Local-first LLM orchestration: memory, knowledge, state, routing, swarm, API discovery, plugins.
Local-first LLM orchestration: memory, knowledge, state, routing, swarm, API discovery, plugins. Exposed over MCP by the ellmos homebase mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
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.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 3 environment variables: PYTHONPATH, HOMEBASE_AGENT_ID, AGENT_ID. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by ellmos-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
### Source Checkout
```json
{
"mcpServers": {
"homebase": {
"command": "python",
"args": ["-m", "homebase.server"],
"env": {
"PYTHONPATH": "/absolute/path/to/ellmos-homebase-mcp/src"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| PYTHONPATH | Filesystem location the server is allowed to use. | Optional |
| HOMEBASE_AGENT_ID | Configuration value read at startup. | Optional |
| AGENT_ID | Configuration value read at startup. | Optional |
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