Give AI agents local-first persistent memory with namespace-scoped SQLite storage.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "lean-memory" MCP server from askskill: Run: claude mcp add 'io-github-wuesteon-lean-memory' -- uvx lean-memory
Use lean-memory to create a `project-alpha` namespace for my coding assistant, save user preferences, project conventions, and recent task summaries, and explain how to read them in future conversations.
A memory storage plan for the agent, example records to write, and instructions for retrieving that context later.
Help me design a multi-project memory structure with lean-memory by creating separate namespaces for `client-a`, `client-b`, and `internal-rd`, preventing cross-project leakage, and suggest naming conventions.
A clear namespace strategy, isolation principles, and management recommendations for multi-project use.
I want my AI workflow to run fully locally. Using lean-memory, design a memory setup that depends on neither servers nor cloud services, including SQLite file organization, backup strategy, and suitable use cases.
A local-first architecture outline covering file layout, backup approach, and a summary of suitable use cases.
Give AI agents local-first memory with searchable, deterministic recall.
Give AI coding agents persistent local shared memory across agents.
Give AI agents local-first memory storage and hybrid retrieval in one SQLite file.
Give AI agents local long-term memory with private hybrid retrieval.
Give AI agents persistent memory across sessions with efficient on-demand context loading.
Provide persistent memory for AI agents across sessions and tasks.