Best AI Agents Tools

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

Key Features:

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

Key Features:

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.

Key Features:

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.

Key Features:

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

Goose supports local agent, extensible tools, model flexibility for developer task automation and local agent workflows.

Key Features:

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

Key Features:

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

Lindy supports no-code agents, workflow triggers, app integrations for administrative workflows and customer operations.

Key Features:

• •Email triage and drafting for connected inboxes
• •Meeting scheduling, note taking, prep, and follow-up
• •Chat with the assistant through iMessage or SMS

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

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

Goose Desktop supports running assisted desktop workflows and connecting local and remote mcp tools with desktop agent interface, extensible tool connections, local workflow automation.

Key Features: