by Agience · MCP Server · ★ 39
Agience The operating system that AI workflows trust. Agience turns AI-generated output into durable, governed knowledge artifacts with identity, provenance, and version history so humans and agents can safely collaborate on the same information substrate. Why Agience AI generates output. It doesn't create trust. Any LLM can produce summaries, drafts, and decisions at scale — but without identity and provenance, those outputs have no chain of custody and no reason for anyone downstream to build on them. Agience is what turns AI output into something an organization can actually rely on.
| Stars | 39 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 69.3950608592971/100 |
| Last Updated | 2026-06-12 |
| Created | 2024-09-27 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
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agience-core is The operating system that AI workflows trust. Structure messy inputs. Establish identity. Track provenance. Build the durable data layer your AI workflows need to be trusted, reusable, and auditable.. It is categorized as a MCP Server with 39 GitHub stars.
agience-core is primarily written in Python. It covers topics such as ai-agents, fastapi, knowledge-management.
You can find installation instructions and usage details in the agience-core GitHub repository at github.com/Agience/agience-core. The project has 39 stars and 16 forks, indicating an active community.