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Give AI agents persistent memory, context retrieval, and memory compilation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Statewave" yet — see the docs or source repo.
Using the Statewave MCP, design a long-term memory setup for my AI support agent, including user preference storage, past conversation retrieval, memory update rules, and a simplified call flow example.
A long-term memory integration plan explaining what to store, when to retrieve, how to update, and how the agent should call it.
Use the Statewave MCP to retrieve this user's relevant past memories, summarize their goals, preferences, and unresolved issues, then generate a more personalized response based on that context.
A summary of relevant past memories plus a personalized response suggestion grounded in that context.
Through the Statewave MCP, compile the last 30 interactions into a structured memory summary, extracting stable preferences, important facts, action items, and risk notes for future agent sessions.
A structured memory summary that future sessions can quickly load and reuse as key context.
Track file changes for AI agents with checkpoints, rollback, and memory.
Persist and restore durable state for multi-agent AI workflows.
Give AI agents persistent, verifiable memory with blockchain-backed integrity proofs.
Give AI agents persistent memory and semantic retrieval across conversations.
Give AI coding agents persistent semantic memory with embedding-based retrieval.
Use a shared validated database of structured records across AI chats.