up to 2M token context windows. Integrated across Google Search, Workspace, Android, and Chrome. Features Deep Research for multi-step investigation, Gems for custom personas, and NotebookLM for document analysis. Available free via web/mobile apps and as a paid API through Google AI Studio and Vertex AI.

Unified API gateway for 200+ AI models

Unified API gateway providing access to 500+ AI models from leading providers through a single OpenAI-compatible interface. OpenRouter eliminates the need to manage separate keys, billing, and integrations across providers like OpenAI, Anthropic, Google, and Meta, with built-in plugins for web search, PDF processing, automatic fallback routing, and per-model cost tracking.

Vector similarity search for PostgreSQL

pgvector is an open-source PostgreSQL extension with 22K+ GitHub stars adding vector similarity search to your existing Postgres database. Store embeddings alongside relational data, perform exact and approximate nearest neighbor search using L2, inner product, cosine, and L1 metrics. Supports HNSW and IVFFlat indexes for fast similarity queries at scale. Eliminates the need for a separate vector database by bringing vector capabilities into existing PostgreSQL infrastructure.

Agentic coding tool by Sourcegraph (formerly Cody)

Amp Frontier Corporation's multi-model coding agent for terminal, web, and IDE-connected workflows. It uses GPT-5.6, Claude Fable 5, and fast models across low, medium, high, and ultra modes, with subagents, an Oracle second-opinion model, shared threads, remote orbs, MCP, and plugins. Pricing combines a daily free credit grant, $20/$200 monthly subscriptions, and optional pay-as-you-go credits.

Open-source AI software development agent

Open-source AI agent platform (formerly OpenDevin) for building developer agents that modify code, run shell commands, browse the web, and call APIs through a composable Python SDK and CLI. OpenHands runs agents in sandboxed Docker containers accessed via SSH, supports Claude/GPT/any LLM, and has solved 50%+ of real GitHub issues in software engineering benchmarks.

Python agent framework by Pydantic team

Agent framework built on Pydantic for type-safe AI applications. Provides structured outputs, dependency injection, and multi-model support. Created by the Pydantic team, it brings the same validation and typing philosophy that made Pydantic essential for Python APIs to the world of AI agents, ensuring reliable data flow between LLMs and application logic.

Open-source autonomous coding agent for VS Code

Cline is an Apache-2.0 open-source AI coding agent runtime for editor, terminal, and SDK workflows. It reads and edits files, runs commands, uses browsers, plans then acts, and requires explicit approval for each step unless users enable auto-approve. Current Cline sources show 8M+ installs, 63.6k+ GitHub stars, BYOK/provider flexibility, local model support, MCP, plugins, hooks, and Enterprise governance.

Glamorous agentic coding for the terminal by Charm

LSP-enhanced terminal coding agent from Charmbracelet with the broadest cross-platform support including Android. Features mid-session model switching and MCP extensibility for custom tool integration. Combines the elegance of Charmbracelet's TUI toolkit with practical coding assistance, offering a polished terminal experience for developers on any platform.

Google's official CLI agent for coding with Gemini

Gemini CLI is Google's open-source terminal agent for coding with Gemini models, shell/file tools, web fetching, Google Search grounding, and MCP extensions. As of 18 June 2026, unpaid tier and Google One users are being moved to Antigravity CLI; supported Standard, Enterprise, and Google Cloud access paths remain the safer fit for teams.

Open-source extensible AI agent by Block

Autonomous coding agent from Block (Square) that works with any LLM through MCP-first extensibility. Apache 2.0 licensed with 47K+ GitHub stars and a Linux Foundation AAIF founding project. Designed for terminal-based workflows with deep tool integration, making it a strong open-source option for developers who want agent-assisted coding without vendor lock-in.

Run local LLMs with an intuitive desktop GUI and OpenAI-compatible API server.

Free desktop application by Element Labs for discovering, downloading, and running open-source LLMs locally. Features a curated Hugging Face model browser, side-by-side model comparison, parameter tuning, and an OpenAI-compatible API server on localhost:1234. Powered by llama.cpp with Metal acceleration for Apple Silicon.

AMD's open-source local LLM server with GPU and NPU acceleration

Lemonade is AMD's open-source local AI serving platform for LLMs, image generation, speech recognition, and text-to-speech on your own hardware. Built in lightweight C++, it can detect CPU, GPU, and NPU backends and is extra optimized for Ryzen AI, Radeon, and Strix Halo PCs. Lemonade exposes OpenAI, Anthropic, and Ollama-compatible APIs, ships with a desktop model manager, and supports source-confirmed GGUF, FLM, and ONNX models across Windows, Linux, macOS, and Docker.

Minimal terminal coding harness

Pi Coding Agent is an MIT-licensed Node.js CLI from earendil-works for building and running coding agents in a local terminal. The current package describes a read/bash/edit/write toolset and session management, while the repo positions Pi as a unified LLM API, agent loop, TUI, and coding-agent CLI. It is best framed as a lean, self-extensible BYO-model toolkit rather than a managed IDE.

AI pair programming in your terminal

Terminal-based AI pair programmer with deep git integration. Auto-commits changes with meaningful messages and creates repository maps for navigating large codebases. Works with Claude, GPT, DeepSeek, and local models. One of the most popular open-source AI coding tools, known for its reliability, broad model support, and seamless command-line workflow.

Knowledge graph-powered RAG framework from HKU

LightRAG is a research-backed RAG framework from Hong Kong University that combines knowledge graph structures with vector search for more contextual retrieval. Published at EMNLP 2025, it extracts entities and relationships from documents to build a structured knowledge graph, then uses dual-level retrieval across both graph and vector representations with five query modes: naive, local, global, hybrid, and mix.

Open-source AI coding agent for the terminal

Open-source terminal-based AI coding agent built in Go by the SST team, with a rich TUI (Bubble Tea) supporting 75+ model providers including OpenAI, Anthropic, Gemini, Bedrock, Groq, and OpenRouter. Features vim-like editing, persistent SQLite sessions, and LSP integration for 40+ languages. Fully free with no vendor lock-in, it has rapidly grown to 95k+ GitHub stars.

Lightweight multi-modal agent framework

Fast, lightweight Python framework for building multi-modal AI agents, formerly known as Phidata. Includes built-in memory, knowledge bases, tools, and reasoning capabilities with 40K+ GitHub stars. Designed for developers who want to build production-ready agents quickly with minimal boilerplate, supporting structured outputs and multi-agent coordination out of the box.

Open-source agentic development environment for parallel AI agents

Emdash is an open-source agentic development environment for orchestrating many coding agents in parallel. It runs each agent in an isolated Git worktree, presents tasks in a dashboard, auto-detects installed CLIs, works with 25+ agents including Claude Code, Codex, Cursor, Amp and Gemini, and supports MCP server connections for tool access.

Enterprise-grade AI coding agent system by Factory

System of specialized AI Droids — Code, Knowledge, Reliability, and Product — each optimized for specific development tasks. Ranked #1 on Terminal-Bench with 58.75% score. BYOK model with support for Anthropic and OpenAI models. Enterprise-focused approach that treats AI coding as a team of specialized agents rather than a single general-purpose assistant.

CyberArk's open-source LLM fuzzing framework for AI security testing

FuzzyAI is CyberArk's Apache-2.0 framework for fuzzing LLM APIs to identify jailbreaks and related security vulnerabilities. Current README examples cover Ollama/local models, OpenAI, Anthropic, custom REST endpoints, and attacks such as ManyShot, Taxonomy, and ArtPrompt. Use it as a repeatable security-testing starting point, not a complete AI risk-management system.

Open-source agentic engineering platform

Open-source agentic AI coding platform for VS Code, JetBrains IDEs, CLI, Slack, and Cloud that combines inline autocomplete, browser automation, automated refactoring, and custom planning/coding/debugging modes. Operates on a plan-act-observe-fix loop with 500+ model support (Gemini, Claude, GPT via OpenRouter). Memory Bank feature maintains repo-resident context across sessions, and codebase indexing keeps the agent grounded in your project.

Unified API proxy for 100+ LLMs

Drop-in OpenAI-compatible proxy supporting 100+ LLM providers with load balancing, spend tracking, rate limiting, and fallback routing. Acts as a unified gateway for all your AI model calls, letting teams switch between providers, enforce budgets, and add reliability layers without changing application code. Essential infrastructure for multi-model AI architectures.

Open-source personal AI agent for messaging apps

OpenClaw is a free, open-source AI agent framework that turns any LLM into an autonomous personal assistant accessible through messaging apps like WhatsApp, Telegram, Discord, and Signal. Running entirely on your local machine via a Node.js gateway, it connects AI models to system tools, browsers, files, and APIs for multi-step task execution with persistent memory across sessions.

Run frontier AI models across a cluster of everyday devices

exo turns multiple local machines into a unified AI compute cluster for models that exceed a single device's memory. It automatically discovers devices, uses topology-aware auto parallelism to split work across available resources, and supports RDMA over Thunderbolt 5 for co-located clusters or standard networking for looser setups. The project exposes OpenAI Chat Completions, Claude Messages, OpenAI Responses, and Ollama-compatible APIs plus a dashboard for cluster management.

ByteDance's open-source LLM coding agent with multi-provider support

Trae Agent is ByteDance's open-source software engineering agent that autonomously resolves GitHub issues, fixes bugs, and implements features using any LLM provider. It supports OpenAI, Anthropic, Doubao, Azure, Ollama, and Gemini backends, making it one of the most provider-flexible coding agents available. With over 11,000 GitHub stars and a modular research-friendly architecture, it offers a strong alternative to Western-centric coding agents.

Microsoft's conversational multi-agent framework

AutoGen is an open-source programming framework from Microsoft Research for building AI agents and facilitating cooperation among multiple agents to solve complex tasks through multi-turn conversations. Pioneered conversable agents that interact, use tools, and involve humans in the loop for multi-agent workflows. v0.4 features a redesigned async event-driven architecture with stronger observability, flexible collaboration patterns, and reusable components.

AI code review that groups and orders PR changes

Cubic is an AI-powered code review platform used by teams at cal.com and n8n that organizes complex PRs by grouping files logically (Backend → API → UI) and provides an AI walkthrough of changes. At paid/team pricing should be verified in Cubic’s current purchase flow; it solves the jumpiness problem in large pull requests where reviewers lose context hopping between unrelated files, offering one-click fixes and custom rule enforcement.

AI assistant built into JetBrains IDEs

Native AI assistant integrated into all JetBrains IDEs with code completion, chat, and context-aware suggestions. Powered by multiple LLMs with deep IDE integration for refactoring, analysis, and documentation. Leverages JetBrains' rich code understanding to deliver more accurate suggestions than standalone AI tools, especially for Java, Kotlin, and Python projects.

Multi-agent CLI pair programmer with FORGE, MUSE, and SAGE agents

Model-agnostic terminal coding tool with 3 specialized agents: FORGE for code editing, MUSE for planning and review, and SAGE for research. Connects to hundreds of LLM providers and models with local-first privacy and conversational Git integration. Apache 2.0 licensed. A thoughtfully designed multi-agent approach that separates concerns between coding, thinking, and information gathering for more reliable results.

AI coding agent by Moonshot AI

Terminal-based AI coding agent from Moonshot AI, powered by Kimi K2.5 with a 256K context window that achieves 76.8% on SWE-Bench Verified. Reads and edits code, executes shell commands, fetches web pages, and autonomously plans multi-step development workflows through natural language. Moonshot's entry into the AI coding agent market, leveraging their strength in large-context language models.

AI-native IDE by ByteDance

VS Code fork with Builder Mode for full-stack project generation from natural language prompts. Offers free access to Claude 3.7 Sonnet, GPT-4o, and DeepSeek models. With 6M+ users and a cloud IDE option, Trae is one of the most accessible AI coding tools for developers who want powerful AI features without upfront costs or complex setup.

Natural language interface for running code on your computer

Open Interpreter is an open-source natural-language interface for computers. It runs Python, JavaScript, shell commands, and other code locally through a ChatGPT-like terminal workflow, with user approval before execution. It can use hosted providers or local models, but its main tradeoff is safety: approved commands can access local files, apps, and system resources.

All-in-one LLM CLI tool with shell assistant, RAG, and function calling

All-in-one LLM CLI written in Rust that gives unified access to 20+ AI providers (OpenAI, Claude, Gemini, Ollama, Groq, Mistral, DeepSeek, and more) through one terminal interface. Includes a shell assistant, interactive REPL with session management, RAG over local files and URLs, custom roles, function calling, and a built-in HTTP server exposing Chat Completions, Embeddings, and Rerank APIs plus an LLM Playground and Arena for model comparison.

50x faster LLM gateway with MCP support, built in Go

Bifrost is a high-performance open-source AI gateway built from scratch in Go. Unifies access to 15+ providers and 1,000+ models through a single OpenAI-compatible API with only 11 microsecond overhead per request at 5K RPS — 50x faster than LiteLLM. Features automatic failover, load balancing, semantic caching, and functions as both MCP client and MCP server. Apache 2.0 licensed.

One desktop app for every LLM — private, cross-platform, extensible

Chatbox is a cross-platform desktop AI client supporting OpenAI, Claude, Gemini, DeepSeek, and local models via Ollama. All chat data stays on-device, making it ideal for privacy-conscious developers. Features include document analysis, code assistance with syntax highlighting, image generation, web search, and a local knowledge base for private Q&A. Available on Windows, macOS, Linux, Android, iOS, and web.

Desktop AI productivity studio with 300+ assistants

Cherry Studio is an open-source desktop AI application with 42K+ GitHub stars providing unified access to 50+ LLM providers through a single Electron-based interface. Features 300+ pre-built AI assistants for different tasks, multi-model conversations, knowledge base with RAG support, real-time translation, image generation, and Mermaid diagram rendering. Supports topic-based chat management, message branching, and custom assistant creation. Available on macOS, Windows, and Linux.

Multi-agent terminal coding assistant

Codebuff is an open-source AI coding assistant that operates from the terminal, editing your codebase through natural language instructions while understanding project structure, dependencies, and patterns. Uses multi-agent architecture with specialized File Explorer, Planner, and execution agents for precise code modifications across files. Editor-agnostic via terminal-level operation. Supports any OpenRouter model including Claude, GPT, DeepSeek, and Qwen.

Credit-based AI coding subscriptions for Cursor IDE

Cursor Plans refers to the tiered pricing and subscription structure of the Cursor AI code editor, ranging from the free Hobby plan to premium Ultra tier. The plan chosen directly impacts the amount of AI assistance available, the models accessible (Claude, GPT-4, cursor-small), and the team management features included. Updated pricing and limits for individuals, Pro users, and Business accounts.