#ai-infrastructure

HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.

Multi-Agent AI Orchestrator 2026 🚀 | YAML, 6+ LLM Providers, ReAct & Swarm

Personal AI agent configuration hub: manages coding assistant setups (OpenCode, Claude, Copilot, Pi, Qwen), includes Headroom API proxy for LLM traffic compression, and integrated MCP server with persistent cross-session memory.

WiFi for AIs — drop-in skill that lets any AI publish a discoverable, controllable endpoint. Bidirectional: AI sees its connected clients and their capabilities.

Production-grade semantic caching for LLM applications using classifier-validated equivalence, cross-encoder verification and risk-aware cache policies.

AI governance and edge infrastructure platform with HTTP/3, OpenTelemetry tracing, adaptive load shedding, circuit breakers and Kubernetes deployment support.

Community catalog of LLM model specs — pricing, context windows, capabilities, and AI-CLI compatibility. Auto-synced from LiteLLM with objective corrections.

AI-assisted collections & back-office automation console: risk scoring, human-approved workflows, and audit trail for overdue accounts. Next.js 15 + TypeScript.

A technical publication defining storage architecture, data movement, tiering, governance, and infrastructure requirements for AI data pipelines and AI factories.

Unified LLM client — one interface for OpenAI, Anthropic, Gemini, Groq, DeepSeek. Parallel calls, vision support, cost tracking. Powers RawEval's multi-model evaluation pipeline.

Help AI agents remember, reason, and continue work across sessions through event-sourced cognitive continuity.

AI Audit State framework: analyzing capital, energy & labor constraints for systemic risk.

Open measurement infrastructure for the Agent Capability Economy — how AI agents discover, choose, use, and derive value from software capabilities (Reach → Choice → Use → Utility → Value). A proposed open measurement standard.

Predict rate-limit cutoffs inside your AI agent. Local MCP server + CLI that tracks Claude Max, ChatGPT Plus/Pro/Team, GitHub Copilot, Cursor plan windows and warns before you hit the cap.