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Give AI agents persistent memory with retrieval and relevance ranking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "memex" yet — see the docs or source repo.
Store the following user preferences and issue progress in memex, and prioritize retrieving the most recent and relevant memories in future conversations: prefers Chinese replies, purchased Pro plan, last ticket ID 4821, current issue is API rate limiting.
The agent automatically remembers user preferences, past tickets, and current issue context across future sessions.
Save these key project facts into memex: backend uses FastAPI, database is PostgreSQL, authentication is JWT, and deployment is via Docker Compose. Retrieve relevant project memory before answering future questions.
The coding assistant can reuse the project's stack and constraints across sessions, reducing repeated explanations.
Retrieve memories from memex related to “quarterly goal changes,” and use recency decay to prioritize the most important content from the last two weeks, summarized by relevance ranking.
Returns a memory summary balancing semantic relevance and recency, helping restore context quickly.
Give AI coding agents persistent local shared memory across agents.
Save and reuse AI memory across platforms for more consistent workflows.
Gives AI assistants human-like memory decay and reinforcement for better long-term interactions.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give coding agents persistent cross-session memory for project context and decisions.
Give AI agents persistent memory and hosted access for continuity across sessions.