Telys — on-device memory runs on your own machine — the client starts it, so there is no endpoint to ping. 1 114 installs a week from pypi. Last commit 31 Oct 2026.
Private on-device memory & retrieval for AI assistants — offline vector + lexical search.
We read the source, 1 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.
proc = subprocess.Popen(cmd, env=child_env)
dev = os.path.abspath(os.path.join(here, "..", "..", "..", "mojo_build", f"libame_kernel.{paths.lib_ext()}"))
__import__(mod)
child_env = dict(os.environ if env is None else env)
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 telys -- uvx telys
{
"mcpServers": {
"telys": {
"command": "uvx",
"args": [
"telys"
]
}
}
}
[mcp_servers.telys]
command = "uvx"
args = ["telys"]
{
"mcpServers": {
"telys": {
"command": "uvx",
"args": [
"telys"
]
}
}
}
{
"servers": {
"telys": {
"type": "stdio",
"command": "uvx",
"args": [
"telys"
]
}
}
}
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Answers built from our own checks of this server.