Search Results for "ai code editor"
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Showing 9 open source projects for "ai code editor"
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LLMStack
No-code multi-agent framework to build LLM Agents, workflows
LLMStack is a no-code platform for building generative AI agents, workflows and chatbots, connecting them to your data and business processes. Build tailor-made generative AI agents, applications and chatbots that cater to your unique needs by chaining multiple LLMs. Seamlessly integrate your own data, internal tools and GPT-powered models without any coding experience using LLMStack's no-code builder. -
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PraisonAI
PraisonAI application combines AutoGen and CrewAI or similar framework
PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration. Chat with your ENTIRE Codebase. Praison AI, leveraging both AutoGen and CrewAI or any other agent framework, represents a low-code, centralized framework designed to simplify the creation and orchestration of multi-agent systems for various LLM applications, emphasizing ease of use, customization, and human-agent interaction. -
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Agent Orchestrator
Agentic orchestrator for parallel coding agents
...It supports a wide range of agents, runtimes, and tools, making it flexible and framework-agnostic. Through a centralized dashboard, developers can monitor progress, review outputs, and intervene only when human judgment is required. Agent Orchestrator transforms AI-assisted development into a scalable, autonomous system for continuous code improvement. -
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uAgents
A fast and lightweight framework for creating decentralized agents
uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python. With simple and expressive decorators, you can have an agent that performs various tasks on a schedule or takes action on various events. -
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Orkas
Open-source local-first desktop AI workforce coordinated through chat.
Orkas is an open-source, local-first desktop AI workforce. A Commander turns goals into executable plans and coordinates specialist agents in parallel or sequence through one chat. Orkas can coordinate built-in agents and external local agents such as Claude Code, Codex, OpenClaw, OpenCode, Hermes, and other supported runtimes. Conversations, files, agent configuration, and model keys stay local; the open-source edition uses user-selected providers or compatible local model endpoints. -
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DevOpsGPT
Multi agent system for AI-driven software development
...By accurately understanding user requirements, DevOpsGPT minimizes the risk of communication errors and misunderstandings, enhancing collaboration efficiency between development and business teams. DevOpsGPT generates code and performs validation, ensuring the quality and reliability of the delivered software. -
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Jason (AgentSpeak) implementation for Robocup Rescue, including launcher, TCP/UDP connection and agents for FireBrigade, FireStation, AmbulanceTeam, AmbulanceCenter, PoliceForce and PoliceStation.
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Multi-agent system that helps to create fail-safe distributed storage in SOHO LAN. Source code has been published to GitHub: https://github.com/savermyas/JSaverStorage
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Using agent technology JAMAS (Java Awareness Multi-Agent System) tries to assist distributed programmers in coordinating parallel development of Java code. E-JAMAS implements JAMAS and it’s features as a plug-in for the Eclipse platform.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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