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Give coding agents persistent cross-session memory for project context and decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "memora-mcp" yet — see the docs or source repo.
Please save the key project context to Memora: we use Next.js, PostgreSQL, and Prisma; authentication uses JWT; the short-term goal is to finish the user profile page refactor. Then give me a summary of what was saved.
The tool stores the stack, auth approach, and current goal in long-term memory, then returns a concise summary.
Retrieve previous discussions and conclusions from Memora about the project's caching strategy, especially why Redis was chosen and what unresolved risks remain.
The tool returns relevant history, the rationale for choosing Redis, and any outstanding risks.
Using the last development record stored in Memora, tell me where work currently stands, what tasks remain, and create a short plan for the next implementation step.
The tool summarizes current progress, remaining tasks, and an actionable next-step plan from stored memory.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give AI agents persistent semantic memory with search, decay, and deduplication.
Give AI coding agents persistent local shared memory across agents.
Gives AI coding agents persistent local memory across sessions for decisions and rules.
Give AI coding agents searchable local project memory with safe structured updates.
Build and query persistent knowledge graphs so coding agents remember across sessions.