Membase Plugin for OpenClaw Persistent long-term memory for OpenClaw using hybrid vector search and a knowledge graph. Website · Docs · Dashboard · Issues Give your OpenClaw agent persistent memory that survives across sessions. Membase uses hybrid vector search + knowledge graph to remember not just text, but entities, relationships, and facts. Free to start — Sign up at [ap
| Stars | 31 |
| Forks | 2 |
| Language | TypeScript |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 43.25/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-24 |
| Created | 2026-03-11 |
| Platforms | mcp, node |
| Est. Tokens | ~13k |
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openclaw-membase is OpenClaw plugin for persistent AI memory. It is categorized as a MCP 服务器 with 31 GitHub stars.
openclaw-membase is primarily written in TypeScript. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the openclaw-membase GitHub repository at github.com/aristoapp/openclaw-membase. The project has 31 stars and 2 forks, indicating an active community.
openclaw-membase is released under the MIT license, making it free to use and modify according to the license terms.