trustgraph-ai/trustgraph
The Semantic Intelligence Layer for Ontologies
Star History
Momentum
+69
STARS · LAST 30 DAYS
2
PER DAY
#247
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +69 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +2 | +6 | +16 |
trustgraph gained 69 stars in the last 30 days, about 2 a day, and now has 2.8K. It is about 2 years old and has averaged roughly 1.4K stars a year. It ranks #247 among Python repositories and #1,735 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#1563
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
trustgraph has maintained a continuous presence across global trending indexes, peaking at #1563. Below is the 30-day activity profile:
💡 Overview
trustgraph is an open-source project written in Python: The Semantic Intelligence Layer for Ontologies.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agent-runtime, context-graph. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install trustgraph
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
trustgraph coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with trustgraph.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install trustgraph using your package manager: `pip install trustgraph`
Initialize your project workspace or configuration file for trustgraph.
Import trustgraph into your codebase or invoke it directly from your terminal.
Execute your test suite or run `trustgraph --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
trustgraph-ai/trustgraph is currently ranked #1,735 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #1,734 | appandflow/react-native-safe-area-context | TypeScript | ★ 2.8K | Compare ↗ |
| #1,735 | trustgraph-ai/trustgraph This Project | Python | ★ 2.8K | |
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Frequently Asked Questions
What does trustgraph do? +
The Semantic Intelligence Layer for Ontologies
What language is trustgraph written in? +
The primary language is Python. Topics include: agent, agent-runtime, context-graph, determinism, document-processing.
Is trustgraph actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 20 open issues being tracked.
How many stars does trustgraph have? +
trustgraph has 2,755 stars and 324 forks on GitHub.
How does trustgraph rank among GitHub repositories? +
With 2,755 stars, trustgraph-ai/trustgraph is ranked #1,735 globally across all repositories tracked on GitHubRepo and #247 among Python projects.
What license is trustgraph distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.