Dynamics-memory
LLM agent 的有界自纠错长期记忆层：把连续、含矛盾的项目交互日志蒸馏成有界、可自更新的记忆库。Bounded, self-correcting long-term memory for LLM agents — candidate pool + value dynamics + tension adjudication + causal-replay evals.
Distill complex interactions into a clear memory system for AI agents, helping them remember past conversations and decisions.
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Free · no card · unsubscribe anytimeLLM agent 的有界自纠错长期记忆层：把连续、含矛盾的项目交互日志蒸馏成有界、可自更新的记忆库。Bounded, self-correcting long-term memory for LLM agents — candidate pool + value dynamics + tension adjudication + causal-replay evals.
Dynamics-memory has 205 stars on GitHub. It has been forked 1 times. Dynamics-memory is written mainly in TypeScript. It has been in active development since 2026. Its main topics are agent-memory, agents, llm, llm-agents.
What is Dynamics-memory?
LLM agent 的有界自纠错长期记忆层：把连续、含矛盾的项目交互日志蒸馏成有界、可自更新的记忆库。Bounded, self-correcting long-term memory for LLM agents — candidate pool + value dynamics + tension adjudication + causal-replay evals.
Is Dynamics-memory open source?
Dynamics-memory is an open-source project.
Is Dynamics-memory free?
Yes. Dynamics-memory is free and open source — you can use, modify and self-host it.
What language is Dynamics-memory written in?
Dynamics-memory is written mainly in TypeScript.
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