litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…
token-monitor — проект с открытым исходным кодом из категории «Локальные LLM» от Javis603 (Javis603/token-monitor на GitHub). У него 2 591 звезда на GitHub и 261 форк, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 4 октября 2026.
Local-first widget tracking token usage and costs across 43+ AI coding tools.
Add it to your desktop.
Link the AI coding tools you use.
See tokens, costs, and limits in one place.
Keep the picture consistent across machines.
Covers Claude Code, Cursor, Codex, and many more.
See what AI assistance actually costs.
Know before you hit usage caps.
Your usage data stays on your machines.
Always-visible, glanceable monitoring.
One view across all your computers.
Download the source and move into the project folder.
git clone https://github.com/Javis603/token-monitor.git
cd token-monitorEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command43+ AI coding tools including Claude Code, Codex, Cursor, OpenCode, and OpenClaw.
MIT licensed — commercial use allowed.
It is local-first, so data stays on your devices.
Through integrations with each tool; check the docs for setup per tool.
Check the repo for supported platforms.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…
Run frontier AI locally.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI …
Local-first desktop where a commander LLM directs specialist coding agents.
Local-first markdown editor that coding assistants can drive directly.
Local-first dashboard of tokens, models, and cost for coding agents.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если token-monitor вам не подходит.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к token-monitor — продолжайте изучать полку по обе стороны от него.
AI e-book reader with semantic search, RAG chat, notes, and text-to-speech.
动手学Ollama,CPU玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models rem…
TokenSpeed — a speed-of-light LLM inference engine designed for agentic workloads, with TensorRT-LLM-level performance and vLLM-level usability
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llm…
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.