{"repo":"EngramMemory/engram-memory","free":true,"listed":false,"github":"https://github.com/EngramMemory/engram-memory","clone":"git clone https://github.com/EngramMemory/engram-memory.git","description":"The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.","language":"Python","stars":35,"topics":["ai","ai-tools","embedded-systems","embedding","embedding-vectors","mcp","mcp-client","mcp-server","memory","qdrant-vector-database"],"license":null,"category":"mcp-servers","readme_excerpt":"Three-Tiered Brain for AI agents. Self-hosted. Zero API costs. Docs · Quickstart · Dashboard · Cloud SDKs --- Engram gives your AI agent persistent memory across sessions. Store, search, recall, and forget memories using semantic embeddings — all running on your own hardware. No API keys, no cloud dependencies, no data leaving your machine. One container bundles Qdrant , FastEmbed , and the MCP server . One command to install. Works with Claude Code, Cursor, Windsurf, VS Code, OpenClaw, or anything else that speaks MCP. --- The Problem Every AI agent on the market forgets everything when the session ends. You spend 30 minutes explaining your codebase, your preferences, your architectural decisions. You close the tab. Tomorrow you start over. The current solutions are all bad in different ways. OpenAI's memory is a black box you don't control. Mem0 and Zep charge $19–$249/month for managed cloud memory — your data goes through their servers. Local alternatives (LangChain memory, SQLite stores) don't scale past a few thousand memories and treat every memory equally regardless of how often you access it. Engram exists because there should be a third option: a serious memory system that runs on your own hardware, costs nothing, and gets faster the more you use it. --- How It Works The Three-Tiered Brain Most memory systems do one thing: vector search across everything. That's slow at scale and wasteful for queries you've made before. Engram has three tiers, and a query flows thro","default_branch":null,"files":null,"tree":[],"storefront":"/r/EngramMemory","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/EngramMemory/engram-memory/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."}