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Give AI coding agents long-term memory, search, and organization across sessions.
This is an open-source MIT-licensed MCP memory server with no declared secrets or remote endpoints, and the provided materials do not show clear high-risk red flags. Caution is still warranted because a long-term memory tool inherently persists and reads/writes local memory data, and it also has local code-execution capability as part of normal MCP operation.
The materials explicitly state that no keys or environment variables are required, and no API key, OAuth token, or other sensitive credential is mentioned; based on available facts, credential exposure risk appears low.
The materials explicitly declare no remote host endpoints, and no external service addresses are provided in the README; based on the available facts, there is no evidence of user data being sent to third-party servers.
The system checks indicate that this tool executes code/spawns processes, which is a normal MCP capability and warrants caution rather than a high-risk rating by itself; the materials do not show requests for extra system privileges clearly unrelated to a memory service.
Its stated purpose is to provide cross-session long-term memory for AI agents, so it likely persists, reads, and searches local memory data; however, the materials do not specify storage locations, file scope, or whether data is isolated across projects, leaving data boundaries insufficiently documented.
Positive factors include being open source, auditable, and MIT-licensed; however, it comes from a third-party registry, has 0 stars, unknown maintenance status, and minimal README detail, so supply-chain trust is limited but there are no concrete red flags sufficient for a high-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Memory Server" yet — see the docs or source repo.
Save these project coding conventions to long-term memory: TypeScript strict mode is enabled; API response fields use snake_case; all new components must include unit tests.
The tool stores the project rules in long-term memory for future coding reference.
Search memory for past decisions about the authentication approach, summarize why we chose JWT over sessions, and list related constraints.
Returns relevant memories and organizes them into a clear decision summary with constraints.
Organize and save recent project todos, known issues, and owners mentioned in Claude Code, ChatGPT, and Cursor, grouped by module.
Creates structured memory entries so AI assistants across platforms share consistent context.
Give AI assistants persistent memory, semantic search, and layered context management.
Provide persistent memory and hybrid search for AI coding assistants.
Give AI coding tools persistent memory across sessions, devices, and workflows.
Persist Claude Code conversations and retrieve relevant context across sessions.
Share, search, and reuse local memory across multiple AI coding agents.
Provide shared memory for Claude across apps with sessions, handoffs, and artifacts.