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  3. Ellmos Homebase
Ellmos Homebase logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:49:32 PM

Ellmos Homebase

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Local-first LLM orchestration: memory, knowledge, state, routing, swarm, API discovery, plugins.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ellmos-homebase": {
      "command": "npx",
      "args": [
        "-y",
        "ellmos-homebase"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

ellmos-homebase-mcp

ellmos Homebase MCP logo

Alpha MCP server for local-first LLM orchestration: memory, knowledge, routing, swarm patterns, API probing, persistent state, tests, automation planning, and plugin discovery in one stdio server.

Homebase is designed primarily for local LLMs (Ollama, Qwen, Llama, or any locally-hosted model via a MCP-capable harness). All persistent storage uses SQLite with no cloud dependency. External LLM providers (Claude, Codex, Gemini, OpenAI) can also connect as MCP clients, but local, offline-capable setups are the primary target.

German README: README_de.md

Part of the ellmos-ai family.

Ecosystem: open-bricks Organization: ellmos-ai License: MIT npm version Python Matrix Node.js Platforms Privacy Storage MCP Status: alpha Tests LLMs-Ready Homebase tests

Discoverability: Published on npm as ellmos-homebase-mcp and maintained in the ellmos-ai organization.

[!NOTE] For AI Assistants & LLM Agents: Machine-readable architecture summary, index, and tool capabilities are published in llms.txt. MCP registry metadata is available in server.json.

Quick Navigation / Schnellnavigation

  • System Architecture
  • Sequence Flow & Lifecycle
  • Core Capabilities & Security Invariants
  • Start Here
  • Status
  • Install
  • MCP Client Configuration
  • Server Configuration
  • Tools
  • Discovery Context
  • ellmos-ai Ecosystem
  • Security & Vulnerability Reporting
  • Development
  • Deutsche Version (README_de.md)

System Architecture

mermaid
flowchart TD
    subgraph Clients ["MCP Clients (Local / Remote)"]
        Ollama["Local LLMs (Ollama, Qwen, Llama)"]
        Claude["Claude Code / Desktop"]
        Codex["Codex / Antigravity"]
    end

    subgraph Transport ["Transport Layer"]
        Stdio["stdio (Python MCP SDK)"]
    end

    subgraph Core ["ellmos-homebase-mcp Core Engine"]
        Server["homebase.server"]
        Config["homebase.config"]
    end

    subgraph ToolGroups ["51 MCP Tools across 14 Functional Modules"]
        Mem["hb_mem_* (SQLite Memory)"]
        KB["hb_kb_* (Knowledge Digest)"]
        State["hb_state_* (State & Tasks)"]
        Route["hb_route_* (Model Router)"]
        Swarm["hb_swarm_* (Swarm Patterns)"]
        Api["hb_api_* (API Probing)"]
        Conn["hb_conn_* (Connectors Queue)"]
        Auto["hb_auto_* (Automation Chains)"]
        Plug["hb_plug_* (Plugin Discovery)"]
        Garden["hb_garden_* (Garden Store)"]
        Test["hb_test_* (Self Tests)"]
        Policy["hb_policy_* (Policy Registry, read-only)"]
        Ticket["hb_ticket_* (Ticket Master, read-only)"]
        Lock["hb_lock_* (Lock Master, read-only)"]
    end

    subgraph Storage ["Local Storage (Offline-First)"]
        DB[(SQLite Storage ~/.homebase/)]
    end

    Clients --> Stdio
    Stdio --> Server
    Server --> Config
    Server --> ToolGroups
    ToolGroups --> DB

Sequence Flow & Lifecycle

mermaid
sequenceDiagram
    autonumber
    participant Client as MCP Client (Local LLM / Claude / Codex)
    participant Stdio as Transport Layer (stdio)
    participant Server as Server & Registry (homebase)
    participant Module as Functional Module (hb_mem / hb_state / hb_route)
    participant Engine as Engine Seam (Bundled vs Canonical)
    participant DB as SQLite Storage (~/.homebase/)

    Client->>Stdio: JSON-RPC 2.0 Request (tools/call: hb_mem_store, agent_id="agent-01")
    Stdio->>Server: Decode & dispatch tool call
    Server->>Module: Validate arguments & inject agent provenance
    alt Bundled Engine Mode (Default)
        Module->>DB: Execute SQLite query (WAL mode, busy timeout)
        DB-->>Module: Return structured records / mutation status
    else Canonical Engine Mode ([engines].mode = "canonical")
        Module->>Engine: Seam check (Gardener / TASKPLAN / USMC)
        alt Engine Available
            Engine-->>Module: Delegate to canonical subsystem
        else Engine Unreachable
            Engine-->>Module: Raise CanonicalEngineUnavailable (Fail-Closed)
        end
    end
    Module-->>Server: Format response in requested language (i18n: en/de/es/zh/ja/ru)
    Server-->>Stdio: Encode JSON-RPC 2.0 Response
    Stdio-->>Client: Result payload (Zero cloud egress, 100% local)

Core Capabilities & Security Invariants

Capability / InvariantGuaranteeTechnical Implementation
100% Local-First & Zero-EgressComplete privacy and offline operation; no unexpected cloud communication or telemetry.All persistent memory, knowledge, and state are saved in local SQLite (~/.homebase/).
Strict Engine Seams & Fail-ClosedNo silent fallback into disconnected databases when requesting canonical systems.MODE-CONTRACT.md enforcement: raises CanonicalEngineUnavailable if target is unreachable.
Team-Memory Provenance (agent_id)Deterministic audit trail and filterable ownership for multi-agent workflows.Native agent_id tracking across memory facts, knowledge entries, and task state.
Credential-Free Discovery & PlanningZero secret exposure during local routing recommendations and API probing.hb_route_*, hb_swarm_*, and hb_api_* run without transmitting API keys or private tokens.
Safe Plan-and-Queue AdaptersSafe queueing and chain staging without arbitrary remote code execution.hb_conn_* and hb_auto_* maintain plan-only queues and offline staging records.
Full Native i18n LocalizationSeamless multilingual developer and agent interaction.Localized tool descriptions and JSON schemas for en, de, es, zh, ja, ru.
Non-Elevation & Secret HygieneUnprivileged execution and strict credential exclusion from distribution.Non-root compatibility; live configs/secrets ignored in .gitignore and .npmignore.
Multi-OS CI Smoke IntegrityVerified cross-platform reliability on all major operating systems.Multi-version CI matrix covering Python 3.10–3.13 and Node.js 20–24 on Linux/Windows/macOS.

Start Here

NeedEntry point
Install the alpha MCP servernpm install -g ellmos-homebase-mcp@alpha
Run from a source checkoutpython -m homebase.server with PYTHONPATH=src
Configure a local LLM harness, Claude Code, Codex, or any MCP clientMCP Client Configuration
Inspect the machine-readable project summaryllms.txt
Check registry metadataserver.json

Status

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Ellmos Homebase

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ellmos-homebase": { "command": "npx", "args": ["-y", "ellmos Homebase"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
29Quality signal: Emerging Β· 29/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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