OpenCode++：面向 OpenCode 的 AI 编程可靠性增强框架，为其增加上下文管理、编辑边界、命令证据、验证门禁、影响分析与修复闭环能力。OpenCode++: a Coding Agent Reliability Harness for OpenCode, adding context, edit boundaries, command evidence, verification gates, impact analysis, and repair loops.

Agentic eval framework for Laravel: golden datasets, LLM-as-judge, adversarial harness, regression detection

The open-source workspace where humans and AI agents work as one team.

Source-available Harness AI / Agent OS for teams building governed agent applications — with Nexus orchestration, policy-controlled tools, RAG, memory, trace/evidence, HITL, and runtime boundaries.

Shovs LLM OS is a local-first research runtime for studying agents that plan, use tools, remember, verify, and explain what happened.

Drop-in TruLens evaluation harness for tool-calling LangGraph agents. Swap LLM providers (OpenAI, Anthropic via LiteLLM, Bedrock, Cortex, Gemini, Ollama) with a single env var. Ships with the RAG Triad plus Plan Quality, Plan Adherence, Execution Efficiency, and Logical Consistency metrics.

Pluggable DeepEval scaffold for RAG, agents, and LLM apps across Anthropic, Bedrock, Azure OpenAI, and Vertex. Ships traceability, test synthesis, safety/PII gating, multi-turn conversation eval, agentic tool-use scoring, JSON validation, judge benchmarks, hyperparameter sweeps, and pytest CI — one Makefile target per feature.

Provider-agnostic RAG evaluation harness powered by RAGAS with pluggable LLM and embedding backends.

Building AI developer tools in Rust 🦀 | MCP servers • Agentic CI/CD • Code Intelligence • Hodei Platform

A language-independent, Copier-based AI coding harness that overlays repository-level agent contracts, decision records, and safe workflow boundaries onto existing projects.

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