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Give AI agents long-term memory with forgetting-curve decay for better recall.
The available material is minimal, but this MCP tool is an open-source GitHub project, requires no credentials, and declares no remote endpoints, with no clear high-risk red flags evident. Caution is still warranted because it is flagged as capable of code execution, and a memory-oriented tool commonly implies local data read/write behavior.
The material explicitly states that no keys or environment variables are required. No API tokens, account credentials, or other sensitive authentication data are requested, so credential exposure and misuse risk appears low.
The material declares no remote endpoints and does not describe any need to connect to external services or upload user data. Based on the available information, no clear outbound data path is evident, though the missing README means implementation details should still be verified in source.
The objective checks flag this tool as capable of executing code, indicating it may start local processes or run code on the host. This is a standard sensitive capability for MCP tools; the current material does not show abnormal privilege escalation beyond the declared function, so caution is appropriate rather than a high-risk rating.
As a memory-oriented tool, its functionality commonly implies reading and writing local persistent data to store and retrieve memory. The material does not specify exact file paths, databases, or resource scope, but such local data access is reasonably expected; limiting its working directory and accessible scope is recommended.
Positive factors include an open-source GitHub repository and about 240 stars, which provide some community visibility and lower risk. However, the license is unspecified, maintenance status is unknown, and the README is absent, leaving limited audit context and requiring further supply-chain verification.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "YourMemory" yet — see the docs or source repo.
Save the following into YourMemory for a support agent: user Li Lei prefers concise replies, mainly uses iOS, recently reported delayed login verification codes, and adjust memory strength over time with a forgetting curve.
A stored memory summary confirming these preferences can be prioritized in future sessions.
Store this project context in YourMemory: backend uses FastAPI, frontend uses Next.js, authentication uses JWT, and we are currently fixing order API timeout issues. Use this long-term memory in future answers.
Confirmation that memory was stored, with future answers automatically using the tech stack and current task state.
Save the following research information to YourMemory: the topic is LLM memory mechanisms, comparison targets include Mem0 and LoCoMo, and the focus is long-term recall, forgetting strategies, and experiment reproducibility. Prioritize this memory in later retrieval and summaries.
A structured memory summary for later retrieval, comparison, and progress summaries by the research agent.
Give AI agents offline adaptive memory that retains what matters most.
Provide persistent memory for AI agents across sessions and tasks.
Gives AI assistants human-like memory decay and reinforcement for better long-term interactions.
Give AI agents persistent semantic memory with search, decay, and deduplication.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give coding agents persistent cross-session memory for project context and decisions.