This bridge integrates Ollama into any chat interface and lets you build your own multi-agent pipeline, including a built-in memory database.

ADP is an intelligent data platform that bridges the gap between heterogeneous data sources and AI agents. It abstracts data complexity through business knowledge networks, provides unified data access (VEGA), and orchestrates data processing through DataFlow pipelines.

A zero-dependency distributed orchestrator built from scratch. Bridges static DevOps pipelines and dynamic Agentic AI workflows via a Python SDK & CLI. Features reactive auto-scaling and capability-based routing

A high-fidelity Gemini 3 agentic pipeline for Near-Earth Object appraisal, bridging the gap between raw NASA data and investable space assets.

BRIDGE Development Pipeline. From business requirements to delivered solutions using AI agents. Built for development agencies, consultancies, and engineering teams.

A voice-based personal assistant that bridges LiveKit's WebRTC infrastructure with OpenClaw's AI agent gateway. Enables natural voice conversations with your OpenClaw agent through any browser - speak, get transcribed via Deepgram, processed by OpenClaw's LLM pipeline, and hear responses via Edge TTS.

MARS is an Agentic RAG (Retrieval-Augmented Generation) pipeline designed to bridge the "Semantic Gap" and "Visual Gap" in e-commerce search.

Production-ready Agentic AI Data Pipeline built with LangGraph for cleaning and segmentation. Bridging the gap between RAG and Deterministic AI Architecture for Enterprise Data Engineering.

NEXUS-NEMODIAN The AI-Agent with a mindset for controlling natural conditions beyond irrational skills " THE ARTIFICIAL LIFESTYLE " llm "analyze bash hybrid singlefile that encapsulates es module nodejs wrapped python3 ollama bridged api pipeline sqlite3 fileindexed json md5 origin-tracked sha256 entriopy driven chunks of all concurrent agents in

PyCaretAgent is an autonomous AI agent framework that extends PyCaret with advanced reasoning and tool-use capabilities using the Google Generative AI SDK (google-adk). It bridges the gap between natural language requirements and production-ready machine learning pipelines.

Tauri 2 desktop app bridging local LLMs (Ollama) with Stable Diffusion (ComfyUI) through a multi-agent prompt engineering pipeline

BioAgent-CADD: Autonomous Lead Discovery Pipeline An Agentic AI system using CrewAI and Python to automate drug discovery. It orchestrates multi-agent workflows to scrape PubMed, analyze NCBI sequences (MW/pI), and suggest drug scaffolds. Bridging Biochemistry and Data Science for faster, autonomous CADD.

Bridging 20+ years of mission-critical industrial automation (SCADA, АСУ ТП, predictive maintenance) with modern Python-based ML/RAG pipelines and AI agents — delivering production-grade data intelligence for energy and heavy industry at scale.

SlideRAG is an agentic RAG (Retrieval-Augmented Generation) pipeline designed to bridge the gap between lecture slides and academic textbooks. It autonomously synthesizes PDF slides with a source-of-truth reference (PDF textbook) to generate a rigorous, graduate-level LaTeX textbook chapter—without hallucination or context loss.

It is a local AI middleware designed to bridge the gap between natural language and structured relational databases. Unlike traditional RAG systems that rely on vector-only search, this project implements an Agentic Pipeline that classifies user intent, extracts structured parameters, and executes precise SQL queries against a MySQL backend.

the pharma_bridge repository is a complete etl - agentic pipeline using pyspark written in databricks

OpenClaw PM Bot — bridges Telegram, Jira, and the Dev Agent pipeline for product/design management

This framework demonstrates an end-to-end pipeline for Clinical Decision Support, bridging the gap between high-dimensional Informatics and Agentic AI.

Universal payment SDK for AI agents, MCP servers, and automated pipelines. Bridges L402 (Lightning) and x402 (USDC) transparently.

AstroVoice-Agent is a real-time agentic voice middleware that bridges ASR → LLM → TTS while orchestrating asynchronous intelligence pipelines (like Vedic astrology analysis) using LangGraph, FastAPI, and Redis.

Procedural environment generation & synthetic data pipeline for AI research. Godot 4.x + Python ML bridge. Features: terrain gen, COCO export, RL agents, multi-agent swarms.

Complete pipeline from specification to shipped feature. Claude Code plugin chaining interview, research, planning, bridge transformation, and multi-agent team execution.

Agentic AI RAG Pipeline for "getting to know" about the person through reference documents, before actually starting with an icebreaker. Helper to come up with own icebreaker bridging gap/research time.

Systems Architect & Creative Director exploring agentic AI, automata theory, and serverless economics. Building modular workbooks, HITL pipelines, and identity‑preserved visual portfolios. Bridging logic and design to craft production‑ready, inclusive AI ecosystems.

Full-stack async chat middleware that bridges Open WebUI to custom AI agent pipelines — with user management, real-time status updates, persistent conversation tracking, and graceful error recovery.

Blueprint Builder: The JSON-Native Compliance Engine A production-ready agentic pipeline for Bria FIBO. Uses custom ComfyUI nodes ("Semantic Bridge") to enforce brand compliance, validate JSON schemas, and auto-correct visual parameters for deterministic enterprise generation.

Autonomous Research Agent An Agentic RAG system built with LangChain and Ollama (Llama 3) for high-fidelity local research. Features a ReAct loop to query vector data in ChromaDB and execute Python scripts. Bridges experimental ML with production-ready pipelines, emphasizing testing and scalability.

High-precision synthetic data synthesis and SFT pipeline for bridging the Knowledge Cutoff in LLMs. Optimized for NVIDIA Blackwell (sm_120) and MoE architectures. Specializing generalist models into domain-specific expert agents.

This repository contains a sophisticated AI agent designed to bridge the gap between digital assistance and autonomous content entrepreneurship. Unlike standard LLM implementations, this agent possesses a distinct personality, interacts with the local OS, and manages a full-cycle content creation pipeline.

An end-to-end Explainable AI (XAI) and Multi-Agent pipeline designed to automate and audit credit risk decisions. This system bridges the gap between complex "Black Box" machine learning and transparent, human-readable communication.