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LoopX is a local-first control plane for long-running coding agents. It keeps goals, todos, claims, gates, quota and evidence in durable state outside any chat session, so work carries on across restarts, changes of owner and swaps of agent runtime. Agents are woken on a recurring heartbeat, and each turn is gated by quota and authority before one bounded segment of work runs. A completion claim is accepted only after an independent validator checks the real outcome.
The main features of loopx-project/loopx are: Agent Safety and Verified Completion, Peer Claim and Lease Authority, Cross-Session Goal Continuity, Cross-Host Goal Continuity, Goal and Todo Tracking for Agents, Host-Driven Goal Loops, Command-Based Outcome Validation, Peer Ownership Leases.
Projects with overlapping indexed features include: totec448-spec/chat-on-steroids — Chat on Steroids is a desktop companion app that connects ChatGPT to the user's own machine through local Model… lintsinghua/claude-code-book — This repository is a long-form technical book about how a production AI coding agent runtime, often called an agent… rlaope/oh-my-hermes — Oh My Hermes (Hermes Orchestrator) is a workflow layer that sits on top of the Hermes agent runtime. It routes… yetone/cumora — Cumora is a cross-platform team chat where AI agents join humans as teammates in shared rooms, direct messages, and… macro-inc/macro — Macro is a unified team workspace that brings email, chat, documents, tasks, calls, and customer records into one… entireio/cli — This project is a Git-based AI session tracker and context manager designed to record AI agent interactions,…
Chat on Steroids is a desktop companion app that connects ChatGPT to the user's own machine through local Model Context Protocol servers. It lets the chat read, search and patch files in a real project, run tests, keep terminals open, and observe or control the desktop, with a companion Chrome extension that drives real browser tabs in the background without changing the user's selected tab or foreground window. Access is split across separate Core, Desktop and Plugins connections, each authorized independently. What sets it apart is the permission layer around that access. File access is res
This repository is a long-form technical book about how a production AI coding agent runtime, often called an agent harness, is built. It dissects a real-world coding agent's architecture chapter by chapter and turns it into transferable lessons, and it also works as a step-by-step guide to designing and building your own harness around a language model. Python scripts in the repository support the book itself rather than the agent. The book's core subject is the machinery around the model: a streaming conversation loop that repeats tool calls until the model returns plain text, a tool protoc
Oh My Hermes (Hermes Orchestrator) is a workflow layer that sits on top of the Hermes agent runtime. It routes requests to staged skills, external coding executors, and verification gates, through chat or a terminal interface. Completion is evidence-gated: every status carries a stage and confidence, and work is marked verified only after tests, reviews, or CI checks have actually passed. It is also distributed as a catalog of installable workflow skills and plugin hooks, for Hermes and other coding-agent hosts. Its main focus is multi-agent coding delegation. Scoped tasks are handed to codin
Macro is a unified team workspace that brings email, chat, documents, tasks, calls, and customer records into one place. Items are connected by mentions that create two-way links, so any email, document, task, or contact can be traced back to the conversations and work tied to it. Autonomous AI agents run inside the workspace and draw on a shared team memory that is refreshed each night from email, messages, tasks, documents, and calls. Agents can be started by assigning them work through direct messages, mentions, or routines, or automatically when configured triggers fire. They run in sandb