Andish runs on your own machine — the client starts it, so there is no endpoint to ping. 117 installs a week from pypi.
Knowledge-graph memory for your team's documents. Answers cite the source, not a summary.
Today is the operative word: we check Andish every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
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 andish-mcp -- uvx andish-mcp
{
"mcpServers": {
"andish-mcp": {
"args": [
"andish-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.andish-mcp]
command = "uvx"
args = ["andish-mcp"]
{
"mcpServers": {
"andish-mcp": {
"args": [
"andish-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"andish-mcp": {
"args": [
"andish-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
ANDISH_API_KEY (Andish API key. Create one in the dashboard at https://andish.ru), ANDISH_BASE_URL (API base URL. Defaults to the hosted service; set it only when pointing at your own deployment.).
The author declared them in the registry entry; get the values from the project itself.
Self-hosted memory for AI agents with hybrid search, knowledge graphs, tasks, and document sync.
Your AI's memory for what you actually know: recall across your documents, notes, and meetings
Local-first memory for AI agents: recall with sources, answer checks, documents, mesh, governance.
Long-term memory for you and your AIs: search memories, read the profile, add facts and documents.
Intelligent context infrastructure for AI teams: knowledge graph, sessions, tasks, documents.
Search one ClearMakes agent's knowledge: your documents, website pages and Drive files.
Local-first knowledge graphs from your documents: build, search (GraphRAG) and edit on your machine.
Australian legal documents drafted from your answers for a flat fee. Not a law firm.
Answers built from our own checks of this server.