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Prepared November 4, 2026 · 2 of 2 requested options

Public facts and recorded sources. Prices, availability and operating conditions can change; confirm details directly before deciding. Different services and billing units may not be comparable.

Source-code repository · Not recorded

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Published price
No checked amount
Price terms
Open-source repository; infrastructure and model usage may cost extra.
API
Not recorded
SDK
Not recorded
Self-hosting
Not recorded
Integrations
Not recorded
Free trial
Not recorded
Repository primary language
Python

Source checked: 2026-09-02

https://github.com/TransformerOptimus/SuperAGI
Oldest linked source check
2026-09-02. This is not a confirmation of current availability.
Directory listing
https://theaiagentmarket.com/agents/transformeroptimus-superagi
View source repository
https://github.com/TransformerOptimus/SuperAGI

Questions to confirm

  1. Which license and usage restrictions apply to this repository and its dependencies?
  2. What installation, hosting, hardware or model costs should we budget for?
  3. Which releases are maintained, and what documentation and support are available?
  4. How can we test compatibility and security for our intended use?

Recorded source links

Source-code repository · Not recorded

No-code multi-agent framework to build LLM Agents, workflows and applications with your data

Published price
No checked amount
Price terms
Open-source repository; infrastructure and model usage may cost extra.
API
Not recorded
SDK
Not recorded
Self-hosting
Not recorded
Integrations
Not recorded
Free trial
Not recorded
Repository primary language
Python

Source checked: 2026-09-02

https://github.com/trypromptly/LLMStack
Oldest linked source check
2026-09-02. This is not a confirmation of current availability.
Directory listing
https://theaiagentmarket.com/agents/trypromptly-llmstack
View source repository
https://github.com/trypromptly/LLMStack

Questions to confirm

  1. Which license and usage restrictions apply to this repository and its dependencies?
  2. What installation, hosting, hardware or model costs should we budget for?
  3. Which releases are maintained, and what documentation and support are available?
  4. How can we test compatibility and security for our intended use?

Recorded source links