Costa Tsaousis

@ktsaou · User

GitHub profile ↗ · Compare

Founder and CEO of netdata

netdata, Inc.Greece714 followers99 repositories

Repositories

ktsaou/netdata

Real-time performance monitoring, done right!

★ 79GoForks 14

ktsaou/freshdesk_mcp

MCP server created for Freshdesk, allowing AI models to interact with Freshdesk modules

★ 0PythonForks 0

ktsaou/reddit-mcp-server

⚙️ A Model Context Protocol (MCP) that provides tools for fetching and creating Reddit content

★ 0TypeScriptForks 0

ktsaou/ai-link

Link coding-agent sessions (Codex, Claude Code, OpenCode, pi) via a shared filesystem bus — one implementation, per-client adapters

★ 0ShellForks 0

ktsaou/ai-usage

Monitor AI subscription usage across providers (z.ai, minimax, kimi, mimo, deepseek, openrouter). Daemon with Prometheus metrics, MCP tools, web dashboard, and remote agent support.

★ 0TypeScriptForks 0

ktsaou/qwen38-inference-repro

Pinned Qwen3.8 Flash Next vLLM and SGLang production recipes, source overlays, and benchmark reproduction instructions

★ 0PythonForks 0

ktsaou/sglang

Qwen3.8 Flash-Next SM120 TP2 packed-PLE and vision patches, reproducible build and deployment

★ 0Forks 0

ktsaou/diagram-design

38 editorial diagram types for Claude Code, Codex, and Pi. Self-contained HTML + SVG. No shadows. No Mermaid slop.

★ 0Forks 0

ktsaou/triton

Development repository for the Triton language and compiler

★ 0Forks 0

ktsaou/exllamav3

An optimized quantization and inference library for running LLMs locally on modern consumer-class GPUs

★ 0Forks 0

ktsaou/DeepGEMM

DeepGEMM: clean and efficient BLAS kernel library on GPU

★ 0Forks 0

ktsaou/LMCache

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

★ 0Forks 0

ktsaou/llm-inference-bench

LLM inference decode throughput benchmark with Rich TUI dashboard. Measures token generation speed across concurrency levels and context lengths. Supports SGLang and vLLM engines.

★ 0Forks 0

ktsaou/Model-Optimizer

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.

★ 0Forks 0

ktsaou/rtx6kpro

RTX 6000 Pro Wiki — Running Large LLMs (Qwen3.5-397B, Kimi-K2.5, GLM-5) on PCIe GPUs without NVLink

★ 0Forks 0

ktsaou/ninfer

High-performance single-GPU inference for selected model checkpoints and GPUs.

★ 0Forks 0

ktsaou/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

★ 0Forks 0

ktsaou/nut

The Network UPS Tools repository. UPS management protocol Informational RFC 9271 published by IETF at https://www.rfc-editor.org/info/rfc9271 Please star NUT on GitHub, this helps with sponsorships!

★ 0Forks 0

ktsaou/aiolos

Aiolos — a lean, agnostic orchestrator that commands autonomous modules (anemoi) to regulate hardware (fans) by temperature over a one-line-JSON stdio protocol.

★ 0RustForks 0

ktsaou/firecrawl

🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data

★ 0TypeScriptForks 0

ktsaou/mcp-test-client

Browser-based MCP client for exploring any online MCP server. No install. No backend. Auto-generates forms from tool schemas.

★ 1TypeScriptForks 0

ktsaou/ollama-templates

Tools and documentation for creating proper, fully functional Ollama model templates. Addresses critical issues with community-generated Ollama models that often have incorrect or incomplete templates, resulting in models that cannot properly handle chat history, tool executions, and other advanced features.

★ 5ShellForks 0