The best way to get AI coding agents to solve hard problems in complex codebases.
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Multi-Agent Harness for Production AI
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.
- agent-collaboration
- agent-workforce
- ai-agent
- local-ai
TranslatedA platform for building and running digital employees for enterprises: it solidifies the experience, processes, and judgment standards of professional employees into AI digital employees that can be put to work at any time and are configurable, approvable, and observable.
- ai-agent
- ai-platform
- digital-employee
- enterprise-ai
Nosis is a lightweight personal agent runtime: per-session execution boundaries with OS-level sandboxing, computer use, a full built-in toolset, Skill / Plugin / MCP extensions, one runtime shared by GUI and TUI, and file-persisted sessions, plans, and memory.
- agent-framework
- agent-runtime
- agent-skills
- ai-agent
Local-first policy gateway for coding agents. Allow, review, or block MCP, shell, SQL, GitHub, and HTTP actions with scoped credentials and signed evidence.
- golang
- observability
- opentelemetry
- policy-engine
The open-source safety layer for AI agents — block unsafe tool calls, require approval, enforce budgets, audit, replay.
Inline review tool for MDXG markdown — capture highlighted comments and export them as structured JSON for LLM agents.
- annotations
- feedback
- human-in-the-loop
- inline-comments