Agent 与会话技能
EverOS
EverMind-AI
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
待结构检查
agent-memoryagentic-aiaichats
返回插件市场
Agent 与会话技能
challenge-project-methodology
hlxstc-create/challenge-project-methodology
challenge-project-methodology is a tool for DeepSeek Harness. A battle-tested methodology for high-difficulty AI-agent projects: grading gates, evidence-driven verification & self-evolution. OpenClaw & DSH versions.
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- 32 days
REVIEW SCORECARD
评测成绩单
7.5/10Average
detail.dimSecurity9.0
detail.dimQuality5.4
detail.dimContent7.0
detail.dimDeps7.0
detail.dimMaintenance8.0
✓ 无Risky检出 · 自动化扫描结果仅供参考，非官方背书
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前往仓库PROJECT TOPICS
项目标签
VALIDATION LADDER
验证进度
01市场发现Passed
02归类识别Passed
03结构检查Pending
04实机验证Pending
FAQ
Frequently Asked Questions
What is challenge-project-methodology used for?
A battle-tested methodology for high-difficulty AI-agent projects: grading gates, evidence-driven verification & self-evolution. OpenClaw & DSH versions.
What license does challenge-project-methodology use?
challenge-project-methodology is distributed under the MIT license.
Is challenge-project-methodology compatible with DeepSeek Harness?
challenge-project-methodology is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
/10类依据
项目类型技能
功能/10类Agent 与会话
规则置信度High
System reads GitHub Topics first, then compares against the in-site category dictionary and word-root rules. Current match:skill、methodology、prompt-engineering。
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MemOS
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Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
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待结构检查
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待结构检查
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adoresever
Deepseek Harness, Openclaw knowledge graph memory plugin. Invited to present at Tsinghua University seminar in April 2026. Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
待结构检查
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