Projects sharing features with Loopx

Cumora is a cross-platform team chat where AI agents join humans as teammates in shared rooms, direct messages, and group conversations. Agents sit in the same roster as people, show availability states such as working, thinking, or resting, and coordinate with humans through a shared Kanban board, calendar, collaborative documents, and email. The same web codebase ships as a browser app, an Electron desktop app, and Capacitor-wrapped iOS and Android apps. Agents can be hosted in two ways. A self-hosted server stack runs each cloud agent in its own isolated Kubernetes pod with shell, file, br

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

Rack-attack is a middleware rate limiter and request filter for the Rack interface. It provides a system for throttling HTTP requests and maintaining IP address blocklists to protect applications from malicious traffic and denial-of-service attacks. The project enables application layer DDoS mitigation and API rate limit management by identifying and rejecting requests from banned clients or abusive IP addresses. It allows for the definition of safelists to bypass filters and uses custom logic to determine if a client should be blocked or throttled. The tool covers comprehensive traffic mana

KiroCrew is a persistent workspace for AI-assisted development built around an autonomous coding agent. Tasks are planned, carried out, checked against the spec, and retried on failure, with state saved to checkpoints so long-running work can resume after a restart. One shared runtime serves the desktop app, web dashboard, command line, and chat channels such as Slack and Discord, so the same ongoing work is visible from each of them. The agent improves with use: user corrections and task failures are turned into lasting lessons, applied globally or limited to a single repository, and repeate

This project is a software development kit and framework for building AI agent orchestration, session management, and tool integration systems. It provides a backend infrastructure for hosting remote AI sessions and coordinating multi-agent workflows using large language models. The SDK enables the definition of specialized agents and the orchestration of complex tasks through parallel workstreams. It distinguishes itself by offering a multi-tenant backend capable of horizontal scaling and a headless server runtime that separates session execution from the client interface. The system covers

SuperPlane is an open-source, event-driven workflow automation platform that coordinates coding agents, source control, CI, review, and approvals so backlog issues can become review-ready pull requests. Workflows advance by reacting to events from external tools, agents, and people, pausing at each step until the next signal arrives, with humans staying in the loop for the final decision. The delivery pipeline covers planning, agent-driven coding, verification, and review. The platform can evaluate backlog issues to identify which ones coding agents can handle with high confidence, leaving am

Nanoclaw is an LLM agent orchestrator and multi-platform chat gateway designed to deploy and manage isolated AI agents. It provides a containerized runtime that executes agents within sandboxed Linux containers, ensuring filesystem and state isolation through dedicated workspaces and host bind-mounts. The project distinguishes itself through a unified routing pipeline that connects agents to diverse messaging platforms, including WhatsApp, Discord, Slack, Telegram, Signal, and iMessage. It integrates the Model Context Protocol to extend agent capabilities via managed external data and functio

This project is a Rust-based AI agent framework and tool orchestrator that provides a command-line interface for interacting with large language models. It functions as an AI tool orchestrator that routes client requests to language servers and manages the planning and handoffs between specialized agents to solve complex tasks. The system distinguishes itself as a language porting validator, using deterministic mocks and specifications to verify feature parity between different language implementations of a codebase. It further extends agent capabilities by acting as a Model Context Protocol

This library is a declarative React component toolkit for constructing interactive, node-based diagramming interfaces and flow charts. It provides the foundational UI elements required to render draggable nodes and scalable vector graphics paths within a web browser, enabling the creation of complex visual editors and data flow representations. The library distinguishes itself through a strictly stateless architecture that relies on external state management. By utilizing a controlled input pattern and component injection, it decouples diagram logic from data storage, allowing developers to m

This project provides a system for managing agent context and session memory, featuring an agent context compactor, an AI session memory manager, and a tool output sandbox. It functions as a middleware layer and server extension for the Model Context Protocol to optimize context windows and reduce token usage. The system optimizes agent performance by sandboxing tool outputs and externalizing large data sets, replacing raw I/O with pointers and concise summaries. It employs a persistent knowledge base that indexes session history and tool outputs for retrieval via full-text search, ensuring s

This project is a collection of patterns and configurations for deploying AI agents with specialized technical skills and personas. It provides a framework for agentic software engineering, defining standards for AI-driven development workflows and the management of modular technical capabilities. The system features a skill framework that activates technical guidelines based on prompt intent and a context management system that preserves project state using persistent plans and checklists across session resets. It employs a modular organization of guidelines to prevent context window overflo

Stateless is a .NET state machine library used to manage complex object behaviors and lightweight workflows through C# code. It functions as an asynchronous workflow engine that executes state transitions, guards, and entry-exit actions using asynchronous tasks. The library implements a hierarchical state machine, allowing child states to inherit transitions and properties from parent superstates. It includes a state persistence framework that decouples state tracking from machine logic by reading and writing the current state to external properties or databases. Additionally, it features a g

Forgecode is an AI agent orchestrator, shell integration tool, and terminal-based pair programmer. It enables the deployment of specialized AI roles for research, planning, and implementation, while providing a semantic code search tool to index project files for meaning-based retrieval. The system integrates as a Model Context Protocol client to extend AI capabilities via external servers and supports multi-provider model orchestration to switch between different large language model APIs. It transforms natural language into functional shell commands and allows for the execution of AI prompt

This project is a Git-based AI session tracker and context manager designed to record AI agent interactions, transcripts, and tool usage directly into Git repositories. It functions as a system for capturing and indexing the reasoning behind code changes, linking AI prompts and responses to specific code commits to preserve developer intent. The tool distinguishes itself by using Git as a primary storage layer for session metadata, utilizing shadow branches and checkpoints to track agent state without polluting the main commit log. It includes specialized capabilities for auditing AI contribu

oh-my-pi is an agentic workflow automation platform and AI coding agent orchestrator designed for autonomous software engineering. It functions as a multi-model LLM router and an LSP-integrated development environment, coordinating specialized AI agents to perform codebase analysis, automated refactoring, and complex task execution. The system distinguishes itself through the use of subagent coordination to execute parallel tasks within isolated environments and an auto-research framework for iterative experiments. It employs AST-driven structural search for code discovery and content-hash an

gstack is an AI agent framework and development workflow system designed to automate the software development lifecycle. It coordinates specialized AI personas to manage tasks across product design, engineering management, and quality assurance, transforming product intent into technical specifications and final releases. The project is distinguished by its deep integration of headless browser automation and semantic code memory. It utilizes a persistent Chromium daemon for web scraping and visual auditing, and implements a searchable knowledge base that logs architectural decisions and repos

Pi-mono is an autonomous coding agent orchestrator designed to coordinate multiple intelligent agents for complex software development tasks. It functions as a framework that integrates directly with local file systems and terminal environments to automate development workflows. The system distinguishes itself through a stateful session manager that serializes the entire context of a coding interaction to disk, allowing agents to maintain project awareness across separate sessions. It utilizes a plugin architecture for tool registration and prompt-template injection, enabling the integration

Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development tasks. It functions as a comprehensive system for automating coding, testing, and repository management by integrating directly with your codebase and terminal. The platform provides a unified gateway for model orchestration, allowing for the management of agentic workflows, event-driven automation, and persistent session state across distributed development environments. The platform distinguishes itself through its federated task management and policy-based access control, which

Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com

This project is an LLM coding agent orchestrator and AI software engineering platform designed to manage fleets of agents that autonomously solve issues, handle pull requests, and fix CI failures. It functions as an agentic CI/CD automator and parallel workflow manager, coordinating the end-to-end development lifecycle from initial ticket tracking to final code merging. The system is distinguished by its modular plugin framework and isolated worktree management, which allow multiple agents to work on separate coding tasks simultaneously without file system conflicts. It utilizes role-based mo

OpenHands is an autonomous AI software engineer and coding assistant designed to execute software engineering tasks by interacting directly with codebases and development environments. It functions as a platform for running AI agents that can write code and manage files to automate complex development workflows. The system distinguishes itself through a container-based execution environment that isolates agent actions within a sandboxed Linux environment. It employs an autonomous agent loop of observation, planning, and action, supported by a standardized communication protocol that allows it

This project is a TypeScript software development kit designed for building and orchestrating autonomous agents that interact with codebases and system environments. It provides a programmatic interface for constructing agents capable of executing complex workflows, such as automated code refactoring, file system manipulation, and shell command execution, by leveraging large language models. The framework distinguishes itself through a focus on secure, governed agent operations. It includes granular access control systems that allow developers to define specific permissions for tools and exte

ds4 is a local inference engine for DeepSeek models that includes a distributed runtime for splitting transformer layers across networked computers. It functions as a reasoning controller with a local weight streamer and an API server that streams chat completions via industry standard endpoints. The system employs a memory management model that loads model experts from disk on demand to execute models that exceed available system RAM. It provides controls for reasoning effort and model behavior steering, allowing the modification of response characteristics through activation directions. Th

Claude Code is a command-line interface and multi-agent orchestration framework designed for autonomous software engineering. It enables AI agents to perform codebase modifications, debugging, and Git workflow management while coordinating multiple specialized agents to decompose and execute complex engineering tasks in parallel. The system distinguishes itself through a high degree of isolation and safety, utilizing Git worktrees to create independent working directories for concurrent agents and implementing a tiered permission system that combines user rules, project policies, and OS-level

OpenDots is a platform for hosting long-lived AI agents, called dots, that keep running over time instead of living inside a single short chat. Each agent gets its own sandboxed computer with a browser, files, and a terminal that persist across restarts, with permission checks, an action record, and the option for a human to take over. The same AI coworker carries one conversation across written chat, real-time voice calls, and Slack, and a workspace of shared spaces and nested pages sits alongside it. People stay in control of what agents do. The chat interface streams agent activity live, w

MadelineProto is an asynchronous PHP library that provides a programmatic interface for interacting with the Telegram API using the MTProto protocol, the same protocol used by official Telegram clients. It functions as both a Telegram bot SDK and a userbot automation library, enabling PHP applications to connect to Telegram as either a bot account or a regular user account, sending and receiving messages, media, and other data directly without relying on the Bot API intermediary. The library is built on an event-driven architecture with Amp v3 fiber-based concurrency, allowing for non-blockin

DeepSeek-Reasonix is an autonomous software engineering framework and terminal-based AI IDE designed to coordinate large language models for complex programming tasks. It functions as a multi-session agent that utilizes a split planner and executor workflow to break down and implement technical objectives. The system distinguishes itself through a specialized focus on session optimization and extensibility. It employs prefix caching and append-only history to reduce token consumption and latency during long sessions. It further extends its capabilities by integrating external tool servers via