brain-mcp and memora
Memora appears to be a server-side implementation of the Memory, Cognition, and Perception (MCP) system, providing semantic storage and knowledge graphs, while brain-mcp offers client-side tooling and utilities to interact with and leverage such a persistent memory system for AI agents.
About brain-mcp
mordechaipotash/brain-mcp
Your AI has amnesia. Persistent memory and cognitive context for AI. 25 MCP tools. 12ms recall.
Implements a progressive capability model—basic keyword search on raw conversations, semantic search with embeddings, and full domain reconstruction with AI-generated summaries—enabling AI assistants to surface cognitive patterns, unfinished threads, and evolved thinking across fragmented conversation histories from multiple tools (Claude, ChatGPT, Cursor). Operates as an MCP server exposing 25 specialized tools including semantic and keyword search, "prosthetic" functions like `tunnel_state` and `context_recovery` for domain re-entry, and analytics for identifying dormant contexts and thinking trajectories without requiring manual tagging.
About memora
agentic-box/memora
Give your AI agents persistent memory — MCP server for semantic storage, knowledge graphs, and cross-session context
Implements a Model Context Protocol (MCP) server with pluggable embedding backends (OpenAI, sentence-transformers, TF-IDF) and multi-tiered storage—local SQLite, Cloudflare D1, or S3/R2 with optional encryption and compression. Features include interactive knowledge graph visualization, RAG-powered chat with streaming LLM tool calling, event notifications for inter-agent communication, and automated memory deduplication via LLM comparison. Integrates with Claude Code and Codex CLI through stdio or HTTP transports.
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