The best way to get AI coding agents to solve hard problems in complex codebases.
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Updated
Oct 15, 2026 - TypeScript
The best way to get AI coding agents to solve hard problems in complex codebases.
Multi-Agent Harness for Production AI
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.
🌊 A Human-in-the-Loop workflow for creating HD images from text
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.
Open-source email infrastructure for AI agents: secure inboxes, REST and MCP APIs, SMTP, human approval workflows, signed webhooks, and Python and TypeScript SDKs. Self-host with Docker and PostgreSQL.
Plan, build and review software with your coding agents. Work side by side in the App or browser, or use your favourite terminal or IDE.
For EHRs, payer portals, and any app your team clicks through. A person or an agent shows the task; OpenAdapt turns it into a local program that repeats the steps with no model calls, checks each save, and stops when something doesn't match.
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.
Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.
Govern, Observe, Direct - a real-time control room for agent societies
Temporary rooms for Humans and AI Agents — run, supervise and steer Agent Tasks without a permanent workspace.
Open-source MCP server for comparing products and asking the buyer before purchase.
AuditPilot: auditable enterprise AI agents for evidence-grounded workflows, governed tools, evaluation harnesses, human review, and remediation delivery.
Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions.
Everything you need about Active Learning (AL).
AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
To associate your repository with the human-in-the-loop topic, visit your repo's landing page and select "manage topics."