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by trustgraph-ai · Agent Tool · ★ 2.2k
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Website Blog Write context once. Run agents anywhere. Stop rebuilding context from scratch. TrustGraph treats context as a holon: modular, independent Context Cores that power multi-tenant agent workflows, while naturally snapping together to form a unified, domain-wide intelligence layer that dramatically reduces your token consumption. Version your context, share it across teams, and scale with full p
| Stars | 2,187 |
| Forks | 253 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.1019072703781/100 |
| Open Issues | 30 |
| Last Updated | 2026-06-18 |
| Created | 2024-07-10 |
| Platforms | python |
| Est. Tokens | ~16k |
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TrustGraph is Write context once. Run agents anywhere. Discover the power of holons and dramatically reduce your token usage.. It is categorized as a Agent Tool with 2.2k GitHub stars.
TrustGraph is primarily written in Python. It covers topics such as agent, agent-memory, agent-runtime.
You can find installation instructions and usage details in the TrustGraph GitHub repository at github.com/trustgraph-ai/TrustGraph. The project has 2.2k stars and 253 forks, indicating an active community.
TrustGraph is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to TrustGraph on Agent Skills Hub include open-ontologies, m_flow, mcp-memory-service. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.