aemp

v0.1.0 suspicious
6.0
Medium Risk

AI Episodic Memory Protocol - Structured episodic memory sharing between AI agents

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package aemp v0.1.0 is assessed as suspicious due to potential typosquatting targeting 'amqp' and a lack of maintainer history, despite showing no direct malicious activities such as network calls or shell executions.

  • Typosquatting attempt detected
  • Lack of maintainer history
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of being potentially malicious due to the typosquatting attempt and lack of maintainer history.
  • Typosquatting target: amqp

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting

No credential harvesting patterns detected

Typosquatting score 3.0

Possible typosquat of: amqp

  • "aemp" is 2 edit(s) from "amqp"
Registered Email Domain

Email domain looks legitimate: gmail.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 aemp
Create a collaborative storytelling app using the 'aemp' package in Python. This app will allow multiple users to contribute to the same story in real-time, each adding their own chapter or event while maintaining a coherent narrative. The app will utilize the structured episodic memory sharing capabilities of 'aemp' to ensure that all contributions are contextualized within the existing storyline, preventing contradictions and ensuring continuity.

Steps to develop the app:
1. Set up a Flask backend server to handle user connections and data storage.
2. Integrate the 'aemp' package to manage episodic memory for the story, ensuring that new chapters are added in a way that respects the established context and timeline.
3. Develop a frontend interface using HTML/CSS/JavaScript where users can read the current story and submit new chapters.
4. Implement a system to validate new contributions against the existing story to maintain consistency and coherence.
5. Allow users to view the history of changes made to the story, including who contributed which part and when.
6. Add authentication and authorization mechanisms to control access to different parts of the story.
7. Optionally, incorporate a feature where the app suggests possible next events based on the existing story content, utilizing the episodic memory structure provided by 'aemp'.
8. Test the app thoroughly to ensure smooth operation and robustness in handling concurrent user inputs.

Features:
- Real-time collaboration among multiple users.
- Validation of new story contributions to ensure they fit the existing narrative.
- History tracking of story modifications.
- User authentication and role-based access controls.
- Optional suggestion generation for potential future story developments.