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Give AI assistants smart memory retrieval and context-aware conversation continuity.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "HCE" yet — see the docs or source repo.
Integrate HCE into my customer support AI assistant. It should retrieve relevant memories from past conversations, preferences, and resolved issues, and prioritize the most important context when tokens are limited. Provide an integration plan, memory schema, and retrieval flow.
A memory integration plan for a support assistant, including data structures, retrieval logic, and context budgeting.
I’m building a coding assistant that should remember module relationships, coding conventions, and recent changes in a project. Explain how to use HCE to build an entity graph and semantic tree, then return the most relevant project memories for each user query.
A memory organization and retrieval design for a coding assistant to answer with stronger project context.
Design an HCE-based memory layer for a research AI agent to store paper highlights, key entities, research questions, and interim conclusions, while ensuring each analysis uses the most relevant information.
A memory-layer design for a research agent, covering knowledge structure, retrieval rules, and analysis workflow.
Give AI agents persistent memory across sessions with efficient on-demand context loading.
Give AI coding agents persistent cross-project memory and connected context retrieval.
Give AI persistent memory, causal reasoning, learning, and predictive assistance.
Provide self-hosted long-term memory and hierarchical recall for AI agents.
Give AI assistants persistent memory, adaptive recall, and graph-based knowledge retrieval.
Connect AI assistants to persistent memory for cross-chat long-term context.