LycheeMem: Lightweight Memory
LycheeMem provides long-term memory for LLM agents, enabling them to retain information over extended periods and recall it when needed
- •When building conversational AI models that require remembering context or user interactions
- •When developing AI-powered chatbots that need to recall previous conversations or user data
- •When creating AI systems that require retaining knowledge or information over time
python examples/example.py --model-name 'my-llm-model' --memory-size 1024 --threshold 0.5
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/lycheemem && curl -fsSL https://workflowstacks.com/api/skills/lycheemem/claude-skill -o ~/.claude/skills/lycheemem/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
LycheeMem: Lightweight Memory is a large Python project (~29k lines across 123 code files, plus 1 test files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit a month ago, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2main.pyWhere the program starts running
- 3pyproject.tomlDependencies and the commands it exposes
- 4.env.exampleThe API keys and settings you must provide
- 5src/__init__.pyInside src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/lycheemem && curl -fsSL https://workflowstacks.com/api/skills/lycheemem/claude-skill -o ~/.claude/skills/lycheemem/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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