⚖️Side-by-Side Comparison

Teenage-AGI vs SuperAGI: Which is Better in 2026?

We've compared 2 tools across pricing, features, ratings, and reviews to help you make an informed decision. No paid placements — just facts.

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Feature
Teenage-AGI logo
Teenage-AGI

Productivity & Automation

SuperAGI logo
SuperAGI

CRM & Sales

RatingNo reviews yetNo reviews yet
Pricing—
  • Free:$0/mo
  • Credit Pack:$49/mo
  • SuperSales:$75/mo
  • Enterprise:Contact Sales

as of Sep 11, 2026

Pricing ModelFreeFreemium
Free Plan
Free Trial
API Available
Verified
Founded—2023
HQ—Palo Alto, California, USA
Team Size—Approximately 90 employees (2025)
Platforms——
Top Integrations
OpenAIPineconeDockerGPT-4
GitHubGitLabJenkinsJira+9 more
Key Features
  • Persistent memory via Pinecone
  • Think before acting
  • Memory counter
  • Read and think commands
  • Docker support
  • Autonomous AI Agents
  • Action Console
  • Visual Agent Builder
  • Tool & Model Integration
  • Agent Memory
  • +4 more
Description

Teenage-AGI is an open-source Python project, inspired by BabyAGI and the "Generative Agents" research paper, that gives an AI agent memory using OpenAI and Pinecone. Every time it is queried, it vectorizes and stores the query, retrieves relevant past memories, thinks about what action to take, and then generates a response, storing the interaction back into its Pinecone vector database. Because memories persist in Pinecone with a memory counter tracking the index, the agent retains its memories even after being shut down.

SuperAGI is an open-source, developer-focused platform for provisioning, deploying, and managing autonomous AI agents that can run concurrently toward different goals. It offers a graphical interface, a marketplace of tool integrations, connections to multiple vector databases for long-term memory, agent performance telemetry, and token-usage controls for cost management. The company has since expanded into an all-in-one AI go-to-market suite that layers sales, CRM, outreach, and marketing automation on top of its agent framework.