#ai

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Validate and retry LLM outputs for ruby_llm. Describe the JSON response you expect, fall back to a stronger model when the cheaper one fails the rules, and gate CI on regressions — all as one contract object per step.

An open-source, provider-agnostic execution and replay infrastructure for AI applications, LLM applications, agents, agentic workflows, RAG systems, tool-using systems, and multi-agent systems.

Monorepo for the Krova Cloud JS/TS packages — SDK, CLI, MCP, webhook verifier, n8n node.

Framework-agnostic PHP SDK for AI providers with typed results and platform abstraction

The production HTTP control plane for durable AI runs. Start, schedule, observe, and replay AI workflows across any client — terminal, browser, tray, Telegram, or email. Replay-first architecture with append-only ledger.

Unofficial .NET SDK for Langfuse

Provider-neutral AI code review engine with an Ollama/OpenRouter adapters.

A temporal context graph, a memory API, retrieval primitives, and a multiple-platform integration mesh — designed to be embedded into any host process.

SQL queries for CSV files. The analytical CSV query engine for AI agents cli: csvql.

A runtime for apps, agents and services

AI pull-request reviewer: hybrid RAG + a code graph + Claude Code/Codex. Whole-repo context, inline GitHub comments grounded on exact code. MCP server + Claude Code/Codex plugin.

开源的 AI 时代软件研发方法论 | Open-source software development methodology for the AI era

Laravel integration for the Anthropic API: facade, config publishing, install command, testing fakes, messages, streaming, tool use, thinking, and batches.

PHP client for the Anthropic API: messages, streaming, tool use, thinking, web search, code execution, batches, and more.

AI multimodal CLI — Gemini, MiniMax, OpenRouter, ffmpeg, ImageMagick, doc-to-md

Recommends the right AI model, platform, and settings for any prompt — grounded in public benchmarks and per-category ratings. BYO-key CLI, MCP server, and web app.

AI native API/MCP framework for the agent era. Built with agents, for agents.

Deploy, update, and manage multiple stateful AI agents from YAML configuration files with simple commands like lettactl apply -f agents.yml

An AI assistant runtime for coding and team workflows, with DingTalk AI Cards, sub-agents, memory, and tasks.

Persistent memory for AI agents

An intelligent Playwright HTML reporter with AI-powered failure analysis, flakiness detection, and performance regression alerts

Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP)

Orchestration of autonomous, collaborative AI agents in Go — an idiomatic Go port of CrewAI.

Give agents an operating system as a library. Runs in your existing backend – no sandboxes, VMs, or SaaS. Powered by WebAssembly & V8 isolates.

Distribute AI Skills as Composer dependencies

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

Fork Pi

Autonomous software delivery with AI agents — your BACKLOG runs itself, guided by encoded engineering discipline. No sprints, no hand-holding.

AI-powered security alert management that reduces noise and accelerates response time