agent-brain-cli

v10.2.1 suspicious
5.0
Medium Risk

Agent Brain CLI - Command-line interface for managing AI agent memory and knowledge retrieval

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential obfuscation techniques and shell executions, although these may serve legitimate purposes. The maintainer's single package history raises suspicion.

  • moderate obfuscation risk
  • potential misuse of shell executions
Per-check LLM notes
  • Network: Network calls appear to be for establishing connections and making HTTP requests, which could be legitimate depending on the package's functionality.
  • Shell: Shell executions seem to involve running Git commands and executing external processes, which might be part of the package's intended operations but warrant closer inspection.
  • Obfuscation: The code snippet suggests an attempt to dynamically import modules, which could be used for obfuscation to hide the true purpose of the imports.
  • Credentials: No clear signs of credential harvesting detected.
  • Metadata: The maintainer has only one package, suggesting a new or less active account which could be suspicious.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • > bool: try: with socket.create_connection((host, port), timeout=timeout): return True
  • e None self._client = httpx.Client(timeout=timeout, headers=headers) @classmethod def
  • tr(socket_path)) with httpx.Client( transport=transport, base_url="http
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • ork. try: __import__(module_name) return CheckResult( f"optional_
⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • ): process = subprocess.Popen( server_cmd, env=env
  • it. try: result = subprocess.run( ["git", "rev-parse", "--show-toplevel"],
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository SpillwaveSolutions/agent-brain appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Spillwave Solutions" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agent-brain-cli 
Create a mini-application named 'AI Memory Manager' using the Python package 'agent-brain-cli'. This application should allow users to manage their AI agent's memory and knowledge efficiently. The app should include the following core functionalities:

1. **Memory Management**: Users should be able to add new memories (pieces of information) to their AI agent's memory database. Memories could include text snippets, images, or even structured data like JSON.
2. **Knowledge Retrieval**: Implement a feature where users can query the AI agent's memory based on keywords or phrases. The application should return relevant memories that match the query.
3. **Memory Visualization**: Provide a simple visualization of the memory structure, showing connections between different pieces of information.
4. **Security Features**: Ensure that sensitive information is encrypted before being stored in the memory database.
5. **CLI Interface**: Develop a command-line interface that allows users to interact with the application easily. For example, commands like 'add', 'query', 'visualize', and 'encrypt' should be available.
6. **Integration with External Tools**: Allow integration with external tools or services such as Google Drive or Dropbox for importing/exporting memories.

To utilize the 'agent-brain-cli' package effectively, follow these steps:
- Install the package using pip.
- Use the provided functions to manage the memory database.
- Leverage the package's built-in security features for encrypting data.
- Explore the package's documentation for additional functionalities that can enhance your application.

This project will not only demonstrate the power of 'agent-brain-cli' but also provide a practical tool for managing AI agent knowledge.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!