{"repo":"ZenSystemAI/Zengram","free":true,"listed":false,"github":"https://github.com/ZenSystemAI/Zengram","clone":"git clone https://github.com/ZenSystemAI/Zengram.git","description":"A Multi Agent Memory MCP That Connect Agents Across Systems and Machines","language":"JavaScript","stars":56,"topics":["claude","cursor","deduplication","embedded","mcp","mcp-server","memory","multi-agent-system","multi-agent-systems","openclaw"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Zengram Shared memory for multi-agent AI systems. Quick Start • How It Works • Benchmarks • Adapters • API Docs • Config Store a fact from Claude Code on your laptop, recall it from an autonomous agent on your server, get a briefing from another session — all through the same memory system. Born from a production setup where nothing existed that let multiple AI agents share memory across separate machines. --- The Problem You run multiple AI agents — Claude Code for development, autonomous agents for tasks. They each maintain their own context and forget everything between sessions. When one agent discovers something important, the others never learn about it. How It Works Typed Memory Events are immutable history. Facts upsert by key — new facts supersede old ones. Statuses track current state. Decisions record choices and reasoning. Each type has its own lifecycle, decay rules, and mutation semantics. Unified Storage Every memory lives in a single Postgres database: pgvector (HNSW) for semantic vector search and structured tables for queries, entities, and full-text search. Get both \"find memories similar to X\" and \"give me all facts with key Y\" from the same system — one container, no separate vector service. Multi-Path Search Search runs up to three retrieval paths in parallel, fused with weighted Reciprocal Rank Fusion: 1. Vector search — Cosine similarity via pgvector (HNSW, with iterative index scans on pgvector 0.8+ so tenant-scoped queries do","default_branch":null,"files":null,"tree":[],"storefront":"/r/ZenSystemAI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ZenSystemAI/Zengram/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}