microsoft / microsoft/semantic-kernel
New Feature: Foundgine integration with sample
Nobody has claimed this yet.
- Dominant language
- C#
- Stars
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- Avg merge
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- Merged PRs (30d)
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Description
name: Adding officially a new integration with Foundgine
about: Foundgine is an AI-native runtime for .NET that turns complex domain models into safe, semantic capabilities that AI agents can understand, plan, execute, and verify.
As of now Foundgine already has several available features and concepts that might relevant to integrate with semantic kernel.
Contains relevant unit. int, perf, load tests; the reason being is to provide new approaches and also adding an e2e sample in the repository. I believe can bring a lot of opportunities to the community
Intent Sources
API GraphQL Automation AI Agent
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└────────┴──────────────┴─────────────┘
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┌───────────────┐
│ Foundgine │
│ │
│ Semantic │
│ Authorization │
│ Planning │
│ Execution │
└───────┬───────┘
│
┌───────────┼───────────┐
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SQL InMemory Providers
I create another post here: https://github.com/microsoft/semantic-kernel/discussions/14290#discussion-10622426. But I am posting here for visibility.
Foundgine:
Feel free to reach out or comment — I’d be very interested in discussing the architectural direction and potential integration points.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the Foundgine website, GitHub repository, NuGet package, and the linked discussion to understand the proposed integration points with Semantic Kernel. Define the architectural scope before locating the appropriate integration and sample areas. Done should include an agreed integration, an end-to-end repository sample, and the relevant unit, integration, performance, and load tests described in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- csharp
- Domain
- ai, backend-api-design
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100