SuperAGI

Now a multi-app AI work suite — its open-source agent framework stalled.

Agents & Automation Freemium Open Source
Researched · Published · Reviewed
RECATOOLS Score
6.5 / 10
Capability
6.5
Value for money
7
Ease of use
5.5
ASEAN readiness
6
API quality
6.5
Founded
2023
HQ
San Francisco, California
Users
13000+ GitHub stars
Launched
May 2023
Developer
Ishaan Bhola

Overview

SuperAGI began as an open-source framework for autonomous AI agents (no release since January 2024, with published security vulnerabilities), but the company, now a product of Contlo Inc., sells a per-seat "AI super app for work" built around an AI sales agent.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 28 Sep 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Free
Free
Framework free to self-host under MIT; the SaaS offers a free sign-up

Use cases

Running multiple specialised agents in parallel for complex research tasks Monitoring and debugging autonomous agent performance in production Building a hierarchical multi-agent system where a coordinator spawns specialised workers

What you can produce with SuperAGI

  • Use the live product for what it now is: a per-seat AI work suite built around an AI sales agent
  • Run AI sales agents for prospecting and outreach
  • Read the original open-source agent framework as a 2023 reference implementation
  • Do not build on that framework: no release since January 2024 and 17 published CVEs
  • Separate the two products before evaluating — the listing name refers to the abandoned half
  • Pick a maintained agent framework if the framework is what you came for
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RECATOOLS Verdict

SuperAGI isn't the tool its name suggests anymore. The open-source autonomous-agent framework that built its reputation — GUI, tool marketplace, agent-to-agent orchestration — still sits on GitHub, but there has been no release since January 2024, the US vulnerability database lists 17 CVEs against it including a critical code-execution flaw, and security fixes go unmerged. The company itself pivoted: it now sells a per-seat "AI super app for work", from Contlo Inc., built around an AI sales agent, though its pricing page showed no prices when we checked and its reviews could not be read. Developers hunting for open-source agent infrastructure should look at LangGraph, CrewAI or AutoGen instead — this project stalled.

Desk research by RECATOOLS from public sources, written with AI assistance — not a hands-on test. How we review

What we found

Zero releases since January 2024 -- that's the open-source framework this listing was originally written about, and it's effectively abandoned. Issues pile up unanswered, and the security record is worse than a few unpatched reports: the US National Vulnerability Database lists 17 CVEs against it, one a critical code-execution flaw affecting all versions, a 2026 disclosure records that the vendor did not respond, and security fixes sit as unmerged pull requests. Anyone cloning it today for production agent infrastructure is taking on real risk. If you specifically want self-hostable multi-agent tooling, LangGraph, CrewAI and AutoGen are the actively maintained options now.

What SuperAGI the company actually sells in 2026 is a different thing entirely: what it now calls an "AI super app for work", from Contlo Inc., spanning sales, marketing, support, analytics and e-commerce apps, with an AI sales agent at its centre and seats sold monthly or annually. It's a genuine pivot, not a rebrand in name only -- the marketing, the product and the buyer are all sales teams now, not developers building agents.

Whether that pivot is working is harder to check than it should be: G2 would not load for us, the app's own host timed out, and the pricing page loaded without any prices, so neither its reviews nor its prices can be stated as current. What is clear is that the company claims more than 50,000 customers and that its buyer is now a sales team, not a developer building agents. Anyone landing on this entry expecting an open-source agent framework is going to be confused; anyone shopping for an AI sales CRM is looking at a legitimately different, better-supported product than what this page used to describe.

The framework remains MIT-licensed and unarchived, but its last release, v0.0.14, dates from January 2024; treat any deployment of it as unsupported.

Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.

Notable facts

  • SuperAGI's graphical interface for agent management was the first to allow non-developers to configure and monitor autonomous AI agents without writing code.
  • The project received over 3,000 GitHub stars in its first week, driven by the wave of interest in autonomous agents following AutoGPT's release.
  • SuperAGI introduced agent memory persistence — agents can remember context from previous runs — enabling workflows that build on past experience.

Frequently asked questions

Yes. The open-source version is free to self-host.
The GUI makes basic agent configuration accessible. Complex customisations require Python.
SuperAGI provides better infrastructure for multi-agent systems and has a GUI. AutoGPT is simpler for single-agent use.
Web browsing, code execution, GitHub, email, file management, and many others via the toolkit marketplace.
Yes. Concurrent agent execution is a core infrastructure feature.

About this listing

Researched on
Published on
Last reviewed

This entry was compiled from publicly available data including SuperAGI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with SuperAGI unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to SuperAGI directly →

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