Discover · GitHub · Semantica↑ +122 today
Permanent memory to your AI agent
Semantica is a graph-native infrastructure that provides contextual data management for artificial intelligence systems. Large language models (LLM) organize data in a relational structure to produce more reliable and accountable results.
Updates
- August 8, 2026: Stars 2,396 → 2,398, latest release v0.6.0 (July 21, 2026).
Update
- August 8, 2026: Star 2,396 → 2,398, latest version v0.6.0 (July 21, 2026).
What you get
- Makes decision processes traceable and auditable
- Converts data into a relational knowledge graph
- Provides transparent reporting in compliance with regulations
Installation
Install the library
pip install semanticaRunning it
Launching the control panel
semanticaIf you don't write code
🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)
Transform my data into a structured knowledge graph using Semantica. Keep data in a relational structure to make my decision processes traceable, so I can transparently audit and report the reasons for the decisions my AI system makes.
Related dictionary terms
Who it is forIt is suitable for teams working in regulated industries such as finance, healthcare and law, where decisions made by AI agents need to be justified.
LicenseMIT
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-08-08: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state.