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Give AI assistants persistent project memory that can be queried and taught.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nous" yet — see the docs or source repo.
Please save the following project decision into long-term memory: We chose SQLite as the primary local storage because it is simple to deploy and works well for offline development. Store it as an architecture decision.
The tool saves the decision and rationale as a project memory entry that can be queried later.
Query the project memory for conventions related to code style or naming standards, and summarize them for me.
It returns stored patterns or conventions and provides a short summary.
Teach the following domain concept into project memory: An 'active customer' is defined here as a customer who has completed at least one paid action in the last 30 days.
The tool stores the concept definition so the assistant can reuse it consistently in the same project.
Developers or product managers can use it to save key concepts, decisions, and patterns across multi-turn conversations and project phases. The assistant can then continue working with that retained context.
When a team already has established terms, conventions, or recurring solutions, they can be written into project memory and retrieved later by query. This helps keep AI assistant outputs more consistent.
In research or product workflows, users can teach important definitions and working patterns to the assistant so it keeps a consistent understanding in later analysis or discussions. It fits projects that need accumulated context.
It provides persistent project memory for AI assistants through MCP tools. Users can query or teach concepts, decisions, and patterns, which are stored in an SQLite database.
The provided description explicitly mentions concepts, decisions, and patterns. For whether it supports additional data types, see the source repository.
It is known to work via MCP and uses an SQLite database to store project memory. For exact installation steps, runtime requirements, or any key requirements, see the source repository.
Give AI assistants a persistent, searchable memory layer and context management.
Store and retrieve project memory for coding assistants via MCP tools.
Give AI assistants persistent memory, semantic search, and layered context management.
Give AI assistants persistent personal memory across MCP clients.
Store project rules, context, and decisions for reuse across MCP clients.
Give AI assistants persistent long-term memory through automatic storage and retrieval.