Filippo-Venturini/ctxvault
Local memory infrastructure for AI agents. Isolated vaults you compose, control, monitor and query — no cloud, no setup.
This project helps AI developers build AI agents with robust, independent memory systems. It takes in various document types and agent-defined 'skills,' organizing them into isolated 'vaults.' The output is a highly structured, persistent memory that agents can query for knowledge or behavioral instructions, enabling more reliable and controllable AI agent applications.
Available on PyPI.
Use this if you are developing AI agents and need a reliable, persistent, and structured local memory system that separates knowledge from behavioral instructions and ensures strict isolation between agent memories.
Not ideal if you need a cloud-based memory solution or a simple, undifferentiated vector store for basic retrieval-augmented generation without complex agent interactions.
Stars
26
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Dependencies
16
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/Filippo-Venturini/ctxvault"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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