Give AI agents persistent memory and semantic recall across platforms and workflows.
This MCP tool comes from an official registry, is open source, and has recent maintenance, giving it relatively good supply-chain auditability. The main concerns are the required API key, local process execution, and its persistent long-term memory function that may handle and store user data; overall it is a caution-level tool with no clear red flags warranting a high-risk rating.
It requires MNEMOVERSE_API_KEY, which is a sensitive credential. The materials do not describe token scope, storage, or least-privilege controls, so normal misuse risk exists if leaked, but requiring a key alone does not justify a high-risk rating.
The objective metadata lists remote endpoint host as 'none', but the tool requires an API key; combined with its 'long-term memory/semantic recall' description, it is reasonable to infer some communication with a backing service may occur. The materials do not disclose actual domains, payloads, or whether user memory data is sent out, so network egress transparency is limited and merits caution.
System checks indicate this MCP tool executes code or runs a local process, which is a normal MCP server capability. The provided materials show no request for elevated system privileges, shell injection patterns, or execution scope clearly disproportionate to its stated function, so this is caution rather than risk.
Its stated purpose—'Persistent long-term memory for AI agents'—implies storing and retrieving memory data over time, potentially including user-provided content. However, the materials do not specify storage location, retention policy, encryption, or access boundaries, so the data-handling scope is not sufficiently transparent.
The source is an official registry entry and an open-source repository is provided, with updates within the last year. These are positive signals that improve auditability. Although the license is not stated and community stars are low, those factors alone are not high-risk red flags, so overall supply-chain risk is relatively low.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Mnemoverse Memory" MCP server from askskill: Run: claude mcp add 'io-github-mnemoverse-mcp-memory-server' -- npx -y @mnemoverse/mcp-memory-server
Manage persistent AI memories with tagging, search, retrieval, and trigger-based recall.
Share persistent memory across AI sessions to improve continuity and collaboration.
Gives AI assistants human-like memory decay and reinforcement for better long-term interactions.
Give AI agents persistent memory across sessions with automatic context retrieval.
Give AI agents persistent semantic memory with search, decay, and deduplication.
Gives AI coding agents persistent local memory across sessions for decisions and rules.