by NeoLi00 · Claude Skill · ★ 131
English · 中文 · Architecture memX turns completed work into structured, searchable, self-maintained memory, then injects only the evidence an agent needs for the current query. It connects natively to Codex, Claude Code, and OpenClaw, and reaches any MCP-compatible client through the same local memory layer. Benchmarks Suite Scope R@3 success rate LongMemEval-S Long-context memory retrieval 94.2% Real engineering cases 30 cases, each with 20+ turns 100% Architecture Agent support Codex native hooks, MCP hidden by default <img src=
| Stars | 131 |
| Forks | 3 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65.1396296722317/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-26 |
| Created | 2026-05-08 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~228k |
These tools work well together with memX for enhanced workflows:
Explore other popular claude skill tools:
memX is memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw. It is categorized as a Claude Skill with 131 GitHub stars.
memX is primarily written in TypeScript. It covers topics such as agent, agent-memory, claude-code.
You can find installation instructions and usage details in the memX GitHub repository at github.com/NeoLi00/memX. The project has 131 stars and 3 forks, indicating an active community.
memX is released under the MIT license, making it free to use and modify according to the license terms.