by 0arm · Agent Tool · ★ 74
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Emergent Emergent is a library designed to enhance LLMs like GPT-4 by providing an easy way to integrate external tools and long-term memory capabilities. With Emergent, you can effortlessly transform any Python function into a tool that LLMs can utilize. The library also includes a built-in implementation of a long-term memory system called HMCS (WIP), which seeks to emulate human-like memory organization and recall. https://user-images.githubusercontent.com/29310830/229719121-4d1dae6e-9282-4353-8d54-008bbc35f78e.MOV Usage Making your own tools Using the long-term memory system Overview The HMCS consists of several key components and processes: Log-based memory: Records thoughts, inputs, and outputs as individual logs. Rollup summaries: Periodically consolidates logs into higher-level summaries to reduce memory load. KB articles: Organizes rollup summaries based on semantic similarity to create or update knowledge base (KB) articles. Clustering or gat
| Stars | 74 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 32.75/100 |
| Open Issues | 7 |
| Last Updated | 2023-04-09 |
| Created | 2023-03-20 |
| Platforms | python |
| Est. Tokens | ~10k |
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emergent is An implementation of long term memory and external tools for LLMs. It is categorized as a Agent Tool with 74 GitHub stars.
emergent is primarily written in Python.
You can find installation instructions and usage details in the emergent GitHub repository at github.com/0arm/emergent. The project has 74 stars and 7 forks, indicating an active community.
emergent is released under the MIT license, making it free to use and modify according to the license terms.
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