The agentic AI landscape in 2026 is moving fast. Understanding the major players and their approaches will help you make informed decisions about what to build on.
The agentic AI landscape in 2026 is moving fast. Here's where each major player stands.
Claude Code — Terminal-based coding agent with a strong focus on safety and user confirmation before consequential actions.
Claude Agents SDK — Structured framework for building agentic systems with built-in tool use, multi-agent orchestration, and MCP support.
Model Context Protocol (MCP) — Open standard for connecting AI models to external tools and data sources. Any MCP-compatible tool plugs into any MCP-compatible agent.
Responses API — Unified interface for agentic applications with built-in tools for web search, code execution, and file operations — no host-side execution code for common tools.
Codex (2025 cloud agent) — Autonomous software engineering agent for long-horizon coding tasks in isolated cloud environments.
Gemini agents — Integrated across Google Workspace with strong multimodal tool use (Gemini 2.0/2.5).
Project Mariner — Browser-control agent for navigating the web and completing multi-step tasks.
Agent Development Kit (ADK) — Framework for production multi-agent systems with tight Google Cloud integration.
Persistent agents — Maintaining state across sessions, accumulating knowledge over weeks and months.
Long-running tasks — Cloud infrastructure for agents that run hours or days with async result delivery.
Agent-to-agent communication — MCP and similar standards enabling agents from different providers to collaborate. An Anthropic orchestrator invoking a Google subagent is becoming a realistic architecture.
Observability tooling — LangSmith, Braintrust, and purpose-built platforms becoming standard for monitoring agent behavior in production.
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