multimind-sdk
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multimindlab
Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. Enterprise-ready. Hybrid RAG.Star 🌟 if you like it!
## Description This PR significantly improves the MCP workflow example by adding dynamic topic input, resolving model compatibility issues, and introducing automatic model selection based on available API keys. It...
## Description This PR introduces full Ollama provider integration for text generation, code review, embeddings, and image analysis. It enhances the Ensemble CLI with provider-specific routing and automatic provider detection...
## Description This PR refactors all Compliance CLI commands to correctly map to the existing methods in the PrivacyCompliance class. It replaces calls to non-existent methods with the appropriate existing...
Current test pass rate is 78.5% (157/200 passing). Fix all failing tests and skipped tests to achieve 95%+ reliability. It's approved to 78.5% to 81%., We are still working on...
## **Current Package Size Analysis** ### **Package Structure** ``` multimind-sdk/ ├── setup.py # Main package configuration ├── requirements-base.txt # Base dependencies (16 packages) ├── requirements.txt # Full dependencies (150+ packages)...
🧠 LLM-BUILDING CAPABILITY AUDIT (Only Focus: Pretraining, Fine-tuning, MoE, Domain-Specific Guardrailed LLMs) Capability Area | SDK Status | What to Use Now (if SDK doesn’t support) | Notes / Next...
## Bug Description Several example scripts in the `examples/compliance/` directory fail to run due to missing modules like `cryptography.zkp`. The standard Python `cryptography` library does not contain submodules such as...
**Title:** 🛠️ Refactor into Monorepo for Python & JS SDKs **Description:** Currently, MultiMind SDK maintains two separate repositories: * `multimindlab/multimind-sdk` (Python) * `multimindlab/multimind-sdk-js` (JavaScript/TypeScript) I propose refactoring into a single...
# MultiMind SDK Python vs JavaScript (Develop Branch) – Deep Technical Analysis ## 1. Feature-by-Feature Comparison **Fine-Tuning (Training)** – **Python**: Full support for advanced fine-tuning methods (LoRA, Q-LoRA, Adapters, UniPELT+,...
# Pull Request ## Description This PR implements the advanced modular memory and agentic architecture as outlined in [Issue #32](https://github.com/multimindlab/multimind-sdk/issues/32). It introduces a full symbolic memory stack (GraphMemoryAgent, MemoryTripleStore, Deduplicator,...
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Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. Enterprise-ready. Hybrid RAG.Star 🌟 if you like it!