Teenage-AGI
Autonomous Python AI agent with persistent memory that thinks before it acts.
Data verified Sep 14, 2026
Score
About Teenage-AGI
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.
Screenshots

Commonly Cited Strengths & Limitations
Strengths
- Remembers its name and other characteristics
- Carries on a conversation well without a context window
- Retains memories even after being shut down
Limitations
- Reported to be very slow
- GPT-4 model access errors requiring fallback to GPT-3.5-turbo
- Pinecone API connection/setup issues when running the agent
- Cloned directory can be read-only, preventing writes to the memory count file
Common Use Cases
- Giving an AI agent persistent long-term memory
- Enabling an AI agent to think before responding
- Building conversational AI that remembers across sessions
Details
- Pricing Model
- Free
- Category
- Productivity & Automation
Who is Teenage-AGI for?
AI researchers
Experiment with generative agent concepts from the Simulacra paper, giving an agent memory and internal reasoning.
Python developers
Clone the repo, set OpenAI and Pinecone keys, and run the agent locally to build on top of it.
Frequently Asked Questions
Is Teenage-AGI free?
Yes, Teenage-AGI is free to use.
Does Teenage-AGI have an API?
Teenage-AGI does not currently offer a public API.
Is Teenage-AGI open source?
Yes, Teenage-AGI is open source.
What does Teenage-AGI integrate with?
Teenage-AGI integrates with OpenAI, Pinecone, Docker, GPT-4.
Is Teenage-AGI cloud-based or self-hosted?
Teenage-AGI is offered as an on-premise (self-hosted) deployment.
What are the downsides of Teenage-AGI?
Reported to be very slow Also, GPT-4 model access errors requiring fallback to GPT-3.5-turbo
Who is Teenage-AGI best for?
Teenage-AGI is best suited for AI researchers, Python developers.
What can I use Teenage-AGI for?
Common uses for Teenage-AGI include giving an ai agent persistent long-term memory, enabling an ai agent to think before responding, building conversational ai that remembers across sessions.
How does Teenage-AGI compare to Designs.ai?
Teenage-AGI and Designs.ai are both used for productivity & automation -- specifically ai agent platforms. See the full side-by-side comparison for pricing and feature differences.
Key Features
- Persistent memory via PineconeStores the agent's memories in a Pinecone vector database so it doesn't forget them even after being shut down.
- Think before actingThe AI thinks about what action to take and stores that thought before generating an output.
- Memory counterSaves the index the agent is on so memories persist across restarts.
- Read and think commandsPrefix a query with 'read:' to feed the agent information of any length or 'think:' to insert a memory.
- Docker supportCan be run isolated in a container using docker-compose.
Integrations
Technical Details
- Deployment
- On-Premise
- Free Plan
- Available
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