by yizhiyanhua-ai · Claude Skill · ★ 92
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fireworks-skill-memory Persistent experience memory for Claude Code skills. Claude remembers what it learned — session after session, skill by skill. 中文文档 · Report Bug · Request Feature The Problem Every Claude Code session starts from zero. The same mistakes repeat — wrong API parameters, broken sequences, proxy pitfalls — because Claude has no memory between sessions. Session 1: "Don't forget — use index=0 for Feishu blocks" ✓ works Session 2: same mistake again ✗ forgot Session 3: same mistake again ✗ for
| Stars | 92 |
| Forks | 7 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 72.3711015247745/100 |
| Last Updated | 2026-07-05 |
| Created | 2026-03-27 |
| Platforms | claude-code, python |
| Est. Tokens | ~12k |
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fireworks-skill-memory is Persistent, per-skill experience memory for Claude Code. It is categorized as a Claude Skill with 92 GitHub stars.
fireworks-skill-memory is primarily written in Python.
You can find installation instructions and usage details in the fireworks-skill-memory GitHub repository at github.com/yizhiyanhua-ai/fireworks-skill-memory. The project has 92 stars and 7 forks, indicating an active community.
fireworks-skill-memory is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to fireworks-skill-memory on Agent Skills Hub include claude-ai-mcp, skyll. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.