Projects sharing features with Tempest

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

Codegraph is a local codebase indexer and static analysis graph database that serves as a context provider for AI agents. It parses multiple programming languages into a searchable knowledge graph of symbols and dependencies, exposing these relationships to AI tools through the Model Context Protocol. The project distinguishes itself by aggregating relevant code snippets and symbol flows to reduce token usage for large language models. It automates the configuration of server settings and steering instructions across various AI agent platforms and command line editors to enable automatic code

XAgent is an autonomous agent system that decomposes complex goals into sequential subtasks for execution via a planner and actor model. It functions as a collaboration framework that integrates human-in-the-loop workflows, allowing users to provide real-time guidance and missing information during the automation process. The system features a containerized tool sandbox to isolate the execution of shells and browsers, ensuring system safety and consistency. It includes a state-based execution recorder that captures snapshots of agent runs to enable the exact reproduction of specific task sequ

Magic is an all-in-one productivity environment and agent platform designed for deploying, orchestrating, and managing multi-agent workflows. It functions as a coordination system that dispatches complex tasks to specialized agents, serving as both a workflow engine and a knowledge management system that synthesizes information from PDFs, websites, and databases into structured digital assets. The platform distinguishes itself through a multimodal content suite capable of generating professional business deliverables, including high-fidelity graphic assets, technical diagrams, and presentatio

my-git is a comprehensive framework and reference guide for Git version control administration, repository governance, and software release management. It provides a structured approach to managing the software development lifecycle, from initial feature branching to final production deployment. The project distinguishes itself through a specialized AI-assisted development framework. This includes workflows for managing AI-generated code via automated diff reviews, intent-based commit splitting, and governance models for multi-agent coordination and session isolation using worktrees. The cod

Claudable is an AI-driven integrated development environment and full-stack application builder. It functions as a code generation platform that transforms text descriptions into functional source code and user interface components using large language models and command-line artificial intelligence agents. The system integrates a cloud deployment pipeline that synchronizes local changes with remote repositories and publishes applications to live hosting environments. It further distinguishes itself by combining these automation workflows with a single interface for managing the entire develo

Hermes-webui is a self-hosted AI orchestrator and web interface for managing autonomous agents. It serves as a multi-provider gateway that connects cloud and local large language models, providing a central hub to execute scheduled background jobs, run shell commands, and manage agent memory on private hardware. The system distinguishes itself through a persistent memory manager that utilizes knowledge graphs and markdown files for long-term context across sessions. It features a model context protocol host for extending agent capabilities with standardized tools and supports the orchestratio

Neo4j is a native graph database management system designed to store and query highly connected data using a property-graph model. It provides an ACID-compliant transaction engine that ensures data integrity, supported by a distributed cluster architecture that maintains causal consistency across nodes. Users interact with the system through a declarative query language, which allows for complex pattern matching and path traversal without requiring manual traversal logic. The platform distinguishes itself through its hybrid approach to data retrieval, combining traditional graph-based queries

AgentMemory is a persistent knowledge store and memory server designed to provide AI coding agents with long-term memory. It functions as a knowledge graph engine and vector database store that saves and recalls project context, architectural decisions, and patterns across different sessions. The system distinguishes itself by using a tiered-memory consolidation pipeline that compresses raw observations into episodic, semantic, and procedural layers to optimize token usage. It employs a hybrid retrieval strategy combining keyword matching, vector embeddings, and graph traversal to surface rel

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

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

This project is an autonomous workflow engine and orchestration platform designed to coordinate specialized AI agents. It functions as a development framework that manages the end-to-end lifecycle of complex, multi-step tasks, including persona definition, persistent memory management, and the execution of automated coding workflows. By acting as a Model Context Protocol server, it enables standardized communication between development tools and external AI models. The platform distinguishes itself through an event-driven architecture that routes typed messages between agent personas, allowin

TabNine is an AI-powered code completion engine that runs a deep-learning model to generate real-time code suggestions across all programming languages. It operates as an editor plugin that communicates with a backend through a JSON message-passing interface, processing code entirely on the local machine or within a private cloud to keep source code secure and private. The system provides a completion request API that accepts cursor context and returns ranked text completions, with features for configuring completion regions, prefetching files for indexing, and managing binary versions and up

Agentscope is a comprehensive toolkit for developing and orchestrating autonomous multi-agent systems. It provides a unified framework for building agents that can reason, execute tools, and manage memory, enabling the creation of complex, collaborative workflows where multiple specialized agents interact to solve multi-step objectives. The platform distinguishes itself through a robust orchestration engine that supports both sequential and concurrent agent pipelines. It utilizes a centralized event bus for real-time telemetry, allowing developers to track agent reasoning, tool usage, and sys

gptme is an autonomous AI agent server and framework designed for local system automation, software development, and code execution. It operates as a local execution engine that enables language models to run shell commands, modify local files, and interact with the operating system. The project functions as a Model Context Protocol client, integrating with external servers to expand agent capabilities with standardized tools and data sources. It features a provider-agnostic routing system to orchestrate tasks across multiple proprietary cloud APIs and local AI backends. The system includes

This tool functions as a generator that maps dynamic framework methods and database model properties to static files, ensuring integrated development environments recognize runtime features. It acts as a static analysis helper by inspecting framework structures to provide accurate type hinting and autocompletion for core classes and container-bound objects. The project distinguishes itself by its ability to interrogate the dependency injection registry and scan runtime method registrations to document dynamically added functionality. It further differentiates by performing reflection-based in

PilotDeck is an LLM agent orchestration platform and agentic workflow manager designed to build and manage task-oriented AI agents. It serves as a multi-model router and an MCP server integration hub, connecting language models to external tools and data sources via the Model Context Protocol. The platform distinguishes itself through a transparent AI memory management system that allows users to view, edit, and delete memory entries to correct hallucinations. It implements a routing layer that directs tasks to the most suitable model based on complexity and performance requirements, supporti

This project is a browser-based developer toolkit that provides a collection of offline-first utilities for common data transformations and encoding tasks. It functions as a static web application, bundling multiple independent productivity tools into a single-page interface designed for rapid technical task execution. The suite operates entirely on the client side, ensuring that all data processing occurs locally within the user browser without requiring a backend server or external service dependencies. This architecture prioritizes privacy and security by keeping sensitive information off

This project is a community-driven knowledge base that serves as a comprehensive guide for mastering version control operations and platform-specific workflows. It functions as a developer productivity resource, consolidating essential information on command-line operations, repository management, and advanced interface techniques into a single, version-controlled document. The guide distinguishes itself by providing actionable insights into platform-specific automation and navigation. It covers the use of keyboard shortcuts to accelerate daily tasks, the application of advanced search syntax

PraisonAI is an autonomous AI agent platform that coordinates multiple LLM-powered agents for research, planning, and execution of complex workflows. It functions as a multi-agent orchestration framework, a workflow builder, and a Model Context Protocol server, while also providing retrieval-augmented generation through vector knowledge bases. Agents can interact via CLI, web, or standardized protocols with sandboxed code execution. The platform distinguishes itself with a rich set of agent communication protocols, including A2A, REST, WebSocket, voice and telephony integration, and MCP, allo

Agent-OS is an LLM multi-agent orchestration framework and AI software development lifecycle tool designed to coordinate specialized agents through shared workspaces and structured task lists. It functions as an agentic application bootstrapper and technical specification engine, providing the infrastructure to guide the process from product requirements to automated coding and deployment. The system distinguishes itself through spec-driven development, using detailed technical specifications and layered context injection to ensure generated code aligns with project standards. It employs a ma

This project provides secure, containerized infrastructure designed for autonomous agents, remote code execution, and cloud development. It functions as a sandboxed environment where AI agents and external processes can execute code, run shell commands, and manage files while remaining isolated from the host system. The system distinguishes itself by implementing the Model Context Protocol, allowing it to act as a standardized tool server that exposes browser and filesystem capabilities to compatible clients. It further integrates headless browser automation, enabling programmatic web navigat

ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

The agent-framework is an LLM agent orchestration framework and multi-agent workflow engine designed for building autonomous AI agents. It provides a tool integration layer for binding external functions, APIs, and sandboxed code as executable tools for language models. The framework distinguishes itself through a graph-based system for designing sequential and parallel task flows, featuring state management and checkpointing for long-running processes. It implements comprehensive conversational state management and an observability suite that uses telemetry to trace execution flows and monit

The sandbox-sdk is a development kit designed for building secure, isolated execution environments on a global edge network. It provides a framework for creating ephemeral, containerized workspaces that allow developers to run untrusted code, manage build tasks, and host automated scripts without compromising host system security. By leveraging a serverless runtime, the platform enables the deployment of these environments directly at the network edge to ensure low-latency performance. The platform distinguishes itself by integrating language models with sandboxed execution, facilitating the

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

Langroid is a multi-agent orchestration framework and tool integration suite designed for building complex AI applications. It serves as a multi-modal integration layer that connects diverse local and remote language models with an agentic retrieval-augmented generation system. The project distinguishes itself through a collaborative message-exchange paradigm, allowing specialized agents to delegate tasks hierarchically and coordinate via structured communication. It features an advanced state management system for conversational AI, including the ability to rewind and prune conversation hist