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Provide AI agents with traceable bi-temporal long-term memory in SQLite.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.las7/memharness" MCP server from askskill: Run: claude mcp add 'io-github-las7-memharness' -- npx -y @memharness/mcp
Connect this MCP tool to my AI agent and store user preferences, past tasks, and provenance in SQLite, with time-based querying later.
A persistence-layer design or integration plan for writing and retrieving long-term agent memory.
Help me design a workflow so the AI agent records each memory's source, write time, valid time, and update history for auditing and rollback.
A memory management plan including provenance tracking, bi-temporal fields, and audit logic.
I want the agent to query 'what user requirements were known last Wednesday'; give me a query approach and prompt examples using this tool.
A query approach and examples for reconstructing memory state at a historical time.
Provide structured memory and intent capture for AI agents with lower token costs.
Give AI agents local-first memory storage and hybrid retrieval in one SQLite file.
Give AI agents persistent memory across sessions with efficient on-demand context loading.
Give AI agents local-first persistent memory with namespace-scoped SQLite storage.
Give AI coding agents persistent local shared memory across agents.
Give AI coding agents persistent cross-project memory and connected context retrieval.