by EngramMemory · MCP Server · ★ 32
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.
| Stars | 32 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 69.9808901016849/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-01 |
| Created | 2026-03-28 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~61k |
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engram-memory is The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.. It is categorized as a MCP Server with 32 GitHub stars.
engram-memory is primarily written in Python. It covers topics such as ai, ai-memory, ai-tools.
You can find installation instructions and usage details in the engram-memory GitHub repository at github.com/EngramMemory/engram-memory. The project has 32 stars and 4 forks, indicating an active community.