(BETA) AI shouldn't have a meter. Unlimited tokens. Forever. Your machine. Your agent. Use it from anywhere. Terminal-native coding agent powered by local LLMs — 100% open source, free forever, and installed with a single command. Proudly built on C#/.NET, because AI tooling should be infrastructure, not a subscription.

C#other

推荐理由
README 将它定位为「(BETA) AI shouldn't have a meter」,核心痛点是 AI agent 接入工具/API 时的统一入口、治理和可靠调用。它已经有基础社区关注但还没过度出圈,最近两周仍在维护,主要技术栈是 C#,适合作为「AI agent 工具链」的候选项目。

注意事项
license 信息不够明确,采用前要确认授权边界;社区规模还在成长,建议先用小场景试跑;README 摘要信息有限,发布前建议再人工扫一遍文档;展示前建议跑通 README quickstart,并确认部署成本、外部依赖和数据安全边界。

README 摘要

(BETA) AI shouldn't have a meter. Unlimited tokens. Forever. Your machine. Your agent. Use it from anywhere. Terminal-native coding agent powered by local LLMs — 100% open source, free forever, and installed with a single command. Proudly built on C#/.NET, because AI tooling should be infrastructure, not a subscription.

Stars
583
Forks
61
Last push
2026/5/8

相似项目

iOfficeAI/OfficeCLI

OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. Free, open-source, single binary, no Office installation required.

GitHub
3.2K
stars
C#apache-2.0agentaiclioffice

推荐理由:README 将它定位为「OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files」,核心痛点是让 AI agent 通过可复用 skills 和工具流程处理具体任务。它有一定社区验证,同时仍保留发现潜力,最近两周仍在维护,license 清晰,主要技术栈是 C#,适合作为「AI agent 工具链」的候选项目。

注意事项:README 摘要信息有限,发布前建议再人工扫一遍文档;展示前建议跑通 README quickstart,并确认部署成本、外部依赖和数据安全边界。

BoundaryML/baml

The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

GitHub
8.2K
stars
Rustapache-2.0bamlboundarymlguardrailsllm

推荐理由:README 将它定位为「The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)」,核心痛点是把 prompt 技巧、模板和工作流沉淀成可复用资产。它的社区验证度较高,但仍未进入超高 star 项目层级,最近两周仍在维护,license 清晰,主要技术栈是 Rust,适合作为「Prompt 技巧和模板沉淀」的候选项目。

注意事项:README 摘要信息有限,发布前建议再人工扫一遍文档;展示前建议跑通 README quickstart,并确认部署成本、外部依赖和数据安全边界。