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MemoriLabs
GitHub 创作者资料

MemoriLabs

按仓库查看 1 个 GitHub 仓库中的 3 个已收集 skills,并展示近似职业覆盖。

已收集 skills
3
仓库
1
职业领域
1
更新
2026-05-22
职业覆盖
该创作者主要覆盖的职业大类。
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Skills 分布在哪些仓库

按已收集 skill 数展示主要仓库,并显示它们在该创作者目录中的占比和职业覆盖。

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仓库与代表性 skills

#001
Memori
3 个 skills15.1k2.5k更新于 2026-05-22
占该创作者 100%
memori
软件开发工程师

Agent-native memory for OpenClaw that structures memory from agent trace, execution history, decisions, tool calls, and conversations into durable long-term memory primitives.

2026-05-22
memori
软件开发工程师

Ambient Memori long-term memory for Claude Code via local Bash. MUST TRIGGER on essentially every non-trivial user turn: run recall before drafting any substantive response, whether or not the user mentioned memory, a prior session, or past work. The default is to check memory first; do not wait to be asked. Always fire before external lookups (WebSearch/WebFetch) and before answering any question about preferences, prior decisions, constraints, project history, status, past work, or any non-trivial coding/research task. Skip only for trivial acknowledgements/closings, purely self-contained turns where prior context cannot possibly help, or when the user explicitly opts out. Use Advanced Augmentation after drafting the final response for every non-trivial turn, as the last memory step. Use recall.summary only for broad session summaries/orientation, compaction after context loss, feedback for memory quality, quota for limits, and signup only when explicitly requested.

2026-05-22
memori-mcp-usage
软件开发工程师

Use when an MCP-connected agent should use Memori tools for targeted recall, summaries, post-compaction briefs, durable memory augmentation, quota checks, signup, feedback, preferences, prior context, or cross-session continuity.

2026-05-20
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