Mejores agentes de IA y LLM en 2026: agentes de código, agentes autónomos y modelos abiertos
Los agentes de IA explotaron en 2026. Pero "agente" ahora significa tres cosas muy distintas: agentes de código que escriben y entregan software, agentes autónomos que completan el trabajo diario en el ordenador, y los LLM abiertos (grandes modelos de lenguaje) que los impulsan. Esta guía explica cada uno de forma sencilla para principiantes, luego profundiza en benchmarks y precios para especialistas, y te dice exactamente cuándo gana cada herramienta.
Para principiantes: agente vs LLM vs agente de código
Para especialistas: benchmarks, contexto y precio
Cifras principales a junio de 2026. Los agentes de código se clasifican en Terminal-Bench; los modelos abiertos en SWE-Bench Verified / Pro. Los rankings cambian con cada lanzamiento: trátalos como una instantánea, no como dogma.
| Herramienta | Tipo | Ideal para | Código abierto | Precio | Punto fuerte |
|---|---|---|---|---|---|
| OpenAI Codex | Agente de código | Usuarios de ChatGPT que quieren codificación autónoma en paralelo | ✗ | En ChatGPT: Gratis / Plus $20/mes / Pro desde $100/mes | ~83% Terminal-Bench |
| Devin | Agente de código | Equipos que despejan un gran backlog de tickets | ✗ | Desde $20/mes (uso ACU) / Equipo $500/mes | Own cloud workspace |
| OpenCode | Agente de código | Devs que quieren un agente de terminal gratis y agnóstico | ✓ | Gratis y de código abierto (tu propia clave API) | 170K+ GitHub stars |
| Cline | Agente de código | Codificación en el editor con aprobación de cada cambio | ✓ | Gratis y de código abierto (Apache-2.0, tu clave API) | VS Code + JetBrains |
| Aider | Agente de código | Ediciones incrementales nativas de git | ✓ | Gratis y de código abierto (Apache-2.0, tu clave API) | Auto git commits |
| Trae | IDE con IA | IDE con IA gratis con modelos premium | ✗ | Gratis / Pro $10/mes / Ultra $100/mes | Free Claude/GPT access |
| MiniMax M2.7 | LLM abierto | Codificación agéntica de élite más barata | ✓ | Pesos abiertos / API ~$0.25 entrada, $1 salida por 1M tokens | ~205K ctx · $0.25/1M in |
| Kimi K2.6 | LLM abierto | Mejor modelo abierto para código y agentes | ✓ | Pesos abiertos / API desde ~$0.95 entrada, $4 salida por 1M tokens | 262K ctx · ties GPT-5.5 |
| Qwen 3.6 | LLM abierto | Multilingüe + flexibilidad en dispositivo | ✓ | Pesos abiertos / niveles de API gratis y de pago | Many sizes |
| GLM 5.2 | LLM abierto | Mejor codificador open-weight + licencia MIT | ✓ | Pesos abiertos (MIT) / GLM Coding Plan desde $10/mes | 1M ctx · 81.0 Terminal-Bench |
| Hermes 4 | LLM abierto | Builds orientables, neutrales, con llamada a herramientas | ✓ | Pesos abiertos / API vía proveedores | 14B/70B/405B |
| Llama 4 | LLM abierto | Base abierta por defecto + contexto enorme | ✓ | Pesos abiertos (licencia Llama) / gratis y alojado | Scout: 10M ctx |
| Claude Cowork | Agente autónomo | No-devs que terminan trabajo con archivos/documentos | ✗ | Incluido para suscriptores de pago de Claude | Acts on local files |
| Manus | Agente autónomo | Un agente para investigar, construir y entregar | ✗ | Gratis (300 créditos/día) / Pro $20-40/mes / Extended $200/mes | Web + code + slides |
| OpenClaw | Agente autónomo | Agente personal autoalojado centrado en privacidad | ✓ | Gratis y de código abierto (autoalojado, tu clave API) | Local · 100+ skills |
| Goose | Agente de código | Agente de ingeniería local extensible | ✓ | Gratis y de código abierto (tu propia clave API) | Rust · 70+ MCP extensions |
| Gemini CLI | Agente de código | Agente de terminal gratis, contexto 1M | ✓ | Nivel gratis (cuenta Google personal) / Code Assist de pago | 1M ctx · 1K req/day free |
| OpenAI Operator | Agente autónomo | Tareas de navegador: reservas, pedidos, formularios | ✗ | ChatGPT Pro $200/mes | OSWorld ~33% · $200/mo |
| Genspark | Agente autónomo | Espacio multi-agente para investigar, construir y entregar | ✗ | Gratis / desde $19.99/mes | Genspark Claw · from $19.99/mo |
| Kimi Claw | Agente autónomo | Automatización de navegador económica sobre modelos Kimi abiertos | ✓ | Gratis / créditos de bajo costo | Manus rival · low-cost |
| Relay.app | Agente no-code | Automatización de IA no-code con aprobación humana | ✗ | Gratis / planes de pago | Free · GPT/Claude/Gemini |
| Glean | Agente empresarial | Búsqueda y agentes empresariales sobre datos internos | ✗ | Gratis limitado / desde $30/asiento/mes | From $30/seat/mo |
| Lindy | Agente de negocio | Empleados de IA no-code para email, CRM y soporte | ✗ | Gratis / desde ~$30/mes | 3,000+ integrations · from $30/mo |
| MultiOn | Agente web | API para integrar acciones web autónomas | ✗ | API por uso | Usage-based API |
| Bardeen | Agente navegador | Tareas web repetitivas para ventas y ops | ✗ | Gratis / desde ~$20/mes | Free · from $20/mo |
| Aomni | Agente de investigación | Investigación autónoma de cuentas de ventas | ✗ | Gratis / planes de pago | GTM intelligence |
| Runner H | Agente computer-use | Tareas de ordenador y web de extremo a extremo | ✗ | Plan gratis / planes de pago | Agentic action model |
| Simular (Agent S) | Agente computer-use | Agente abierto que controla tu ordenador | ✓ | Gratis (abierto) / app de pago | Agent S · open |
| Lutra | Agente no-code | Crear flujos de datos en lenguaje natural | ✗ | Gratis / planes de pago | Gmail/Sheets/Slack |
| Convergence Proxy | Agente web personal | Aprende tus rutinas para navegar por ti | ✗ | Plan gratis / planes de pago | Proxy · free tier |
| Emergence AI | Agente empresarial | Orquestar flotas de agentes a escala | ✗ | Empresa (precio a medida) | Enterprise orchestration |
| CAMEL-AI | Framework abierto | Investigación en sociedades multi-agente | ✓ | Gratis / Código abierto | Multi-agent · open source |
| Open Interpreter | Agente local | Ejecutar código en tu PC por chat | ✓ | Gratis / Código abierto | Free · MIT/Apache |
| OpenHands | Agente de código | Codificación autónoma gratis (alt. Devin) | ✓ | Gratis / Código abierto | 70K+ stars · free |
| smolagents | Framework de agentes | Agentes minimalistas code-first (Hugging Face) | ✓ | Gratis / Código abierto | ~1K lines · free |
| Suna | Agente generalista | Alternativa autoalojada a Manus | ✓ | Autoalojado gratis / planes en la nube | Free self-host |
| Magentic-One | Multi-agente | Equipo de agentes generalista gratis (Microsoft) | ✓ | Gratis / Código abierto | On AutoGen · free |
| Stagehand | Agente web | Automatización web fiable (Playwright + IA) | ✓ | Gratis / Código abierto | Browserbase · free |
| Nanobrowser | Agente navegador | Automatización multi-agente en tu Chrome | ✓ | Gratis / Código abierto | Free · your API keys |
| Agno | Framework de agentes | Agentes de producción rápidos (ex-Phidata) | ✓ | Gratis / Código abierto | Free · open source |
| OpenAI Agents SDK | Framework de agentes | Flujos multi-agente simples (OpenAI) | ✓ | Gratis (SDK) / uso de modelo | Free SDK · Swarm successor |
| Google ADK | Framework de agentes | Construir y desplegar agentes (Google) | ✓ | Gratis / Código abierto | Free · Gemini/Cloud |
| Strands Agents | Framework de agentes | Agentes en pocas líneas (AWS) | ✓ | Gratis / Código abierto | Free · open source |
| LangGraph | Framework de agentes | Grafos de agentes con estado controlables (LangChain) | ✓ | Gratis / Código abierto | Free · production-grade |
Cuándo gana cada uno
OpenAI Codex is a strong pick for teams already on ChatGPT who want one coding agent that works the same from terminal, editor, web and phone. Its parallel task execution shines on large, well-tested codebases.
✓ Ventajas
- +Runs from CLI, IDE, web and mobile
- +Parallel autonomous tasks
- +Reads the whole repo before editing
✗ Desventajas
- −Best features need a paid ChatGPT plan
- −Cloud runs can be slow on large repos
- −Less mature ecosystem than some IDE agents
Devin is worth it for teams with a large backlog of well-scoped tickets who can keep it busy. For most individuals, an agent like Claude Code or Codex at $20/mo offers stronger reasoning per dollar — Devin shines on volume, not on novel problem solving.
✓ Ventajas
- +Fully autonomous end-to-end on a ticket
- +Own cloud workspace with browser & terminal
- +Great for large backlogs of defined tasks
✗ Desventajas
- −Sin plan gratuito
- −Usage-based ACU pricing adds up fast
- −Best value only when kept constantly busy
OpenCode is the top pick for developers who want a free, open-source agent with zero lock-in and the freedom to plug in any model — including local ones. It wins on flexibility and community; you trade away the polish of a managed product.
✓ Ventajas
- +Largest open-source agent community (170K+ stars)
- +Works with any model / provider
- +Terminal-native and scriptable
✗ Desventajas
- −Terminal-first, less beginner friendly
- −You pay model API costs separately
- −No managed cloud sandbox
Cline is the best open-source agent for developers who want the AI inside their editor with full control — approving each edit and command. Pick it over OpenCode if you prefer VS Code/JetBrains and explicit, reviewable changes over a terminal workflow.
✓ Ventajas
- +Embedded in VS Code & JetBrains
- +Explicit approval for every change
- +Any model (Claude, GPT, Gemini, local)
✗ Desventajas
- −You pay underlying model API costs
- −Can be token-hungry on big tasks
- −Less autonomous than cloud agents
Aider is ideal for developers who live in git and want every AI edit captured as a clean commit. It is simple, lightweight and reliable for incremental work, though it lags the newest cloud agents on autonomous, long-horizon tasks.
✓ Ventajas
- +Automatic git commits per change
- +Pioneer of terminal AI pair programming
- +Works with most major models
✗ Desventajas
- −Less actively updated for newest models
- −Terminal-only, no GUI
- −You pay model API costs
Trae is a great free entry point for AI coding, with premium models and a project-scaffolding SOLO mode at no cost. The trade-off is privacy: ByteDance telemetry is aggressive, so avoid it for sensitive or proprietary codebases.
✓ Ventajas
- +Generous free tier with premium models
- +SOLO Builder scaffolds full projects
- +Built on familiar VS Code
✗ Desventajas
- −Telemetry & privacy concerns (ByteDance)
- −Data retained long after account closure
- −Less mature than Cursor/Copilot
MiniMax M2.7 is one of the best value frontier models for agentic coding: near top-tier results at a fraction of the API cost, with open weights for self-hosting. Choose it when budget and tool-use performance matter more than brand familiarity.
✓ Ventajas
- +Very strong on agentic coding benchmarks
- +Efficient MoE (only 10B active params)
- +~205K token context window
✗ Desventajas
- −Not as broadly known as GPT/Claude
- −Smaller tooling ecosystem
- −Self-hosting needs serious hardware
Kimi K2.6 is the strongest open-weight model for coding and agentic work in 2026, trading blows with closed frontier models. Pick it when you want near-Opus capability with open weights — just budget for the hardware or hosted API.
✓ Ventajas
- +Ties GPT-5.5 on SWE-Bench Pro coding
- +Leads open models on Humanity's Last Exam (tools)
- +Native multimodal (text, image, video)
✗ Desventajas
- −1T params heavy to self-host
- −Output pricing higher than MiniMax
- −Tooling still maturing in the West
Qwen 3.6 is a top choice when you need a flexible, multilingual open model that scales from on-device to frontier-class coding. It is especially compelling for non-English markets and teams who want to fine-tune their own weights.
✓ Ventajas
- +Close to Opus-class on agentic coding
- +Excellent multilingual coverage
- +Many sizes incl. on-device variants
✗ Desventajas
- −Top results need the largest variant
- −Naming/versions can be confusing
- −Ecosystem mostly China-centric
GLM-5.2 is the best open-weight model for coding in mid-2026: top open Terminal-Bench score, a 1M-token context window and an MIT license, at roughly a sixth of GPT-5.5's cost. It is the standout choice for teams that want to build on and ship open weights without restrictive licensing.
✓ Ventajas
- +Top open-weight coding model (81.0 Terminal-Bench)
- +Huge 1M-token context window
- +Permissive MIT license for commercial use
✗ Desventajas
- −~750B params heavy to self-host
- −Less brand recognition outside China
- −Smaller third-party tooling
Hermes 4 is the model for builders who want maximum control and neutral alignment, with first-class function calling and JSON output. It rewards teams comfortable adding their own guardrails in exchange for a highly steerable open model.
✓ Ventajas
- +Highly steerable, neutrally aligned
- +Hybrid reasoning (think vs. answer)
- +Excellent function calling & JSON mode
✗ Desventajas
- −Raw model — you handle safety/guardrails
- −Largest size is hardware-heavy
- −Not as polished as hosted assistants
Llama 4 remains the default open-weight foundation for builders thanks to its huge ecosystem, multimodality and Scout's enormous context window. It is the safe, well-supported choice, even if the very newest open models edge it on specific coding benchmarks.
✓ Ventajas
- +Natively multimodal (text + image)
- +Scout: 10M-token context window
- +Efficient MoE architecture
✗ Desventajas
- −Community license has some restrictions
- −Largest models need big hardware
- −Trails newest Chinese open models on some coding tasks
Claude Cowork is the best desktop agent for non-developers who want AI to actually finish file-based work — research, reports, spreadsheets — rather than just describe it. Ideal for analysts, ops, legal and finance teams already on a paid Claude plan.
✓ Ventajas
- +Acts directly on local files & apps
- +Completes multi-step tasks end-to-end
- +macOS and Windows desktop apps
✗ Desventajas
- −Requires a paid Claude subscription
- −Desktop-only (no mobile)
- −Permissioned access needs setup
Manus is a strong general-purpose autonomous agent for people who want one tool to research, build and ship deliverables hands-off. The free daily credits make it easy to try, but serious users will need a paid tier to avoid credit limits.
✓ Ventajas
- +Truly autonomous multi-step execution
- +Live web browsing + code execution
- +Builds web apps and slide decks
✗ Desventajas
- −Credit system, no rollover
- −Heavy tasks burn credits fast
- −Quality varies on open-ended work
OpenClaw is the top choice for privacy-minded users who want a free, self-hosted personal agent that actually runs tasks on their own machine. It rewards a bit of technical setup with full control and no subscription — the open-source answer to desktop agents.
✓ Ventajas
- +Free, open-source and self-hosted
- +Runs locally — privacy-friendly
- +Model-agnostic (BYOK or local models)
✗ Desventajas
- −Self-hosting requires technical setup
- −You supply and pay for model access
- −Powerful local access needs caution
Goose is a top open-source pick for engineers who want an extensible, model-agnostic agent that runs locally and automates real workflows with reusable recipes. It rewards a bit of setup with full control and no subscription.
✓ Ventajas
- +Free, open-source and extensible (Rust)
- +Runs locally — desktop, CLI and API
- +Works with 15+ LLM providers (BYOK)
✗ Desventajas
- −You supply and pay for model API access
- −Setup more technical than managed tools
- −Younger, fast-moving ecosystem
Gemini CLI is the best free terminal agent for developers in the Google ecosystem, pairing a huge 1M-token context with built-in search grounding at no cost. Keep an eye on the Code Assist tier migration if you rely on the individual plan.
✓ Ventajas
- +Generous free tier (about 1,000 requests/day)
- +Gemini with a 1M-token context window
- +Built-in Google Search grounding
✗ Desventajas
- −Individual Code Assist tiers are migrating to Antigravity
- −Tied to a Google account/ecosystem
- −Terminal-first, less beginner-friendly
Operator is worth trying for ChatGPT Pro users who want OpenAI to automate browser tasks, but in 2026 its real-world reliability still lags Claude's computer use. Treat it as a promising preview rather than a dependable production worker.
✓ Ventajas
- +Autonomous web browsing & clicking
- +Handles bookings, orders and forms
- +Backed by OpenAI frontier models
✗ Desventajas
- −Expensive — ChatGPT Pro $200/mo only
- −Modest reliability (~33% on OSWorld)
- −No public API yet
Genspark is a leading general AI agent for 2026: a multi-agent workspace that plans and finishes complex tasks autonomously, with Genspark Claw driving real browsers and tools. A strong Manus rival — start on the free tier and upgrade only for heavy workloads.
✓ Ventajas
- +True multi-agent autonomy end to end
- +Genspark Claw drives a browser like a human
- +Builds documents, slides and does research
✗ Desventajas
- −Credits deplete on heavy tasks
- −Advanced use needs a paid plan
- −Autonomous output needs review
Kimi Claw is a strong value pick among 2026 autonomous agents: it delivers Manus-style browser automation on Moonshot's capable open models at a lower price, with solid multilingual coverage including Arabic. A great budget entry point into agentic AI.
✓ Ventajas
- +Built on strong open Kimi models
- +Lower cost than Manus / Genspark
- +Drives browsers and tools autonomously
✗ Desventajas
- −Newer, tooling still maturing
- −Autonomous output needs review
- −Heavy tasks consume credits
Relay.app is the best pick for non-developers who want reliable AI automation with human oversight. Its generous free plan and no-code builder make it ideal for automating repetitive business workflows without trusting a fully autonomous agent.
✓ Ventajas
- +Generous free plan (500 AI credits/mo)
- +No-code, easy for non-developers
- +Human-in-the-loop approvals
✗ Desventajas
- −Step limits on the free plan
- −Complex flows take setup time
- −Less autonomous than agent workspaces
Glean is the top enterprise AI work assistant of 2026: it unifies search and agentic actions across all your company tools with strong security. Ideal for medium-to-large organizations; individuals and tiny teams will find it more than they need.
✓ Ventajas
- +Searches across all company apps at once
- +Enterprise-grade security & permissions
- +Agentic workflows over company data
✗ Desventajas
- −Built for enterprises, not individuals
- −Per-seat pricing adds up
- −Setup requires IT/admin
Lindy is a leading no-code platform for building AI "employees" that automate real business work across thousands of apps, 24/7. Ideal for teams that want autonomous agents for email, CRM and support without writing code.
✓ Ventajas
- +Build AI employees with no code
- +3,000+ app integrations
- +Runs 24/7 with human approval
✗ Desventajas
- −Advanced use needs paid plan
- −Setup for complex flows
- −Oversight needed
MultiOn is a developer-first web-agent platform: autonomous agents that book, order and complete tasks on real websites through a simple API. Best for builders who want to embed reliable web automation into their products.
✓ Ventajas
- +Autonomous web actions via API
- +Books, orders and fills forms
- +Embeddable in your own apps
✗ Desventajas
- −Usage-based costs
- −For developers
- −Needs oversight & guardrails
Bardeen is a practical browser-automation agent for sales and ops: run repetitive web workflows — scraping, CRM updates, messaging — with a click or on schedule. A handy free-to-start tool for automating the busywork in your browser.
✓ Ventajas
- +Automates repetitive web tasks
- +Scrapes data & updates CRMs
- +One-click or scheduled runs
✗ Desventajas
- −Best features are paid
- −Browser-extension based
- −Setup for complex flows
Aomni is a focused AI research agent for sales: it autonomously builds deep account intelligence and drafts tailored outreach, turning hours of prospect research into minutes. A strong pick for revenue teams that live on personalized selling.
✓ Ventajas
- +Autonomous account research
- +Finds buying signals & key people
- +Drafts tailored outreach
✗ Desventajas
- −Focused on sales/GTM
- −Best features are paid
- −Verify research before use
Runner H is H Company's autonomous agent for real-world computer and web tasks, built on a dedicated action model. A promising European contender in the agentic space for automating multi-step workflows — with human oversight recommended.
✓ Ventajas
- +Completes computer & web tasks
- +Agentic action model
- +Multi-step workflow automation
✗ Desventajas
- −Newer platform
- −Needs oversight
- −Reliability varies by task
Simular (Agent S) is a leading open computer-use agent: it sees your screen and clicks and types like a human to automate tasks across any app. Exciting for developers and researchers exploring autonomous desktop automation — still early, so supervise it.
✓ Ventajas
- +Controls the computer like a human
- +Works across any app
- +Open Agent S framework
✗ Desventajas
- −Early-stage reliability
- −Needs oversight
- −Technical to run
Lutra makes agent-building accessible: describe a workflow in plain language and it creates an agent that connects your apps to fetch, process and act on data. A friendly pick for non-developers who want practical automation with oversight.
✓ Ventajas
- +Build agents from plain language
- +Connects Gmail, Sheets, Slack & more
- +For non-developers
✗ Desventajas
- −Best features are paid
- −Complex flows take iteration
- −Oversight for actions
Convergence Proxy is a personal AI web agent that learns your routines and acts across the web — research, shopping, forms and more. A promising general-purpose assistant; like all early web agents, keep an eye on it while it matures.
✓ Ventajas
- +Personal web agent that learns you
- +Completes research, shopping & forms
- +General-purpose browsing tasks
✗ Desventajas
- −Early-stage reliability
- −Needs oversight
- −Reliability varies by site
Emergence AI targets enterprise agent orchestration: coordinate fleets of AI agents to automate complex, multi-system processes with planning and verification. Powerful for large organizations building serious agentic automation — enterprise pricing and governance apply.
✓ Ventajas
- +Orchestrates fleets of agents
- +Automates complex processes
- +Plans, coordinates & verifies work
✗ Desventajas
- −Enterprise-only pricing
- −Complex to deploy
- −Needs governance
CAMEL-AI is a popular open-source framework for large-scale multi-agent systems: create societies of communicating agents that collaborate on tasks, free. Ideal for developers and researchers experimenting with how AI agents work together.
✓ Ventajas
- +Build societies of communicating agents
- +Great for multi-agent research
- +Open source and free
✗ Desventajas
- −For developers/researchers
- −Not a finished product
- −Setup and coding required
Open Interpreter is a top free, open-source agent: it lets an LLM run code on your machine from plain language to edit files, analyze data and automate tasks — privately and locally. Powerful for technical users; sandbox it since it executes real code.
✓ Ventajas
- +Runs code locally via natural language
- +Edits files, analyzes data, controls apps
- +Private and offline-capable
✗ Desventajas
- −Runs code — use with caution
- −For technical users
- −Needs guardrails/sandboxing
OpenHands (formerly OpenDevin) is the leading open-source autonomous coding agent, with 70K+ stars: it writes, tests and ships code and runs commands to finish real dev work, free to self-host. The top free alternative to Devin for engineering teams.
✓ Ventajas
- +70K+ GitHub stars
- +Writes, tests & deploys code
- +Browses web and runs commands
✗ Desventajas
- −For developers to self-host
- −Needs LLM API keys
- −Review all changes
smolagents is a refreshing open-source agent framework from Hugging Face: tiny, fast, and code-first — agents write Python instead of JSON, beating heavier frameworks on benchmarks. Ideal for developers who want a lean, powerful, free agent toolkit.
✓ Ventajas
- +Minimal (~1,000 lines) and fast
- +Agents write & run Python
- +Outperforms heavier frameworks
✗ Desventajas
- −For Python developers
- −Code execution needs sandboxing
- −Fewer built-ins than big frameworks
Suna is a leading open, self-hostable generalist agent: it autonomously researches, browses and completes tasks through chat, free to run yourself. The top transparent alternative to closed agents like Manus for those who want to own their agent.
✓ Ventajas
- +Open generalist agent (Manus-style)
- +Research, browsing, files & workflows
- +Free to self-host
✗ Desventajas
- −Self-hosting needs setup
- −Cloud plan is paid
- −Autonomous output needs review
Magentic-One is Microsoft's free open-source generalist multi-agent system: an orchestrator coordinates web, file and coding agents to solve complex tasks together. A strong, research-grade free stack for developers building capable agent teams.
✓ Ventajas
- +Orchestrator directs specialized agents
- +Web, files and coding out of the box
- +From Microsoft Research
✗ Desventajas
- −For developers/researchers
- −Needs LLM API keys
- −Setup required
Stagehand is a developer-favorite open-source web-automation framework: combine reliable Playwright code with natural-language AI actions to build robust web agents, free. The pick for engineers who want control and reliability over a black-box agent.
✓ Ventajas
- +Natural-language web automation
- +Built on reliable Playwright
- +Mix code and AI actions
✗ Desventajas
- −For developers (TS/JS)
- −Needs an LLM for AI actions
- −Sites can change/break flows
Nanobrowser is a free, open-source browser agent that runs multi-agent automation right in your Chrome, with your own API keys and no cloud. A private, no-subscription alternative to paid web agents for anyone comfortable bringing their own model.
✓ Ventajas
- +Runs multi-agent AI in your browser
- +Use your own API keys
- +Private — no cloud service
✗ Desventajas
- −Needs your own LLM keys
- −Browser-bound tasks
- −Reliability varies by site
Agno (formerly Phidata) is a fast, popular open-source framework for building production AI agents with memory, tools and reasoning. A clean, free alternative to LangChain for Python developers who want to ship reliable agents quickly.
✓ Ventajas
- +Fast, clean agent framework
- +Memory, tools, knowledge & reasoning
- +Multi-agent teams
✗ Desventajas
- −For Python developers
- −Not a no-code tool
- −You wire up integrations
The OpenAI Agents SDK is a free, lightweight open-source framework for reliable multi-agent workflows, with handoffs, guardrails and tracing built in. A great starting point for developers who want simple, production-ready agent orchestration.
✓ Ventajas
- +Free, open-source from OpenAI
- +Agents, handoffs & guardrails
- +Built-in tracing/debugging
✗ Desventajas
- −For developers
- −Model API usage is billed
- −Python-first
Google ADK is a free, open-source agent framework for building, evaluating and deploying agents and multi-agent systems, with strong Gemini and Cloud integration. A solid pick for developers in the Google ecosystem building production agents.
✓ Ventajas
- +Build, evaluate & deploy agents
- +Code-first and flexible
- +Works with Gemini and others
✗ Desventajas
- −For developers
- −Best within Google ecosystem
- −Model/cloud usage billed
Strands Agents is AWS's free, open-source SDK for building capable AI agents in just a few lines of code, model-driven and production-focused. A strong pick for developers, especially those deploying on AWS.
✓ Ventajas
- +Build agents in a few lines
- +Model-driven and flexible
- +Runs anywhere, great on AWS
✗ Desventajas
- −For developers
- −Best within AWS ecosystem
- −Model/cloud usage billed
LangGraph is a leading open-source framework for building reliable, stateful multi-agent apps with precise control over flow and human-in-the-loop steps. The go-to free toolkit for developers who need production-grade agent orchestration.
✓ Ventajas
- +Precise control over agent flow
- +Stateful, graph-based agents
- +Human-in-the-loop support
✗ Desventajas
- −For developers
- −Learning curve
- −More setup than simple frameworks
Preguntas frecuentes
¿Cuál es la diferencia entre un agente de IA y un LLM?
Un LLM genera texto y responde preguntas. Un agente de IA usa un LLM como cerebro pero también puede actuar — editar archivos, ejecutar código, navegar por la web u operar apps — para completar una tarea de principio a fin.
¿Cuál es el mejor agente de código con IA en 2026?
En rendimiento puro, Codex (en GPT-5.5) y Claude Code lideran Terminal-Bench. Como opción gratuita y de código abierto, OpenCode y Cline son las mejores. La mejor elección depende de tu ecosistema, presupuesto y si prefieres autonomía o control por cambio.
¿Los LLM de código abierto son tan buenos como GPT-5.5 o Claude?
En 2026 la brecha se ha reducido muchísimo. Modelos abiertos como Kimi K2.6 igualan a GPT-5.5 en varios benchmarks de código, y MiniMax, Qwen, GLM y Llama 4 vienen muy cerca — a menudo por una fracción del coste y con pesos que puedes autoalojar.