Show HN: Memora – MCP persistent memory server knowledge graph vis https://ift.tt/HR3om0c

Show HN: Memora – MCP persistent memory server knowledge graph vis I built Memora, an MCP server that gives Claude persistent memory across sessions. The main problem it solves: AI agents lose context between sessions. Memora acts as a context manager that persists knowledge across multiple agent sessions, so your AI assistant remembers past work, decisions, and learned patterns. Key features: - Persistent context across agent sessions (single or multi-agent workflows) - SQLite-backed with optional S3/R2 cloud sync - Semantic search using embeddings (TF-IDF, sentence-transformers, or OpenAI) - Interactive knowledge graph visualization (vis.js) - Structured memory types: TODOs, Issues, Knowledge entries - Cross-reference links between related memories - Image storage support with R2 The graph visualization lets you explore connections between memories, filter by tags/status, and see how your knowledge base grows over time. Built for Claude Code but works with any MCP-compatible client. GitHub: https://ift.tt/NahT6xB Would love feedback on the architecture and feature ideas! https://ift.tt/NahT6xB December 20, 2025 at 11:25PM

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