Semantica is an open-source Python framework for building context graphs and decision intelligence layers on top of AI agents and LLM applications. It provides structured context, causal reasoning, and full decision provenance, making AI explainable and traceable.

Yes. The core library is 100% free and open source under the MIT license. No feature gating, no usage limits, no hidden tiers.

How is Semantica different from LangChain or LlamaIndex?

LangChain and LlamaIndex focus on orchestration and retrieval. Semantica adds a structured knowledge layer — context graphs, causal decision tracking, and W3C PROV-O provenance — that integrates on top of any framework.

Which AI frameworks does Semantica support?

Semantica integrates with LangGraph, CrewAI, LlamaIndex, Claude Code, AutoGen, and any Python-based agent framework, along with 100+ LLM models via LiteLLM.

What is a context graph?

A context graph is a structured, queryable knowledge graph that stores entities, relationships, and decisions made by your AI — with temporal validity and full provenance. Unlike a vector store, it understands causal relationships.

Does Semantica require a vector database?

No. Semantica works standalone. When you want hybrid graph + semantic retrieval it integrates natively with FAISS, Pinecone, Weaviate, Qdrant, Milvus, and pgvector.

What is decision provenance?

Decision provenance means every action your AI takes is stored as a first-class object with its inputs, reasoning chain, and outcome — compliant with W3C PROV-O. You can always audit why the AI did what it did.

How do I get started?

Run pip install semantica, then follow the quickstart in the docs at docs.getsemantica.ai. The core graph is up and running in under 10 lines of Python.

Security

Security & Data Handling

Last updated: August 2026

Open, auditable by design

The Semantica core engine is MIT-licensed and fully open source. There is no closed binary, no obfuscated logic, and no hidden data path — every line that builds a context graph, traces a decision, or records provenance is readable on GitHub.

Open-source library

The Semantica Python library does not transmit any data to our servers. All graph computation runs locally within your own environment — your data, your infrastructure. No telemetry is collected from library users unless you explicitly configure an integration that does so.

This website

We collect minimal analytics and standard server logs — see the full breakdown in our Privacy Policy. We don't sell or share this data with third parties.

Enterprise deployments

Semantica has no managed cloud offering, and no plans to build one — every deployment runs on infrastructure you control, whether that's a Pilot / Design Partner engagement or a full Enterprise Forward Deployment on-premise or in your own VPC. Encryption at rest and in transit, VPC isolation, full audit trails, and SOC 2 readiness are things we help you configure in your own environment, not certifications held by a service we operate.

Reporting a vulnerability

Found a security issue? Please report it privately rather than filing a public GitHub issue — email kaif@getsemantica.ai with details and, if possible, steps to reproduce. We aim to acknowledge reports promptly and will credit responsible disclosures unless you prefer to stay anonymous.