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Memory for AI agents that tracks beliefs over time and surfaces contradictions
OMEM 是 ChatHome Skills 收录的 MCP 条目,来源为 Official MCP Registry,质量分 70/100。 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 OMEM 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。
uvx omem-infrastructure==0.3.15运行此命令前,请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-01T21:38:35.035464Z",
"publishedAt": "2026-09-01T21:38:35.035464Z",
"statusChangedAt": "2026-09-01T21:38:35.035464Z"
}
},
"server": {
"name": "io.github.troybrandonc-bit/omem",
"title": "OMEM",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.3.15",
"packages": [
{
"version": "0.3.15",
"transport": {
"type": "stdio"
},
"identifier": "omem-infrastructure",
"registryType": "pypi",
"environmentVariables": [
{
"name": "OMEM_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "API key from the OMEM server. It is printed on first run of `omem-server`."
},
{
"name": "OMEM_PROJECT",
"format": "string",
"isRequired": true,
"description": "Project id to read and write memory in, also printed on first run."
},
{
"name": "OMEM_BASE_URL",
"format": "string",
"default": "http://127.0.0.1:8787",
"description": "URL of the OMEM server."
},
{
"name": "OMEM_AGENT",
"format": "string",
"default": "mcp-agent",
"description": "The agent whose memory this process reads and writes. Fixed here rather than passed as a tool argument, so the model cannot act as a different agent."
},
{
"name": "OMEM_USER",
"format": "string",
"description": "The end user this process is acting for. Also fixed here, not a tool argument. Leave unset and no user-scoped memory is visible."
}
]
}
],
"repository": {
"url": "https://github.com/troybrandonc-bit/Omem",
"source": "github"
},
"websiteUrl": "https://infrastructure.omem-cloud.com",
"description": "Memory for AI agents that tracks beliefs over time and surfaces contradictions"
}
}