6 results
AutoGPT
AutoGPT began as an open-source autonomous agent project and now ships a hosted platform built around named AI specialists. You pick an expert for content, sales, research or administration, brief it in plain language, and connect the accounts it may use. A coordinating assistant called Otto routes requests to the right specialist and can pull several into one job. Experts run on schedules, and each has its own spending approval threshold. A workflow builder remains available for defining steps by hand, and the whole platform can still be self-hosted with Docker.
Make
Make is a visual automation platform where you connect apps as modules on a canvas and pass data between them. A scenario can branch, filter, iterate over lists and call an HTTP endpoint, so one tool covers simple app-to-app syncs and longer multi-step processes. It connects to more than 3,000 apps, includes an MCP server, and offers AI agents plus a natural-language builder that turns a description into a working scenario. Pricing runs on credits, where each module action consumes one, and plans differ in execution frequency, log retention and priority execution.
n8n
n8n is a workflow automation tool you can run in the cloud or host yourself. Workflows are built on a visual canvas with more than 1,000 nodes, and each run counts as one execution no matter how many steps it contains. The AI agent node, MCP server trigger and chat hosting place language models inside ordinary business automations, connected to databases, CRMs and internal APIs. Code steps support JavaScript and Python when the visual builder runs out of room. The Community Edition is free to self-host, and cloud plans are priced by monthly executions.
CrewAI
CrewAI provides both an open-source Python framework and a hosted studio for building multi-agent systems. In the studio you describe a process in plain language or sketch it on a canvas, and the builder assembles agents with roles, tools and an order of steps. Workflows export as a Python project, an MCP server or a UI component, and connect to GitHub for version control. The runtime records every model and tool call for tracing, and adds approval gates, PII redaction and role-based access for teams that need oversight before agents reach production systems.
Relevance AI
Relevance AI is a platform for assembling teams of AI agents that handle sales, support and research work. You build agents from prompts, tools and your own data, give them triggers from more than 1,000 connected apps, then group them into workforces that pass tasks between each other. Agents can work in chat, place phone calls or join meetings, and the platform counts every tool run as an action so usage stays measurable. Pro covers solo builders, Team adds calling, shared projects and analytics, and Enterprise adds SSO, audit logs and custom action volumes.
Lindy
Lindy is a hosted AI assistant that works inside Slack, email and calendar instead of a separate chat window. You describe a task in plain language, connect the accounts it needs, and it carries the work out across roughly 1,500 integrations. Recurring jobs such as a morning brief, a Monday report or post-meeting notes run on a schedule. It records and indexes meetings so teammates can search what was said, drafts replies in your writing style, and keeps a memory folder you can read and edit. Actions with outside effects wait for your approval.