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Enable AI agents to read, write, and evolve memory across apps.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "adaptive-agent-mcp" yet — see the docs or source repo.
Use adaptive-agent-mcp to build long-term memory for my AI assistant: store my preferred writing style, common project names, and work logs from the last 7 days, then prioritize them in future conversations.
Returns the stored memory structure, retrievable preference and log summaries, and how to use them later.
Use adaptive-agent-mcp to organize information from my docs, task manager, and chat history, extract people, projects, deadlines, and dependencies, and build a continuously updated knowledge graph.
Outputs a cross-app entity relationship graph, key node summaries, and a plan for ongoing automatic updates.
Analyze my past feedback and edits with adaptive-agent-mcp, learn my preferences for response length, tone, format, and prioritization, and automatically apply them to new tasks.
Provides a preference profile, the learned rules, and a sample new response generated using them.
Give AI agents persistent memory and a knowledge graph across sessions.
Intelligent RAG tool that chooses between private knowledge and web search.
Build a self-evolving memory graph for coding agents with semantic search.
Share and manage one user-owned memory across AI clients via MCP.
Give AI agents persistent memory with semantic search and automatic memory management.
Run AI agents through OpenAI-compatible APIs with memory and multi-step workflows.