MARM-Systems and memora
About MARM-Systems
Lyellr88/MARM-Systems
Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Built with MARM protocol for structured reasoning that evolves with your work.
# Technical Summary Implements semantic vector-based memory indexing with auto-classification of conversation content (code, decisions, configs) and enables cross-session recall via FastAPI-backed HTTP/STDIO transports that integrate natively with Claude, Gemini, and other MCP-compatible agents. The architecture uses SQLite with WAL mode for persistent storage and connection pooling, exposing 18 MCP tools for granular memory control—including structured session logs, reusable notebooks, and smart context fallbacks when vector similarity alone is insufficient. Designed for production workflows requiring reliable long-term context across multiple AI agents and deployment cycles, with Docker containerization and rate-limiting built-in.
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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