Best AI Agents Tools

Open-source, general-purpose AI agent framework that runs in a Docker sandbox and learns by writing its own tools.

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Open-source multi-agent platform from Alibaba's DAMO Academy for building LLM agents with visual workflows and runtime management.

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Microsoft's full managed platform for building, deploying, and scaling enterprise AI agents with native integration into Microsoft 365, Azure services, and 1,400+ business systems through code-first SDK and visual portal experiences

Key Features:

• •No-Code Agent Builder
• •Code-Based Deployment
• •Managed Long-Term Memory

Open-source, extensible AI agent from Block that runs on your machine and orchestrates LLMs, MCP tools, and developer workflows.

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Tool-calling infrastructure for AI agents — 1,000+ pre-built integrations with managed OAuth, exposed natively as MCP servers.

Key Features:

• •1,000+ app connections for AI agents
• •OAuth-based access so agents do not need raw passwords
• •MCP Gateway and CLI positioning

Open-source Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a 'crew' to complete complex tasks.

Key Features:

• •Workflow Runtime
• •Tool and API Connectivity
• •State and Context Handling

Cloud desktops for AI agents — give Claude Code, Codex or any computer-use agent its own isolated macOS or Linux VM.

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Dust review 2026: enterprise AI platform from Paris for building governed agents grounded in Slack, Drive, Notion — features, pricing, pros, cons.

Key Features:

• •Visual app builder for designing multi-step LLM workflows without code
• •Managed retrieval-augmented generation (RAG) with semantic search over connected data
• •Multi-model support across GPT-4, Claude, Mistral, and other LLMs

Open-source self-improving AI agent framework by Nous Research with persistent memory, 40+ tools, and 135K+ GitHub stars.

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Durable-execution platform for AI workflows and agents — write step-functions in TypeScript or Python, get retries, scheduling and observability for free.

Key Features:

• •Step-based function execution with automatic retries
• •Event-driven workflow triggering and orchestration
• •Local development server with production parity

Open-source visual editor (acquired by DataStax/IBM) for building, prototyping, and deploying agentic LLM workflows with hundreds of pre-built components.

Key Features:

• •Low-code visual builder for agentic and RAG applications
• •Build and deploy AI agents and MCP servers
• •Supports major LLMs, vector databases, and AI tools

Stateful AI agent platform from the MemGPT team, providing long-term memory, tools, and a managed runtime for production agents.

Key Features:

• •Persistent agents instead of stateless chat sessions
• •Memory palace for viewing an agent’s memory
• •Background memory agents / dream agents that refine prompts, context, and skills over time

General-purpose autonomous AI agent that browses the web, runs code, and completes long-horizon tasks end-to-end.

Key Features:

• •Autonomous Task Planning
• •Browser Operator
• •Wide Research

TypeScript-native framework for building AI agents, workflows, and RAG pipelines — from the team behind Gatsby.js.

Key Features:

• •TypeScript-first agentic framework for agents, tools, memory, and instructions
• •Durable workflows and typed control flow
• •Observability with metrics, logs, and traces

Smithery is the registry and hosted runtime for Model Context Protocol servers — discover, install and run MCP servers for Claude, Cursor, Windsurf and more.

Key Features:

• •Searchable registry of thousands of MCP servers with install counts and reviews
• •One-line install for Claude Desktop, Cursor, Windsurf, Cline, OpenClaw and VS Code
• •Hosted streamable HTTP runtime for remote MCP servers

Cloud platform for building, deploying, and scheduling persistent AI workers from chat — backed by hundreds of pre-built tools and full MCP support.

Key Features:

• •AI Agent Development
• •Business Automation
• •No-Code Platform