SuperAGI Review, Pricing & Alternatives (2026)

SuperAGI began as a dev-first open-source autonomous AI agent framework from TransformerOptimus. Its repository describes software for building, managing, and running autonomous agents, with concurrent execution, graphical access, tools, workflows, memory, telemetry, and multiple vector database connections. The repository identifies an MIT license and states that the project remains under development. The company website now presents SuperAGI as an AI-native CRM and go-to-market platform combining more than 20 applications and agents for sales, marketing, support, customer success, and related work. These materials describe a pivot in emphasis rather than a confirmed closure of the framework. Developers and commercial buyers therefore encounter two distinct offerings under one brand, with separate deployment, support, and commercial considerations.

The framework supports local Docker deployment, a cloud installation path, and one-click DigitalOcean deployment according to its repository. Users can configure agents with goals, instructions, models, tools, resources, constraints, and iteration settings. Documented capabilities include concurrent agents, action permissions, workflows, memory, performance telemetry, model choices, tool marketplaces, knowledge embeddings, and vector database connections. Release notes also identify public APIs for creating, updating, starting, pausing, and resuming agents, plus retrieving run details and files. The repository lists Python and Node client libraries, which are developer interfaces rather than hosted services. The current company site instead focuses on CRM records, sequences, dialing, meetings, prospecting, workflows, analytics, campaigns, support, and customer success. The repository is licensed under the MIT License, with copyright attributed to TransformerOptimus in 2023.

The latest clearly identified framework release is v0.0.14, published January 16, 2024. It added local large language model integration and multi-GPU support, with instructions for configuring a GPU Docker deployment. Earlier releases documented public APIs, webhooks, DigitalOcean deployment, model and tool consoles, marketplace templates, external model providers, Weaviate support, long-term tool memory, and client libraries. The repository reports an MIT license and warns that the project is under development. The company website includes pages from 2025 and 2026 and now emphasizes a unified AI-native CRM and GTM product. Its customer outcome figures are company-published marketing claims, not independent performance measurements.

The company does not publish a current public rate card for the framework, CRM, or broader platform. The Humanoid SDR page advertises a flat $999 per month figure and compares it with a claimed $6,000 to $10,000 monthly in-house SDR cost. That page describes a combined human SDR and AI-agent service with its own GTM software, rather than a general framework subscription. The open-source repository is available under MIT terms without a software license charge, but operators still pay for compute, model access, databases, networking, and maintenance. Prospective hosted customers should request current prices, included services, usage limits, support, onboarding, integrations, privacy terms, and contract conditions directly from SuperAGI. SuperAGI describes SuperAGI as a dev-first framework for building, managing, and running autonomous agents with concurrent execution.

SuperAGI fits developers who want inspectable agent software, local deployment, configurable tools, and control over model or infrastructure choices. It also fits organizations evaluating a managed sales development service tied to an AI-native CRM and GTM platform. The main tradeoff is product separation: repository capabilities, cloud access, CRM functions, and Humanoid SDR services should not be assumed to share pricing or support terms. The company states that the framework is under development, and its published release information does not show a newer tagged framework release after January 2024. The repository is MIT licensed, permitting users to use, modify, distribute, sublicense, and sell the software subject to license conditions. Choose SuperAGI after confirming which product is being purchased and whether the company documents its current security, support, data, and integration requirements.