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AI快讯 / AI 开源项目

ai-coding-principles

Build AI coding principles for Claude Code, with discipline rules and system design guides to improve code quality and reduce bad patterns

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Build AI coding principles for Claude Code, with discipline rules and system design guides to improve code quality and reduce bad patterns

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cachellm

Cut token costs by caching LLM responses locally for OpenAI-compatible providers, eliminating duplicate API calls.

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llm-eval-harness

A tiny, dependency-free Python harness for scoring LLM answers against a gold set (exact / contains / numeric matching, CI-friendly).

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ha-ai-pool

Home Assistant integration: pool AI providers for ai_task, conversation, TTS and STT with quota rotation and error-aware failover

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ai-agents.nvim

One picker for every AI coding agent in Neovim - Claude Code, Codex, Copilot, opencode, Gemini and API models - with a single accept/reject flow for the changes they propose

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pi-omniroute

OmniRoute provider extension for pi — self-hosted gateway routing 350+ AI providers (Claude, GPT, Gemini, DeepSeek, …) with quota-aware auto-fallback and token compression, exposed as an OpenAI-compatible provider.

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tokcodec

Token codec for AI coding tools: same signal, 30–95% fewer tokens. Works with Claude Code via npx tokcodec install.