by win4r · Codex Skill · ★ 1.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
| Stars | 1,812 |
| Forks | 341 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 45.25/100 |
| Open Issues | 38 |
| Last Updated | 2026-03-09 |
| Created | 2026-02-24 |
| Platforms | cli, node |
| Est. Tokens | ~101k |
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memory-lancedb-pro is Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI. It is categorized as a Codex Skill with 1.8k GitHub stars.
memory-lancedb-pro is primarily written in TypeScript. It covers topics such as lancedb, memory, openclaw.
You can find installation instructions and usage details in the memory-lancedb-pro GitHub repository at github.com/win4r/memory-lancedb-pro. The project has 1.8k stars and 341 forks, indicating an active community.
memory-lancedb-pro is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to memory-lancedb-pro on Agent Skills Hub include memory-lancedb-pro, MemOS, memsearch. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.