OMEM

Memory for AI agents that tracks beliefs over time and surfaces contradictions

What does this entry provide?

OMEM is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 70/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding OMEM to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 70/100
Install method: pypi
Repo: troybrandonc-bit/Omem
Repo updated: Sep 1, 2026

Install command

uvx omem-infrastructure==0.3.15

Install method: pypi

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Sep 1, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_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"
  }
}

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