Open-source generalist AI agent that plans and executes multi-step tasks, web research, data scraping, and file creation, with human-in-the-loop approvals and self-hosting.

Overview

Suna is a fully open-source generalist AI agent built by Kortix AI, designed to turn a plain-language request into a finished deliverable. Rather than just chatting, it plans a multi-step workflow, then uses tools, a sandboxed browser, a code interpreter, file system access, and connectors, to research the web, scrape and clean data, generate documents, and automate repetitive routines. Each agent runs in an isolated Docker environment, and actions that touch external systems require explicit, human-in-the-loop approval, which keeps it safer than fully autonomous scripts.

Because the codebase is Apache-licensed and self-hostable, teams can keep data inside their own infrastructure and audit exactly what the agent did. In our evaluation Suna’s value is transparency plus generality: it is one of the few agents you can run behind your own firewall and still get a Manus-style experience. The managed Kortix Cloud wraps the same engine with auth, RBAC, and SSO for teams that would rather not operate the stack. Pricing runs from free self-hosting through a $29/mo Pro cloud tier.

Key Features

  • Goal-driven agent loop — translates a natural-language objective into a plan and executes it across browser, code, and file tools with iterative self-correction.
  • Isolated execution sandbox — every agent runs in its own Docker container with scoped credentials, so a bad action cannot sprawl across your systems.
  • Self-host or managed cloud — deploy on your own infrastructure for free, or use Kortix Cloud with SSO, RBAC, and per-seat billing.
  • Connectors and tool use — plug in APIs and services so the agent can pull live data and act on it, not just summarize.
  • Auditable logs — view the plan, intermediate steps, and final artifacts to verify how each result was produced.
  • Reusable workflows — save prompt sequences and run them again or schedule them as recurring jobs.

Pricing

PlanPriceFor
Self-hosted$0Run the open-source stack on your own infra
Free (Cloud)$0 (10 min/mo)Try the managed agent with light usage
Pro (Cloud)$29/mo (4 hrs)Individuals automating daily tasks
Enterprise (Cloud)$199/mo (40 hrs)Teams with SSO, RBAC, and support

Comparison

vs. Manus: Manus delivers a polished, fully managed generalist agent with less setup, but it is closed and you trade data control for convenience. Suna is the open alternative, more work to run, but auditable and self-hostable.

vs. AgentGPT: AgentGPT is a lightweight browser agent good for quick experiments, while Suna adds a real sandboxed runtime, file handling, and connectors that make it usable for actual work rather than demos.

vs. n8n: n8n is a visual workflow automator you wire node by node; Suna reasons through goals on its own. Pick n8n for deterministic pipelines, Suna when the task is open-ended and needs judgment.

Compare alternatives

Side-by-side with the 3 closest alternatives.

ToolCategoryPricingVisit
Suna (this) agents, productivityFree $0 (10 min/mo) · From $0/mo Site ↗
ManusagentsCustom pricing Site ↗
AgentGPTagentsFree $0 · From $40/mo Site ↗
n8nagents, productivity, codeFrom $0/mo Site ↗
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Editor’s Review
4.2/5
Pros
  • +Fully open-source and self-hostable for complete data control
  • +Generalist agent handles research, scraping, and file workflows end to end
  • +Transparent execution logs you can audit step by step
Cons
  • Self-hosting needs real DevOps: Supabase, Redis, Daytona, model keys
  • Output quality tracks the model and tools you wire in

Suna is the open-source answer to closed generalist agents: the same describe a goal, watch it act experience, but every line of the agent runs where you can see it. For technical users who want a hackable, privacy-respecting digital employee it is the strongest free option, and the managed cloud removes the setup tax for teams. The honest caveat is that it is not turnkey, running it well demands choosing good models and scoping permissions, and quality varies with that setup.

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