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GitHub / ksm26 / LLMs-as-Operating-Systems-Agent-Memory

This repository introduces the Letta framework, empowering developers to build LLM-based agents with long-term, persistent memory and advanced reasoning capabilities. It leverages concepts from MemGPT to optimize context usage and enable multi-agent collaboration for real-world applications like research, HR, and task management.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ksm26%2FLLMs-as-Operating-Systems-Agent-Memory

Stars: 1
Forks: 2
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 43 KB
Dependencies parsed at: Pending

Created at: 4 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: about 1 month ago

Topics: advanced-reasoning, agent-memory, ai-applications, ai-framework, ai-innovation, ai-research, ai-with-memory, artificial-intelligence, collaborative-agents, context-optimization, intelligent-agents, letta-framework, llm-innovation, llms, memgpt, memory-agents, memory-enhanced-agents, memory-management, multi-agent-systems, persistent-memory

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