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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.
Give AI agents persistent memory and semantic retrieval across conversations.
Externalize workflow state for distributed agents to improve coordination and resilience.
Track project state, shot progress, and continuity for AI video production.
Manage persistent agent memories across global or repository-specific scopes.
Give AI assistants persistent memory, semantic search, and layered context management.
Give AI assistants persistent memory, entity storage, and semantic search across sessions.