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Security: realcarsonterry/AgentMind

Security

SECURITY.md

πŸ”’ Security Policy

Supported Versions

We release patches for security vulnerabilities. Currently supported versions:

Version Supported
0.4.x βœ…
0.3.x βœ…
0.2.x ❌
0.1.x ❌

🚨 Reporting a Vulnerability

We take the security of AgentMind seriously. If you believe you have found a security vulnerability, please report it to us as described below.

❌ Please do NOT:

  • Open a public GitHub issue
  • Discuss the vulnerability in public forums or social media

βœ… Please DO:

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

πŸ“… What to Expect

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

πŸ“’ Disclosure Policy

  • 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)

πŸ† Security Hall of Fame

We recognize security researchers who responsibly disclose vulnerabilities:

  • [Your name could be here!]

Thank you to all researchers who help keep AgentMind secure.


πŸ›‘οΈ Security Best Practices for Users

When using AgentMind:

1. API Keys

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 code

2. Input Validation

Always 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()

3. Tool Permissions

Be cautious when giving agents access to tools that can modify system state.

4. LLM Providers

Use trusted LLM providers and keep credentials secure.

5. Dependencies

Keep AgentMind and its dependencies up to date.

pip install --upgrade agentmind

6. Sandboxing

Consider running agents in isolated environments for sensitive operations.


⚠️ Known Security Considerations

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

πŸ”” Security Updates

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!

There aren't any published security advisories