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Provide AI agents with persistent memory, knowledge retrieval, and feedback-driven learning.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Flux Memory" yet — see the docs or source repo.
Use Flux Memory to create long-term memory for this customer support AI, storing user preferences, past issues, and resolutions, and prioritize retrieving relevant information in future conversations.
A persistent memory structure that lets the AI reuse historical context in later interactions.
Connect user feedback to Flux Memory and adjust knowledge node weights based on helpful and unhelpful answers to continuously improve retrieval results.
Updated memory weights and more accurate knowledge association logic.
Use Flux Memory to organize paper highlights, topic relationships, and conclusions for a research assistant into a searchable graph memory.
A queryable graph-based knowledge base for later Q&A and summarization.
Give AI agents durable local memory, knowledge graph storage, and fast recall.
Build and query persistent knowledge graphs so coding agents remember across sessions.
Enable AI assistants to store, search, and manage persistent semantic memories.
Give AI agents searchable contextual memory across queries, errors, and solutions.
Provide persistent, explainable, MCP-native memory for AI agents.
Store and query namespaced key-value memory for persistent agent context.