memora and ogham-mcp
About memora
agentic-box/memora
Give your AI agents persistent memory — MCP server for semantic storage, knowledge graphs, and cross-session context
This project helps AI agents remember information across different tasks and conversations, acting like a persistent brain. It takes in structured notes, conversations, and observations, then organizes them into a searchable memory and a visual knowledge graph. AI developers or researchers building sophisticated agents that need long-term context and recall would use this.
About ogham-mcp
ogham-mcp/ogham-mcp
Shared memory MCP server — persistent, searchable, cross-client
This project provides a persistent, searchable memory for your AI coding agents. It helps developers avoid repeating themselves by allowing agents to share context, past decisions, and architectural patterns across different tools like Claude Code, Cursor, or OpenCode. You feed it your code, debugging issues, and project details, and your agents can recall them later, no matter which client they are using.
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