$ loading_
Give AI agents long-term memory for persistent learning and context recall
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "smriti-memcore" yet — see the docs or source repo.
Use smriti-memcore as the long-term memory layer for my support AI. Design memory write, retrieval, and forgetting strategies to store customer preferences, past issues, and resolution history, and provide example data structures.
A long-term memory design for support use cases, including memory schema, retrieval flow, and policy examples.
I want to build a research assistant agent that uses smriti-memcore to remember paper topics, user interests, and completed analyses. Help me plan memory categories, retrieval logic, and ways to avoid summarizing the same paper repeatedly.
Memory architecture guidance for a research assistant that tracks tasks over time and reduces duplicate work.
Using smriti-memcore, design a long-term memory mechanism for an AI agent that handles multi-step tasks. It should support task state tracking, key decision traceability, and cross-session continuity, and explain how to integrate it with an existing toolchain.
A long-term memory design for a multi-step task agent, including integration approach and key implementation points.
Give AI agents durable memory storage and retrieval for long-term context management.
Give LLM agents efficient long-term memory across text and multimodal data.
Provide persistent, user-owned cross-tool memory for AI agents and tools.
Gives AI assistants human-like memory decay and reinforcement for better long-term interactions.
Give AI coding agents persistent local shared memory across agents.
Gives AI coding agents persistent local memory across sessions for decisions and rules.