AI Governance Infrastructure — local evaluation. The governance layer for AI agents: a single compiled Rust binary that authenticates, authorises, rate-limits, logs, and costs every AI interaction. Self-hosted, air-gap capable, provider-agnostic.
GitHub repository with 14 stars and 2 forks.
Language: Rust
Topics: ai-infrastructure, rust, a2a, agent-orchestration, autonomous-agents, claude, llm, mcp, model-context-protocol, ai-agents
2026-06-05: 14 stars and 2 forks.
Give AI coding agents the context they need to ship production-quality software.
GitHub repository with 209 stars and 17 forks.
Trending score: 0.70; stars gained: +3; forks gained: +0.
Language: Rust
Topics: ai, ai-agent, ai-agents, ai-assistant, ai-infra, ai-infrastructure
A living substrate an AI agent inhabits: eternal devouring, eternal evolution.
GitHub repository with 63 stars and 7 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Rust
Topics: ai-agents, biomimetics, claude, claude-code, codex, cognitive-substrate
An enhanced tool for CodexApp, striving to make Codex better to use and more comfortable 一个CodexApp的增强工具，努力让Codex变得更好用更舒服
GitHub repository with 14,057 stars and 871 forks.
Trending score: 5.16; stars gained: +916; forks gained: +44.
Language: Rust
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
GitHub repository with 59,182 stars and 3,643 forks.
Trending score: 4.96; stars gained: +654; forks gained: +44.
Language: Rust
Topics: agentic-coding, ai-coding, anthropic, claude-code, cli, command-line-tool
Lightweight coding agent that runs in your terminal
GitHub repository with 88,939 stars and 13,069 forks.
Trending score: 4.58; stars gained: +326; forks gained: +48.
Language: Rust
Your Personal AI super intelligence. Private, Simple and extremely powerful.
GitHub repository with 30,877 stars and 2,982 forks.
Trending score: 4.37; stars gained: +332; forks gained: +50.
Language: Rust
Codebase intelligence for TypeScript and JavaScript. Free static layer: unused code, duplication, circular deps, complexity hotspots, architecture boundaries. Optional paid runtime layer: hot-path review and cold-path deletion evidence from real production traffic. Rust-native, sub-second, zero-config framework support.
GitHub repository with 3,118 stars and 96 forks.
Trending score: 4.05; stars gained: +346; forks gained: +16.
Language: Rust
Topics: cli, code-duplication, code-quality, codebase-intelligence, copy-paste-detection, dead-code
High performance object store for fast LLM Inference and GPU Training. Feed your GPUs at blazing fast speeds
GitHub repository with 1,118 stars and 176 forks.
Trending score: 4.00; stars gained: +244; forks gained: +120.
Language: Rust
Topics: blackwell, gpt, gpu, high-performance, llm, llm-training
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
GitHub repository with 789 stars and 114 forks.
Trending score: 1.29; stars gained: +22; forks gained: +8.
Language: Python
Topics: ai-infrastructure, curriculum, gpu, intermediate, kubernetes, learning
An Inference Operating System that reduces unnecessary LLM calls by structuring intelligence before scaling it.
GitHub repository with 18 stars and 20 forks.
Trending score: 0.71; stars gained: +4; forks gained: +1.
Language: Python
Topics: agent-framework, ai-infrastructure, cost-optimization, inference, json-schema, large-language-models
Give AI coding agents the context they need to ship production-quality software.
GitHub repository with 209 stars and 17 forks.
Trending score: 0.70; stars gained: +3; forks gained: +0.
Language: Rust
Topics: ai, ai-agent, ai-agents, ai-assistant, ai-infra, ai-infrastructure
Deterministic execution authorization for AI agents
GitHub repository with 12 stars and 3 forks.
Trending score: 0.50; stars gained: +1; forks gained: +1.
Language: TypeScript
Topics: agent-runtime, agent-safety, deterministic-systems, policy-engine, runtime-guardrails, execution-authorization
Beginner-to-master roadmap for becoming a modern AI engineer: AI and ML fundamentals, deep learning, LLMs, RAG, agents, model infrastructure, optimization, hardware acceleration, AI security, blockchain, and ZKML.
GitHub repository with 7 stars and 4 forks.
Trending score: 0.33; stars gained: +1; forks gained: +0.
Language: Python
Topics: agentic-ai, ai, ai-applications, ai-engineer, ai-infrastructure, beginner-friendly
AI Infrastructure Performance Engineer Learning Track - GPU optimization, inference optimization, and cost reduction
GitHub repository with 29 stars and 8 forks.
Trending score: 0.32; stars gained: +0; forks gained: +0.
Language: Python
Topics: advanced, ai-infrastructure, cost-optimization, curriculum, gpu-optimization, inference