model-independence

Here are 4 public repositories matching this topic...

guyshonshon / vibestrate

Open-source supervised flow for AI coding. Run Claude Code, Codex, Gemini, Aider or local models as one crew, approve the risky steps yourself, and keep every run log on your machine. Swap providers without rewriting the flow.

cli ai gemini developer-tools code-review agents codex orchestrator workflow-automation claude local-first llm ollama agent-orchestration vibe-coding claude-code model-independence shared-flows

Updated Sep 7, 2026
TypeScript

ajananth / iq-nonparametric-learning

Star

Pair Fabric IQ semantic grounding with non-parametric learning—optimize the harness, freeze the weights—to build model-independent, lower-cost enterprise AI agents.

ontology knowledge-base slm ai-agents rag llm microsoft-fabric prompt-optimization non-parametric-learning azure-ai-foundry fabric-iq model-independence

Updated Jul 31, 2026
Python

lluvr / frame-check

Star

Structural framing analysis as an MCP server with deterministic detection. The caller's agent runs the judge, so Frame Check bears zero LLM cost per query.

python ai mcp llm llm-tools claude-desktop claim-verification source-verification model-context-protocol mcp-server ai-document-analysis framing-analysis clarethium model-independence epistemic-evaluation

Updated Aug 10, 2026
Python

lluvr / touchstone

Star

A deterministic first-pass filter for unsupported claims in LLM output, computed without calling another LLM. Not a standalone hallucination detector. A spec plus reference implementation, shipped as touchstone-mcp.

python mcp verification methodology touchstone llm llm-evaluation measurement-standard model-context-protocol mcp-server ai-output-verification clarethium model-independence

Updated Jul 27, 2026
Python

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