We release patches for security vulnerabilities. Currently supported versions:
| Version | Supported |
|---|---|
| 0.4.x | β |
| 0.3.x | β |
| 0.2.x | β |
| 0.1.x | β |
We take the security of AgentMind seriously. If you believe you have found a security vulnerability, please report it to us as described below.
- Open a public GitHub issue
- Discuss the vulnerability in public forums or social media
1. Email the details to:
- Primary:
security@agentmind.dev - Backup:
cym3118288@gmail.com
2. Include the following information:
- Type of vulnerability
- Full paths of source file(s) related to the vulnerability
- Location of the affected source code (tag/branch/commit or direct URL)
- Step-by-step instructions to reproduce the issue
- Proof-of-concept or exploit code (if possible)
- Impact of the issue, including how an attacker might exploit it
| Timeline | Action |
|---|---|
| 48 hours | We will acknowledge receipt of your vulnerability report |
| 7 days | We will send a more detailed response indicating the next steps |
| Ongoing | We will keep you informed of the progress towards a fix |
| As needed | We may ask for additional information or guidance |
- We will coordinate with you on the disclosure timeline
- We prefer to fully remediate vulnerabilities before public disclosure
- We will credit you in the security advisory (unless you prefer to remain anonymous)
We recognize security researchers who responsibly disclose vulnerabilities:
- [Your name could be here!]
Thank you to all researchers who help keep AgentMind secure.
When using AgentMind:
Never commit API keys to version control. Use environment variables.
# Good
export OPENAI_API_KEY=sk-...
# Bad - Don't do this!
# api_key = "sk-..." in codeAlways validate and sanitize user inputs before passing to agents.
# Validate inputs
def sanitize_input(user_input: str) -> str:
# Remove potentially harmful content
return user_input.strip()Be cautious when giving agents access to tools that can modify system state.
Use trusted LLM providers and keep credentials secure.
Keep AgentMind and its dependencies up to date.
pip install --upgrade agentmindConsider running agents in isolated environments for sensitive operations.
| Risk | Description | Mitigation |
|---|---|---|
| LLM Prompt Injection | Agents may be susceptible to prompt injection attacks | Validate and sanitize all inputs |
| Tool Execution | Tools executed by agents run with the permissions of the Python process | Use permission controls and sandboxing |
| Memory Storage | Conversation history may contain sensitive information | Secure storage appropriately, encrypt if needed |
Security updates will be released as patch versions and announced via:
- GitHub Security Advisories
- Release notes
- README updates
Thank you for helping keep AgentMind and its users safe!