Soul-XuYang/PgoAgent

This is a multi-agent processing system with long-term and short-term memory+mcp+local tools+Agentic Rag. It uses the LLM locally deployed by ollma and PostgreSQL to store user's data, and the back-end uses grpc,gorm and gin to coordinate the output of the agent.

41
/ 100
Emerging

This is an intelligent assistant system designed to help you manage complex tasks and conversations. It takes your queries and an automatically updated memory of past interactions, then uses multiple specialized agents and relevant stored information to provide comprehensive answers or execute multi-step plans. This system is ideal for individuals or teams who need a smart, always-learning assistant to handle information retrieval, task automation, and complex problem-solving.

Use this if you need an intelligent assistant that can remember past conversations, use various tools, and break down complex problems into manageable steps to find solutions or perform actions.

Not ideal if you need a simple chatbot for basic questions without memory, complex reasoning, or integration with external tools.

intelligent-assistant knowledge-management task-automation multi-step-problem-solving conversational-AI
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 13 / 25
Community 14 / 25

How are scores calculated?

Stars

7

Forks

3

Language

Python

License

MIT

Last pushed

Jan 31, 2026

Commits (30d)

0

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