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Give AI agents local, persistent, searchable memory backed by SQLite.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "tartarus-mcp" yet — see the docs or source repo.
Use tartarus-mcp to create long-term memory for my AI assistant and save these user preferences: concise answers, Chinese by default, interested in Python automation and local tools.
The tool stores the user preferences in local persistent memory for future conversations.
Use tartarus-mcp to search past memories related to the 'Project Apollo data pipeline' and summarize key decisions, action items, and owners.
It returns relevant past memories and a readable summary so the agent can continue prior work.
Use tartarus-mcp to record this task's goal, execution steps, issues encountered, and final result, then create a searchable memory entry at the end.
It creates a structured task memory for later retrieval, auditing, and reuse in automated workflows.
Give LLMs persistent memory to store and retrieve information through MCP.
Give AI agents persistent memory and semantic retrieval across conversations.
Provide secure, fault-tolerant, searchable long-term memory for AI applications.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Provide persistent local memory and semantic search for MCP AI clients.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.