No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by pgalko · Agent Tool · ★ 791
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is BambooAI safe to install? View the security audit →
BambooAI https://bambooai.org BambooAI is an open-source library that enables natural language-based data analysis using Large Language Models (LLMs). It works with both local datasets and can fetch data from external sources and APIs. Table of Contents Overview Features Demo Videos Installation Quick Start How It Works Configuration Parameters Agent and Model Configuration Auxiliary Datasets Dataframe Ontology (Semantic Memory) Vector DB (Episodic Memory) Usage Examples Web Application Setup Using Docker (Recommended) Using pip package Using complete repository Model Support Environment Variables Logging Performance Comparison Contributing Overview BambooAI is an experimental tool that makes data analysis more accessible by allowing users to interact with their data through natural language conversations. It's designed to: Process natural language q
| Stars | 791 |
| Forks | 86 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.7678635591703/100 |
| Open Issues | 17 |
| Last Updated | 2026-09-16 |
| Created | 2023-05-07 |
| Platforms | docker, gemini, python |
| Est. Tokens | ~547k |
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BambooAI is A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.. It is categorized as a Agent Tool with 791 GitHub stars.
BambooAI is primarily written in Python. It covers topics such as ai, ai-agents, anthropic.
You can find installation instructions and usage details in the BambooAI GitHub repository at github.com/pgalko/BambooAI. The project has 791 stars and 86 forks, indicating an active community.
BambooAI is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to BambooAI on Agent Skills Hub include MakerAi, cai, kea-research. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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