Pixelagent

In plain words

Pixelagent is a framework for building stateful AI agents using just 200 lines of code. It's designed for developers who want to create agents that maintain state and context across interactions without extensive boilerplate. The framework simplifies agent development by providing core functionality for state management and agent logic, making it accessible for those building conversational or task-oriented AI systems.

written from the facts on this page · September 2026

From the sources

We see agents as the intersection of an LLM, storage, and orchestration. Build your own agent framework with Pixelagent - an open-source blueprint that handles data infrastructure while giving you complete control. Multi-provider, multimodal support, memory..

We see agents as the intersection of an LLM, storage, and orchestration. Pixeltable unifies this interface into a single declarative framework, making it the de-facto choice for engineers to build custom agentic applications with build-your-own functionality for memory, tool-calling, and more. from pixelagent . openai import Agent # or .anthropic, .bedrock, .gemini agent = Agent ( name = "my_agent" , system_prompt = "You are a helpful assistant." ) print ( agent . chat ( "Hello" )) Plug-and-Play Extensions Tools : Add custom python functions as tools Memory : Implement long-term memory systems with semantic search capabilities Reflection : Add self-improvement loops Reasoning : Add planning…from github.com

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