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Memgpt
Overview :
MemGPT is a fixed-context LLM processor enhanced with a hierarchical memory system and a set of functions, enabling it to manage its own memory. The primary context is the (fixed-length) LLM input. MemGPT parses the LLM's text output in each processing cycle and controls or returns control when executing function calls, used to move data between the main and external contexts. When the LLM generates a function call, it can request immediate execution to link functions. In yield scenarios, the LLM will not execute again until the next external event triggers (e.g., a user message or scheduled interruption).
Target Users :
Extends the context window of LLMs to handle long conversations and document analysis tasks.
Use Cases
Using MemGPT for long document analysis
Creating conversational agents with MemGPT that can remember, reflect, and dynamically evolve
Extending the context window of LLMs using MemGPT
Features
Enhances the memory management capabilities of LLM processors
Parses LLM text output and executes function calls
Moves data between the main and external contexts
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