Projects with this topic
-
Production-grade memory operating system for agentic AI. Interoperates with every major framework via MCP, OpenAI-compatible gateway, and native /v1/* REST — Claude Code, OpenClaw, ZeroClaw, Hermes, MemPalace, LangChain, LlamaIndex, CrewAI, AutoGen, Mem0, Letta, Zep. In production use since December 2025. Apache 2.0.
Updated -
GitLab AI Gateway is a standalone-service that will give access to AI features to all users of GitLab, no matter which instance they are using: self-managed, dedicated or GitLab.com.
Updated -
-
ETL pipeline project using Python, pandas and SQLite to import and structure CSV, Excel and HTML data files.
Updated -
AI chatbot agency — 24-service k3s stack · Google Maps scraping → outreach → booking · ringcatch.io
Updated -
Antimicrobial stewardship platform — resistance surveillance, disproportionality analysis, RAG guideline retrieval · k3s · local LLM
Updated -
Enterprise-grade Medical AI Platform with FastAPI, Kubernetes, Monitoring and AKS-ready deployment architecture.
Updated -
Antigena (Darktrace) → Aruba ClearPass CoA bridge — model-driven, real-time user/device quarantine. Zero SOC clicks. Hexagonal architecture, 82% test coverage.
Updated -
Production-ready RAG starter: hybrid search, chunking strategies, observability (Prometheus/Grafana), MLflow tracking, drift detection, GDPR deletion, and evaluation. The parts the tutorials skip.
UpdatedUpdated -
Use Case Study: Create Agentic IA With Strans Agents SDK and AgentCore Runtime on AWS
Updated -
The Coherent Orchestration of Microcontroller, Python, and Sensor Systems (COMPASS) is an open-source, minimalist framework designed for high-performance scientific instrumentation and real-time telemetry. Developed at the Sensors and Advanced Instrumentation Laboratory (SAIL) as a responsive alternative to proprietary systems like LabVIEW, the architecture prioritizes deterministic performance and low-latency data acquisition. The hardware-to-software interface utilizes non-blocking C++ state machines on microcontrollers, leveraging millis()-based timing to ensure continuous sensor monitoring and command responsiveness. This is supported by an asynchronous Python backend using FastAPI and WebSockets, which employs dedicated background serial threads to route sub-millisecond telemetry without blocking the main event loop. The user interface is built exclusively with native Vanilla JavaScript, HTML5, and CSS3 to achieve frictionless agility and high-speed visualization by eliminating the abstraction overhead and computational latency inherent in heavy third-party frameworks.
Updated -
memory.fm is a web application for exploring music listening history from Last.fm and Spotify.
Updated -
Echo is a computer vision app for brain tumor detection and classification on MRI scans: end-to-end computer vision pipeline, interactive web interface, and production-grade infrastructure.
Updated -
Simple Web Application With FastAPI FrameWork. The project Build, Test, and deploy container image to Kubernetes Cluster.
Updated -
A modern, offline-first Point-of-Sale backend built with FastAPI. Designed for reliability in network-limited environments — ideal for events, clubs, and small associations.
Updated -
Flowlexi Labs / PaveDB — Lightweight Vector Search Microservice
CI/CD Catalog (unpublished)PaveDB — A lightweight, pluggable vector search microservice with built-in document ingestion and deep observability.Upload → chunk → index (with metadata) → search via REST and CLI, scoped by multi-tenant collections.
Updated -
AI-Powered Threat Intelligence Analysis Platform with LLM and MITRE ATT&CK integration
Updated -
Intelligent Log Parsing and Anomaly Detection with Machine Learning
Updated -
GPU-accelerated embedding server for RAG systems - CUDA, FastAPI, sentence-transformers | Serveur d'embeddings GPU ultra-rapide
Updated -
A self-service data ingestion platform that lets teams connect to 30+ databases (PostgreSQL, ClickHouse, Sybase, Snowflake, and more), upload CSVs with a visual column mapper, and execute bulk INSERT/UPSERT operations with real-time execution analytics.
Built on a FastAPI backend with Google OAuth, encrypted credential storage, and a full audit trail — paired with a React/TypeScript frontend that includes an AI-powered query risk analyzer before execution.
Designed for data engineering workflows where traceability and security matter: every operation is hashed into an immutable audit chain, and all inputs are validated against SQL injection at the API layer.
Updated