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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

  • September 18, 2026: Stars 12,127 → 13,134, latest release v0.6.8 (September 5, 2026).
  • September 6, 2026: Stars 11,491 → 12,127, latest release v0.6.8 (September 5, 2026).
  • August 31, 2026: Stars 11,005 → 11,491, latest release v0.6.7 (August 28, 2026).
  • August 27, 2026: Stars 9,708 → 11,005, latest release v0.6.6 (August 20, 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 semantica

Running it

Launching the control panel
semantica

If 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

Graph-native InfrastructureGraph-nativeLLMArtificial Intelligence
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. This page was machine-translated from the Turkish original · the Turkish version prevails.