Open Source Local AI Assistant by Shen Sean Chen
Open Source Local AI Assistant by Shen Sean Chen
Shen Sean Chen has released the open source code for his local AI assistant, showcasing the functionality of Agent Harness and Loop Engineering.
Open Source Local AI Assistant by Shen Sean Chen
The project demonstrates the functionality of Agent Harness and Loop Engineering through real code. The assistant runs entirely on the user's laptop, with its main loop consisting of about 95 lines of Python.
Main Loop of the System
The entire system consists of a single loop:
message → memory search → agent launch → tool invocation → tracing → evaluation → memory saving → skill development
Memory is stored in a single SQLite file. The project also includes deterministic and LLM-as-a-judge evaluations with pre-release checks, a Telegram gateway, voice activation, and tools for working with Apple Calendar.
Demonstration
In the demonstration, the assistant adds the quarter-finals of the World Cup to the calendar, remembers the user's friends, and responds via Telegram.
Why it matters
AnalysisThis project showcases the capabilities of local AI assistants that can operate without an internet connection, enhancing user privacy and data control.
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