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Build and query persistent knowledge graphs so coding agents remember across sessions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MegaMemory" yet — see the docs or source repo.
Organize the repository's core modules, dependencies, tech stack choices, and key design decisions into a knowledge graph, then save it as an updatable project memory.
A persistent project knowledge graph capturing architecture, module relationships, and design decisions for future sessions.
Query why this project chose PostgreSQL instead of MongoDB, and summarize the related performance, transaction consistency, and operational considerations.
Returns historical records tied to the decision, a concise rationale, and the surrounding context.
Load the previously saved project memory, tell me where the last refactor stopped, what remains unfinished, and suggest the next steps.
Generates a continuation summary from saved memory, including progress, open tasks, and recommended actions.
Build a project knowledge graph for code search, traversal, and Q&A.
Automatically stores technical knowledge and retrieves relevant context across future AI sessions.
Give AI agents persistent knowledge-graph memory and cross-session retrieval.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Give AI coding tools persistent memory across sessions, devices, and workflows.
Provides persistent graph memory for LLMs with auto-linking and layered recall.