Projects sharing features with Kode CLI

Kimi is a terminal-based AI agent that autonomously plans and executes software development tasks by reading, editing, and running code. It operates as an intelligent command-line agent that breaks down high-level goals into sequences of shell commands and code edits, carrying them out without manual step-by-step guidance. The agent can run in an interactive loop, switch to a shell mode for direct terminal command execution, and operate in non-interactive or one-shot modes suitable for scripting. The project distinguishes itself through multiple integration and execution modes. It can run as

Refact is an autonomous AI software engineering system and code assistant. It functions as an agent orchestrator capable of planning, executing, and managing multi-step development workflows to complete complex software tasks independently. The system distinguishes itself through agentic state management, using isolated worktrees and versioned checkpoints to allow autonomous agents to experiment with code changes and roll back to stable states if tasks fail. It further extends its capabilities via the Model Context Protocol, connecting the AI engine to external databases, version control syst

This repository contains the comprehensive documentation for a code editor focused on AI-assisted software development and remote development workflows. It covers the implementation of AI agents and language models used for autonomous code generation, large-scale refactoring, and task iteration. The project is distinguished by its deep integration of autonomous AI agents capable of web navigation, application logic validation, and orchestrating multi-step development processes. It provides specialized frameworks for tailoring AI behavior through custom instructions, model context protocols, a

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

Kiro is an AI-powered development tool and multi-agent workflow orchestrator. It functions as a context-aware code generator and coding assistant that transforms natural language requirements into structured implementation plans and production-grade code. The system distinguishes itself through multi-agent task decomposition, where complex requirements are broken into sequenced tasks and assigned to specialized agents. It features multi-model orchestration to select specific language models based on reasoning complexity, cost, and latency, and includes a headless command-line interface for id

Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and orchestrating complex language model workflows. It serves as a multi-agent orchestration engine and workflow orchestrator, providing a graph-based execution model to route data between models, tools, and retrievers. The framework distinguishes itself through a robust set of multi-agent coordination patterns, including supervisor-led management, sequential flows, and autonomous reasoning loops like ReAct. It features advanced agent execution controls such as active turn preemption, che

CopilotForXcode is an AI source editor extension for the Xcode development environment. It provides a suite of tools including a conversational chat interface, a code completion tool, and a natural language refactorer to assist with Apple platform development. The project differentiates itself by integrating project context and compiler errors directly into its AI interactions. It supports custom prompt execution using template variables and enables the triggering of shell scripts and system shortcuts directly from the chat interface to automate development tasks. The system manages AI integ

This project provides a comprehensive guide and framework for implementing autonomous AI coding assistants within local development environments. It focuses on orchestrating multi-agent teams that can plan, execute, and verify complex software engineering tasks, such as refactoring, bug resolution, and test generation, while maintaining deep awareness of project-specific context and memory. The system distinguishes itself through a robust security-first architecture that enforces granular access controls, execution isolation, and mandatory human-in-the-loop approvals for all file modification

OpenClawChineseTranslation is a framework for building conversational assistants that functions as a cross-platform chat gateway. It synchronizes conversational data between multiple external messaging applications and a centralized core, allowing users to interact with an assistant across different platforms. The system utilizes a plugin-based extension architecture to integrate external services such as note-taking and password managers. It features a model-agnostic provider interface, which enables the underlying intelligence to be swapped by selecting different large language model provid

Rivet is a visual LLM workflow designer and AI agent orchestration engine. It serves as a development environment for building retrieval augmented generation pipelines and a TypeScript library for embedding visual AI graphs and prompt logic into JavaScript applications. The system differentiates itself through a node-based editor that maps data flow between language models, vector databases, and external APIs. It provides specialized tools for prompt engineering, including interfaces for iterative prompt refinement and A/B testing to improve model response quality. The platform covers a broa

Fusuma is a gesture recognition daemon and multitouch input mapper for Linux systems. It operates as a background service that monitors raw input devices and translates trackpad swipes, pinches, and rotations into user-defined shell commands and keyboard shortcuts. The system utilizes a modular input framework that allows for device-specific filtering to ensure gestures are only processed from designated touchpads. It features a plugin architecture that enables the integration of external modules for custom gesture configurations and keyboard event emulation. The software covers input automa

Azkaban is a distributed workflow manager and DAG-based job orchestrator designed as an enterprise batch processor. It serves as a Java-based workflow engine that schedules and executes complex job sequences across a cluster of executor servers, with specific functionality for managing big data workloads on Hadoop clusters. The system distinguishes itself through a distributed executor model that coordinates state via a shared database to ensure high availability. It employs a plugin-based architecture that allows for custom job types and system functionality extensions, including the ability

This project is a framework for integrating Large Language Models into the Feishu messaging platform to create automated assistants. It functions as a self-hosted AI assistant and a chatbot gateway that routes messages between chat platforms and remote AI cloud providers. The system features a multi-channel messaging bridge and provider-agnostic model routing, allowing for orchestration between different AI models with automatic failover management. It includes a browser automation agent capable of programmatically controlling web browsers and capturing page snapshots to extend the assistant'

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 project is a container-native runtime designed for building, orchestrating, and executing autonomous AI agents. It provides a framework for managing multi-agent teams and complex workflows by packaging agent configurations as portable container images. By leveraging declarative configuration files, the system allows users to define agent personas, model routing, and tool access without requiring changes to application code. The platform distinguishes itself through its deep integration with container infrastructure, ensuring that agent tasks and external tools run within isolated environ

Sbt is a JVM build tool and dependency management system designed for Scala and Java. It functions as a multi-project build orchestrator that manages the compilation of source code, resolves external libraries from remote repositories, and packages binaries for distribution. The project is distinguished by its interactive build system, which provides a read-eval-print loop for real-time state inspection and task execution. It utilizes a dependency-graph based execution model to process tasks and maintains a type-safe key-value store for dynamic build configuration. Its capabilities cover JVM

OpenSquilla is an LLM agent orchestration framework designed to coordinate multi-step AI workflows and tool execution using directed acyclic graphs. It functions as a centralized system for managing specialized skill packages and executing complex reasoning sequences. The project distinguishes itself through a routing gateway that directs tasks to different AI providers based on complexity, cost, and performance. It utilizes a multi-tier AI memory system that organizes working, episodic, and semantic knowledge using local embeddings and SQLite, alongside a secure execution sandbox that isolat

This project is an AI-powered IDE extension and LLM coding assistant that provides a conversational interface for generating, refactoring, and debugging code. It functions as an AI agent framework and a Model Context Protocol client, connecting AI models to external data sources and tools to automate complex development tasks. The system is distinguished by its use of autonomous AI agents capable of multi-step task execution, including the ability to read files, modify code, and run terminal commands iteratively. It supports recursive agent orchestration through subagent delegation and employ

This project is a serverless framework for deploying Telegram bots that interface with large language models and AI image generators. It functions as an edge-based orchestrator and gateway that routes messages between the Telegram API and various AI service providers using a stateless architecture. The system enables the management of multiple bot instances and allows for the dynamic switching of AI models and system prompts within a single chat interface. It distinguishes itself through a modular plugin system that allows for the injection of custom logic and specialized behaviors into the m

cmux is a GPU-accelerated terminal emulator and workspace manager designed for coordinating multiple concurrent AI coding agents. It functions as an orchestration terminal that uses scriptable workspaces and split panes to manage parallel AI agent workflows, while also serving as a headless browser automation tool and a remote development relay. The project differentiates itself through a programmatic control plane using a Unix domain socket and CLI, allowing for the automated management of terminal layouts and input delivery. It features an integrated web engine for programmatic DOM manipula

Potpie is an LLM codebase analysis platform and multi-agent orchestration framework designed to act as an AI software engineer. It parses repositories into a structured code knowledge graph, enabling AI agents to perform multi-hop reasoning, dependency tracing, and grounded technical analysis across large codebases. The system distinguishes itself through a spec-driven development framework where agents generate detailed technical specifications and architecture plans before implementing multi-file code changes. It utilizes a durable execution engine to coordinate specialized AI personas for

dsh-context is a plugin for the DeepSeek Harness that shows what fills an AI agent's context window and how that context changes across sessions and turns. It breaks each request into categories such as system prompt, tool schemas, messages, reasoning, tool results, and attachments, with token counts and percentages. Any live or saved request can be expanded down to its actual content and compared with the previous turn. Beyond the context view, the plugin traces how context grows, shrinks, and shifts over a session. It logs injections, compactions, pruning, model switches, and plan-mode togg

Rushstack is a comprehensive toolset for managing large-scale TypeScript monorepos, providing a framework for build pipeline automation, dependency coordination, and static analysis. It functions as an incremental build orchestrator and management system designed to maintain consistency and performance across multiple packages in a shared workspace. The system distinguishes itself through an execution model based on directed acyclic graphs and content-hash-based incrementalism, which ensures only affected projects are rebuilt. It further optimizes development workflows via remote build artifa

Rakazo is a self-hosted, open-source platform of persistent AI bots. Each bot keeps its own conversations, memory, scheduled routines, and history, and can hand work to peer bots or short-lived helper agents. Bots get isolated shared or private computers with a browser, terminal, files, and a graphical desktop, and users can watch a bot's screen and take control of it when needed. The same bots are reachable from web, desktop, and mobile apps, and from messaging channels such as iMessage, Slack, Telegram, and WhatsApp. The model and the computer are both your choice. You can connect your own

Suna is an orchestration platform designed for the deployment, management, and governance of autonomous AI agents. It provides a centralized system for defining agent behaviors and tool integrations, enabling the automation of complex business processes through a unified interface. The platform distinguishes itself by applying infrastructure-as-code principles to AI, utilizing version-controlled repositories to manage agent configurations, skills, and guardrails. It ensures secure and predictable operations by spawning ephemeral, isolated virtual machines for every individual task, preventing

Humanlayer is an LLM coding agent orchestrator and AI-driven workflow manager designed to coordinate multiple agents in researching, designing, and implementing features across complex codebases. It provides a multi-agent development workspace that groups AI sessions, versioned design artifacts, and worktrees into collaborative team tasks. The system features a bring-your-own-key LLM gateway to connect external AI model subscriptions and API keys. It utilizes remote AI agent daemons to run long-term coding sessions on cloud infrastructure, maintaining progress independently of the user's acti

Agent-skills is a collection of structured instructions and behavioral personas designed to standardize how AI coding agents perform engineering tasks. It functions as a workflow orchestrator that maps natural language intent to repeatable technical sequences and verification checklists. The project distinguishes itself through the use of specialized markdown-defined roles, such as security auditors or test engineers, to apply targeted domain expertise. It employs an evidence-based verification model that requires runtime data or passing tests as mandatory exit criteria to ensure AI-generated