cave-agent
CaveAgent is a tool-augmented agent framework that enables function-calling through LLM code generation and provides runtime state management. Unlike traditional JSON-schema approaches, it natively handles complex Python objects like DataFrames and ndarrays within a persistent runtime, enabling lossless data flow across multi-turn interactions.
Details
- Author
- Ram
- GitHub profile
- @acodercat
- Category
- Code & Development
- Platform
- PyPI
- GitHub
- https://github.com/acodercat/cave-agent
- Framework
- unknown
- Language
- python
- Stars
- 0
- First indexed
- 2026-05-15
- Last active
- —
- Directory sync
- 2026-05-15
Overview
CaveAgent is a tool-augmented agent framework that enables function-calling through LLM code generation and provides runtime state management. Unlike traditional JSON-schema approaches, it natively handles complex Python objects like DataFrames and ndarrays within a persistent runtime, enabling lossless data flow across multi-turn interactions.
Quick start
pip
pip install cave-agentSnippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.
What cave-agent can do
- Agent — Plans, decides, and executes multi-step tasks autonomously.
- Llm — llm task automation.
- Function Calling — function-calling task automation.
Frequently asked questions
What is cave-agent?
How do I install cave-agent?
Is cave-agent open source?
What are alternatives to cave-agent?
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Source & freshness
Profile data for cave-agent is sourced from PyPI, published by Ram.
Last scraped: · First indexed:
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