by AI-secure · Agent Tool · ★ 220
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AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning 🔥🔥 Recent news please check Project page ! This repository provides the official PyTorch implementation of the following paper: [AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning]() Zhaorun Chen1, Zhen Xiang2, Chaowei Xiao 3, Dawn Song 4, Bo Li1,2 1University of Chicago, 2University of Illinois, Urbana-Champaign 3University of Wisconsin, Madison, 4University of California, Berkeley <img src="assets/method.png" width="
| Stars | 220 |
| Forks | 32 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 48.38/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-17 |
| Created | 2024-03-22 |
| Platforms | python |
| Est. Tokens | ~16k |
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AgentPoison is [NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning". It is categorized as a Agent Tool with 220 GitHub stars.
AgentPoison is primarily written in Python. It covers topics such as llm-agent, red-team, retrieval-augmented-generation.
You can find installation instructions and usage details in the AgentPoison GitHub repository at github.com/AI-secure/AgentPoison. The project has 220 stars and 32 forks, indicating an active community.
AgentPoison is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AgentPoison on Agent Skills Hub include Roy, BRAD, tribe. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.