YantrikDB — persistent memory
Talk to a YantrikDB memory server from the IPython kernel. Memory persists
across sessions and across harnesses: what you remember here, a future
session — or a different agent pointed at the same database — can recall.
Setup
Requires a running yantrikdb-mcp server on the streamable-http transport:
YANTRIKDB_API_KEY=<your-token> yantrikdb-mcp --transport streamable-http --host 127.0.0.1 --port 8420
and the same YANTRIKDB_API_KEY value in Prime Agent's environment. The
server URL defaults to http://127.0.0.1:8420/mcp; override it with a
yantrikdb entry under mcpServers in ~/.prime/agent/settings.json.
Usage
Discover before you call — the server defines the tool set:
import yantrikdb
for tool in await yantrikdb.list_tools():
print(tool["name"], "-", tool["description"])
# Store a durable fact
await yantrikdb.remember(text="User prefers dark mode in the editor", importance=0.7)
# Retrieve by meaning, not keywords
hits = await yantrikdb.recall(query="what editor settings does the user like")
print(hits)
# Revise a fact without losing history (do NOT remember a contradiction)
await yantrikdb.correct(query="editor preference", new_text="User switched to light mode", reason="user said so")
Notes:
- Every tool is an
asyncmethod — alwaysawait. - Results are already-parsed Python (a
dictfor structured output, otherwise a string). - Escape hatch for non-identifier tool names:
await yantrikdb.call_tool("name", {...}). - If a call raises
NotEnabled, theYANTRIKDB_API_KEYenvironment variable is not visible to Prime Agent — set it in the shell that launches the agent.