Yggdrasil runs on your own machine — the client starts it, so there is no endpoint to ping. 149 installs a week from pypi. Last commit 25 Oct 2026.
One shared, durable memory for your AI coding agents — local-first, zero-dependency.
We read the source, 7 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const r = spawnSync(cmd, ['--version'], { stdio: 'ignore' });
top = subprocess.run(["git", "-C", cwd, "rev-parse", "--show-toplevel"],
env = dict(os.environ)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add yggdrasil -- uvx yggdrasil-memory
{
"mcpServers": {
"yggdrasil": {
"command": "uvx",
"args": [
"yggdrasil-memory"
]
}
}
}
[mcp_servers.yggdrasil]
command = "uvx"
args = ["yggdrasil-memory"]
{
"mcpServers": {
"yggdrasil": {
"command": "uvx",
"args": [
"yggdrasil-memory"
]
}
}
}
{
"servers": {
"yggdrasil": {
"type": "stdio",
"command": "uvx",
"args": [
"yggdrasil-memory"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
YGG_ENGINE_URL (Base URL of the Yggdrasil engine HTTP API), YGG_ENGINE_TOKEN (Bearer token for authenticating to the Yggdrasil engine (from ~/.yggdrasil/token after `ygg install`)).
Local-first shared memory for AI coding agents: one searchable store, served over MCP. MIT.
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
Local-first long-term memory for AI coding agents. Stored on your own machine.
Local-first, cross-harness memory for AI coding agents.
Local-first, governable long-term memory for AI coding agents
Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.
Shared debugging memory for AI coding agents
Durable local-first MCP relay for independent coding agents.
Answers built from our own checks of this server.