by qianlima-lab · AI 工具 · ★ 279
TPAMI 2026 | Lifelong Learning of Large Language Model based Agents: A Roadmap Welcome to the repository accompanying our survey paper on Lifelong Learning of Large Language Model based Agents: A Roadmap. This repository collects awesome paper for lifelong learning (also known as, continual learning and incremental learning) of LLM agent. We identify three key modules-Perception, Memory, and Action-that are integral to agent's ability to perform lifelong learning. Please refer to this survey for detailed introduction.
| Stars | 279 |
| Forks | 18 |
| Language | Python |
| Category | AI 工具 |
| Quality Score | 42.7/100 |
| Last Updated | 2026-02-05 |
| Created | 2024-11-05 |
| Platforms | python |
| Est. Tokens | ~820k |
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awesome-lifelong-llm-agent is TPAMI 2026 | This repository collects awesome survey, resource, and paper for lifelong learning LLM agents. It is categorized as a AI 工具 with 279 GitHub stars.
awesome-lifelong-llm-agent is primarily written in Python. It covers topics such as agent, continual-learning, incremental-learning.
You can find installation instructions and usage details in the awesome-lifelong-llm-agent GitHub repository at github.com/qianlima-lab/awesome-lifelong-llm-agent. The project has 279 stars and 18 forks, indicating an active community.