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Local code graph and solution memory for coding agents via CLI and MCP.
codeagent-memory 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 76/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 codeagent-memory 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
docker run -i --rm ghcr.io/hanochzhu/codeagent-memory:0.1.5运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-20T10:28:53.86938Z",
"publishedAt": "2026-10-20T10:28:53.86938Z",
"statusChangedAt": "2026-10-20T10:28:53.86938Z"
}
},
"server": {
"name": "io.github.HanochZhu/codeagent-memory",
"title": "codeagent-memory",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.1.5",
"packages": [
{
"transport": {
"type": "stdio"
},
"identifier": "ghcr.io/hanochzhu/codeagent-memory:0.1.5",
"runtimeHint": "docker",
"registryType": "oci",
"runtimeArguments": [
{
"type": "positional",
"value": "run"
},
{
"type": "positional",
"value": "-i"
},
{
"type": "positional",
"value": "--rm"
},
{
"type": "positional",
"value": "-v"
},
{
"type": "positional",
"value": "{workspace}:/work",
"valueHint": "workspace_mount",
"variables": {
"workspace": {
"format": "filepath",
"isRequired": true,
"description": "Absolute path of the project directory to index.",
"placeholder": "/path/to/project"
}
}
},
{
"type": "positional",
"value": "-w"
},
{
"type": "positional",
"value": "/work"
}
]
}
],
"repository": {
"id": "1368492125",
"url": "https://github.com/HanochZhu/codeagent_memory",
"source": "github"
},
"websiteUrl": "https://github.com/HanochZhu/codeagent_memory",
"description": "Local code graph and solution memory for coding agents via CLI and MCP."
}
}