$ loading_
Store, search, and compress contextual memory for more effective LLM interactions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Copilot Memory Store" yet — see the docs or source repo.
Store the key points from this mobile redesign discussion in memory, including target users, core needs, confirmed features, and open issues, so future chats can reference them directly.
The tool saves a structured project memory that can be reused in later conversations.
Search past memories related to “API rate limiting strategy,” prioritizing decisions, constraints, and unfinished items discussed in the last two weeks.
It returns the most relevant historical context summary to quickly restore discussion background.
Compress the project’s historical memories into context suitable for this session and inject it into the conversation, keeping the technical approach, risks, and next steps.
It produces a concise context block and injects it into the current chat, reducing repetition and improving relevance.
Give MCP agents persistent memory and long-running monitoring across sessions.
Give AI agents persistent, searchable structured memory and bidirectional knowledge sync.
Store and retrieve project memory for coding assistants via MCP tools.
Give AI assistants persistent memory, semantic search, and team collaboration.
Store and retrieve semantic memories with natural-language queries.
Provide durable local memory for Codex and other MCP-enabled agents.