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Give MCP-compatible agents persistent memory, fact storage, and relationship graphs.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Pseudolife Memory" MCP server from askskill: Run: claude mcp add 'io-github-pseudogiant-xr-pseudolife-mcp' -- npx -y pseudolife-mcp
When building an MCP-compatible agent, developers can use it to persist user preferences, project context, and important facts so the same context does not need to be repeated every session.
Researchers or product managers can write scattered information into a memory bank and revisit key relationships through facts and graph structures for more efficient ongoing analysis.
In automation workflows that require long-running task tracking, it can serve as a persistent memory layer for an agent, preserving interim conclusions and contextual cues.
It is a persistent memory tool for MCP-compatible agents, offering memory bank, fact cortex, dreams, and graph-style memory capabilities.
It is suitable for developers and related teams who need agents to retain facts, preferences, and relationship context across sessions.
The provided information only says it is for MCP-compatible agents and does not include installation steps or dependency requirements; see the source repository for details.
Give AI agents persistent memory to log and recall conversation context via MCP.
Persist long-term AI memory with semantic retrieval and knowledge graph context.
Add persistent local semantic long-term memory to AI agents.
Give AI assistants persistent memory, adaptive recall, and graph-based knowledge retrieval.
Provide local-first semantic memory and context recall for MCP agents.
Store and retrieve agent lessons to improve tasks and avoid repeated mistakes.