agentmem-py

v0.2.1 suspicious
4.0
Medium Risk

Memory API for AI agents — Postgres-native, graph memory included, no Neo4j

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate network risk due to potential unauthorized data transmission via HTTP calls with authorization headers. However, other risks such as shell execution, obfuscation, and credential harvesting are low. The metadata risk is elevated due to the maintainer's new and inactive account.

  • Moderate network risk due to HTTP calls with authorization headers.
  • Elevated metadata risk due to new and inactive maintainer account.
Per-check LLM notes
  • Network: The presence of HTTP calls with authorization headers may indicate legitimate API usage but could also suggest unauthorized data transmission.
  • Shell: No shell execution patterns detected, indicating low risk of direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some suspicion but not definitive proof of malintent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • rip("/") self._http = httpx.Client( headers={ "Authorization": f"Be
  • rip("/") self._http = httpx.AsyncClient( headers={ "Authorization": f"Be
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository rooney011/agentmem-sdk appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 agentmem-py 
Create a Personal Knowledge Manager (PKM) app using the 'agentmem-py' Python package. This PKM will allow users to store, retrieve, and manage notes, documents, and links in a structured way. The app should utilize 'agentmem-py' to leverage its Postgres-native graph database capabilities without needing Neo4j, thus providing efficient storage and retrieval of interconnected data.

### Project Steps:
1. **Setup Environment**: Install Python and necessary libraries including 'agentmem-py'. Ensure you have a PostgreSQL database set up for the application.
2. **Design Database Schema**: Use 'agentmem-py' to design a schema that supports storing notes, tags, and links between them. Consider entities like 'Note', 'Tag', and 'Link' which connect notes based on thematic relevance or content.
3. **Build CRUD Operations**: Implement Create, Read, Update, and Delete operations for notes and tags. Utilize 'agentmem-py' to handle these operations efficiently through its native memory management.
4. **Graph Navigation**: Enable users to navigate through their notes via tags and links. Implement a feature where users can explore notes connected to a specific tag or note, showcasing 'agentmem-py's graph traversal capabilities.
5. **Search Functionality**: Develop a search function that allows users to find notes based on keywords or tags. Optimize searches to leverage 'agentmem-py's indexing and query capabilities for faster results.
6. **User Interface**: Create a simple web interface using Flask or Django to interact with the PKM. Users should be able to add, edit, delete notes, and explore connections between notes and tags.
7. **Security Measures**: Implement basic security measures such as user authentication to ensure only authorized users can access and modify their data.
8. **Testing & Deployment**: Test all functionalities thoroughly before deploying the application. Consider hosting it on platforms like Heroku or AWS for wider accessibility.

### Suggested Features:
- **Note Highlighting**: Allow users to highlight important sections within notes.
- **Version Control**: Maintain different versions of notes for historical tracking.
- **Collaboration**: Enable multiple users to work on the same notes with real-time updates.
- **Integration**: Integrate with other services like Google Drive or Dropbox for easy document management.