Upsonic/Upsonic

Health v2 · maintenance only

Adoption not part of the score

7948 stars · 745 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Upsonic is a Python framework for building autonomous and traditional AI agents, with support for tools, memory, knowledge bases, RAG, multi-agent teams, and production deployment. It provides a unified API over 30+ LLM providers and includes prebuilt autonomous agents that can plan and execute shell and filesystem operations in a sandboxed workspace.

Use cases

• build autonomous AI agents in python
• create a multi-agent team with tools and memory
• add RAG knowledge base to an llm agent
• run an agent that analyzes server logs and executes shell commands
• connect an agent to openai, anthropic, or ollama models
• build a stock analyst agent with yfinance tools
• deploy production ai agents with reliability layer

When to choose

• you want a Python framework for autonomous, multi-step agents with sandboxed execution
• you need provider-agnostic LLM support across 30+ providers including local models
• you want built-in memory, knowledge bases, RAG, and multi-agent teams in one API
• you want prebuilt community agents to run immediately

When to avoid

• you need a simple single LLM call without agent orchestration
• you require a non-Python language
• you need a fully mature, long-proven framework for critical production systems
• you want a no-code or UI-first agent builder

Facets

framework · maturity active

agent-framework rag llm-inference mcp chatbot sdk artificial-intelligence large-language-models machine-learning developer-tools python cross-platform autonomous-agents multi-agent computer-use llm-providers memory knowledge-base openai anthropic ollama universal-commerce-protocol ai-agents retrieval-augmented-generation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Upsonic/Upsonic")