repoGitLabTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
io-devel/rag-mcp-go
A Go-based Open Source Universal Memory server that exposes a Model Context Protocol (MCP) interface for LLM clients. It provides semantic document search (for user documents), agent memory management, and a knowledge graph - backed by PgVector or ChromaDB - enabling AI agents to store, retrieve, and interconnect knowledge across sessions.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 63%MCP Server Architecture Patterns for LLM-Integrated Applications →
- PossiblePossibly related (embedding) · 54%AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents →
- PossiblePossibly related (embedding) · 53%AI agents need context everywhere they run, even where the cloud can't follow →
- PossiblePossibly related (embedding) · 50%Google Cloud's Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite - MarkTechPost →
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Related across the graph
paperMCP Server Architecture Patterns for LLM-Integrated ApplicationsnewsAI agents need context everywhere they run, even where the cloud can't followpaperAgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM AgentsnewsGoogle Cloud's Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite - MarkTechPost