SuperAGI

Now an AI sales CRM -- its open-source agent framework stalled.

Autonomous GUI Infrastructure Monitoring Multi-Agent Open Source

Agents & Automation Open Source Open Source

Researched 8 May 2026, 20:44 SGT · Published 8 May 2026, 08:00 SGT · Reviewed 11 Jul 2026

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RECATOOLS Score

6.5 / 10

Capability

6.5

Value for money

Ease of use

5.5

ASEAN readiness

API quality

6.5

Founded

2023

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 (17k+ GitHub stars, no release since Jan 2024) but the company's live product has pivoted to an AI-native CRM and AI SDR platform for outbound sales at web.superagi.com.

Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete.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

Fully free self-hosted

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

ASEAN Perspective

SuperAGI in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

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 with 17,000+ stars, but there's been no release since January 2024, unpatched security issues are reported, and issues go unanswered. The company itself pivoted: its live product today is an AI-native CRM and AI SDR platform for outbound sales, running at web.superagi.com, with a free tier (limited monthly credits) and paid plans above it. G2 reviewers rate that CRM product around 4.6/5 across 441 reviews, praising prospecting and ease of use, while flagging missing features and bugs. Developers hunting for open-source agent infrastructure should look at LangGraph, CrewAI or AutoGen instead -- this project stalled.

Independent AI-assisted assessment by RECATOOLS.

What people say

Seventeen thousand GitHub stars and 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, a handful of security reports have gone unpatched, and 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: an AI-native CRM and AI SDR platform for sales teams, running prospecting, outbound/inbound agents and pipeline enrichment under one system of record at web.superagi.com. 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.

That pivot seems to be working. G2 lists roughly 441 reviews averaging 4.6/5, with reviewers repeatedly praising ease of use, customer support and company-enrichment data they say beats HubSpot or Pipedrive on the same task. The recurring complaints are ordinary SaaS growing pains -- missing features, occasional bugs and glitches, a learning curve on complex workflows -- not the kind of red flags the dead GitHub repo raises. 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.

Summary of public user & expert reviews, compiled by RECATOOLS.

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

Is SuperAGI free?

Yes. The open-source version is free to self-host.

Does SuperAGI require coding?

The GUI makes basic agent configuration accessible. Complex customisations require Python.

How does SuperAGI compare to AutoGPT?

SuperAGI provides better infrastructure for multi-agent systems and has a GUI. AutoGPT is simpler for single-agent use.

What tools can SuperAGI agents use?

Web browsing, code execution, GitHub, email, file management, and many others via the toolkit marketplace.

Can SuperAGI run multiple agents simultaneously?

Yes. Concurrent agent execution is a core infrastructure feature.

About this listing

Researched on Friday, 8 May 2026 at 20:44 SGT (UTC+8)

Published on Friday, 8 May 2026 at 08:00 SGT (UTC+8)

Last reviewed Saturday, 11 July 2026 (1 week ago)

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.

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