#continual-learning (12 Repositories)
Ranked open-source repositories tagged with #continual-learning, scored by pull request acceptance likelihood and maintainer engagement velocity.
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12 repositories tagged #continual-learning
Human-Agent-Society/reef
Infrastructure for continually self‑improving agents
letta-ai/letta-code
Stateful agents that are like people, with memory, identity, and the ability to learn and adapt
Fergana-Labs/stash
Open-source infrastructure for agents that learn from experience. Capture production traces and turn lessons into reusable knowledge and skills.
plastic-labs/honcho
Memory library for building stateful agents
IAAR-Shanghai/Awesome-AI-Memory
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
jrz97619761/test-model-thing
A small proof-of-concept language model (not an LLM) incorporating latent-space prediction, internal state using recurrent trace units, and byte-by-byte output, built with MLX.
qianlima-lab/awesome-lifelong-llm-agent
TPAMI 2026 | This repository collects awesome survey, resource, and paper for lifelong learning LLM agents
adaptive-machine-learning/CapyMOA
CapyMOA does efficient machine learning for data streams in Python. CapyMOA is a toolbox of methods and evaluators for: classification, regression, clustering, anomaly detection, semi-supervised learning, online continual learning, and drift detection for data streams.
ContinualAI/continual-learning-papers
Continual Learning papers list, curated by ContinualAI
rsi-gear/gear
Gear (General Evolution Architecture) is RSI infrastructure for AI agents. Use Gear to refine agent harnesses.
A-EVO-Lab/a-evolve
The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".
EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.