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📥 An inbox UX for interacting with human-in-the-loop agents.

📲 An agent for sourcing, curating, and scheduling social media posts with human-in-the-loop.

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.

vibecoding在AI写作领域的初步尝试，具备function calling，rag，mcp，skills，人在回路等功能，或许能当一个小cursor用？ A preliminary attempt at vibecoding in the field of AI writing, featuring capabilities such as function calling, RAG, MCP, skills, and human-in-the-loop. Maybe it could serve as a lightweight alternative to Cursor?

FireRed-OpenStoryline is an AI video editing agent that transforms manual editing into intention-driven directing through natural language interaction, LLM-powered planning, and precise tool orchestration. It facilitates transparent, human-in-the-loop creation with reusable Style Skills for consistent, professional storytelling.

An open-source Collaborative Multi-Agent OS for transparent, human-in-the-loop task coordination via Matrix rooms.

Runtime policy enforcement for AI agents. Cryptographic audit trail, human-in-the-loop approvals, kill switch. Zero code changes.

Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows

基于原生 Spring AI 的智能体（Agent）开发框架，提供 ReAct 执行引擎、分层记忆、工具调度、Human-in-the-Loop 等核心能力，形成完整的 Harness Engineering 方案，帮助开发者快速构建 AI Agent，可以快速搭建 Java 版的 Claude Code。

Zero-dependency TypeScript framework for production AI agents: durable execution, long-term memory, hybrid RAG, MCP tool calling, human-in-the-loop approval, planning and CodeAct sandboxes. One streaming API for Claude, GPT, Gemini, Grok, Mistral and DeepSeek — Node, Bun, Deno, serverless and edge.

Human-in-the-loop planning plugin for Claude and Codex: turn ideas into reviewed Markdown plans, record decisions, enforce explicit execution gates, and provide tested controller primitives for safer agent workflows.

Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.

Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions.

Human-in-the-loop planning extension for the Pi coding agent. Turns rough change requests into versioned Markdown plans, stores them in a configurable artifact root, refines them through reviewer/criticizer subagents, and gates implementation behind tracked execution and explicit approval.