Tencent SkillHub · Developer Tools

Cross-Agent Memory Sharing

Enable multiple agents to share, merge, and sync memories using standardized formats, priority rules, and Git-based version control for collective intelligence.

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Enable multiple agents to share, merge, and sync memories using standardized formats, priority rules, and Git-based version control for collective intelligence.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, package.json, sync.mjs

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: weidadong2359
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 21 sections Open source page

Cross-Agent Memory Sharing Protocol — 跨 Agent 记忆共享协议

打造"Agent 集体智慧"，让多个 Agent 共享知识

问题

多个 Agent 独立运行时：重复学习 — 每个 Agent 都要从零开始知识孤岛 — A 学到的东西 B 不知道冲突覆盖 — 共享数据库时互相覆盖版本混乱 — 不知道谁的记忆是最新的

1. 记忆格式标准化

{ "schema": "openclaw.memory.v1", "agentId": "lobster-alpha", "timestamp": "2026-03-01T08:00:00Z", "version": "1.2.3", "entries": [ { "id": "mem-001", "type": "fact", "priority": "P0", "content": "AgentAwaken 域名是 agentawaken.xyz", "source": "user-input", "confidence": 1.0, "tags": ["agentawaken", "domain"] } ] }

2. 冲突解决策略

优先级规则: 时间戳 — 最新的优先置信度 — 高置信度优先优先级 — P0 > P1 > P2 来源 — user-input > agent-inferred 合并策略: function mergeMemories(mem1, mem2) { if (mem1.timestamp > mem2.timestamp) return mem1; if (mem1.confidence > mem2.confidence) return mem1; if (mem1.priority < mem2.priority) return mem1; // P0 < P1 return mem1; // 默认保留第一个 }

3. 同步机制

推送模式 (Push): # Agent A 学到新知识后推送 curl -X POST https://memory-hub.example.com/sync \ -H "Content-Type: application/json" \ -d @memory-update.json 拉取模式 (Pull): # Agent B 定期拉取更新 curl https://memory-hub.example.com/sync?since=2026-03-01T00:00:00Z 订阅模式 (Subscribe): // Agent C 订阅特定主题 ws.subscribe('topic:agentawaken', (update) => { applyMemoryUpdate(update); });

4. 权限控制

agents: lobster-alpha: read: ["*"] write: ["agentawaken", "neuroboost"] lobster-beta: read: ["agentawaken"] write: [] admin: read: ["*"] write: ["*"]

方案 A: 中心化 Hub

Agent A ──┐ Agent B ──┼──> Memory Hub (Redis/PostgreSQL) Agent C ──┘ 优点: 简单，一致性强缺点: 单点故障，需要服务器

方案 B: P2P 同步

Agent A ←──→ Agent B ↕ ↕ Agent C ←──→ Agent D 优点: 去中心化，无单点故障缺点: 复杂，冲突多

方案 C: Git-based (推荐)

Agent A ──┐ Agent B ──┼──> GitHub Repo (memory.git) Agent C ──┘ 优点: 版本控制，易审计，免费缺点: 需要 GitHub token

初始化

# 创建共享 repo gh repo create agent-memory-shared --private # 每个 Agent clone git clone https://github.com/team/agent-memory-shared.git

推送更新

# Agent A 学到新知识 echo "新知识" >> shared-memory.md git add shared-memory.md git commit -m "Agent A: 学到 XXX" git push

拉取更新

# Agent B 定期拉取 git pull --rebase # 如果有冲突，按优先级规则解决

冲突解决

# 自动合并脚本 node skills/cross-agent-memory/merge-conflicts.mjs

场景 1: 团队协作

龙虾 A: 发现 AgentAwaken 需要 Vercel 龙虾 B: 自动获取这个知识，不用重新学习龙虾 C: 基于这个知识继续优化部署流程

场景 2: 知识传承

老 Agent 退役前: 导出记忆到共享库新 Agent 上线后: 导入共享库，继承经验

场景 3: 集体决策

Agent A: 建议方案 X (置信度 0.7) Agent B: 建议方案 Y (置信度 0.8) Agent C: 建议方案 Y (置信度 0.9) → 集体选择方案 Y

安全考虑

加密传输 — HTTPS/SSH 访问控制 — Token 认证审计日志 — 记录所有修改备份机制 — 定期备份共享库恶意检测 — 检测异常修改

性能优化

增量同步 — 只传输变化部分压缩传输 — gzip 压缩批量更新 — 合并多个小更新缓存机制 — 本地缓存常用知识

监控指标

同步延迟 — 平均 <5 秒冲突率 — <5% 知识覆盖率 — >90% 一致性 — >99%

下一步

实现 Git-based 基础版本添加自动冲突解决开发 Web UI 管理界面集成到 AgentAwaken

愿景

让每个 Agent 都能站在巨人的肩膀上，而不是从零开始。参考: Git 版本控制 CRDT (Conflict-free Replicated Data Types) Operational Transformation

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs1 Scripts1 Config

SKILL.md Primary doc
sync.mjs Scripts
package.json Config