Search Results for "multi agent"
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Showing 28 open source projects for "multi agent"
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Neuro SAN Studio
A playground for neuro-san
Neuro SAN Studio is a development environment and playground for building, testing, and deploying multi-agent AI systems using the Neuro SAN framework. It provides a hands-on interface where users can design agent networks, run experiments, and observe how multiple agents collaborate to solve complex tasks. The platform is built around a data-driven approach, where entire agent systems can be defined using configuration files rather than extensive code, making it accessible to both developers and domain experts. ... -
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OWL
Optimized Workforce Learning for General Multi-Agent Assistance
OWL (Optimized Workforce Learning) is a sophisticated open-source framework built on the CAMEL-AI ecosystem for orchestrating teams of AI agents to collaboratively solve complex, real-world tasks with dynamic planning and automation capabilities. Unlike single-agent systems, it treats task completion as a collaborative workforce where agents take on specialized roles (planning, execution, analysis) and coordinate via a modular multi-agent architecture that supports flexible teamwork across domains. OWL delivers state-of-the-art performance on benchmarks like GAIA and emphasizes real-time decision-making, web automation, rich search integration, document parsing, and multi-tool workflows, making it suitable for tasks ranging from information retrieval to interactive automation. -
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OpenAI Agents JS
A lightweight, powerful framework for multi-agent workflows
...The SDK is provider-agnostic, meaning while it’s deeply compatible with OpenAI’s APIs, you can also adapt it to use other backends or extension layers. At its core, it introduces primitives like Agents, Tools, Guardrails, and Handoffs, letting you define structured multi-agent systems in a modular way. The repo includes examples showing how to build agents that call local functions, chain between agents, validate input/output, stream responses, and interact in real time (e.g. voice agents via WebRTC). It also has tracing and debugging support so you can introspect how agents executed their workflows. ... -
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Make It heavy
A Python framework that emulates Grok Heavy functionality
...The framework uses OpenRouter for model access and can also run in single-agent mode for simpler tasks. Overall, it is useful for users who want broader research coverage, richer reasoning diversity, and structured multi-agent responses from one command-line workflow. -
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BotSharp
AI Multi-Agent Framework in .NET
Conversation as a platform (CaaP) is the future, so it's perfect that we're already offering the whole toolkits to our .NET developers using the BotSharp AI BOT Platform Builder to build a CaaP. It opens up as much learning power as possible for your own robots and precisely control every step of the AI processing pipeline. BotSharp is an open source machine learning framework for AI Bot platform builder. This project involves natural language understanding, computer vision and audio... -
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TradingAgents
Chinese Financial Trading Framework Based on Multi-Agent LLM
TradingAgents-CN is a Chinese-enhanced, multi-agent LLM framework aimed at building financial analysis and trading-oriented workflows, with an emphasis on collaboration between specialized agents rather than a single monolithic prompt. It organizes market-related tasks into roles and stages so different agents can contribute research, reasoning, aggregation, and decision support in a structured pipeline. -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
Trellis is an advanced workflow and agent orchestration framework designed for building, managing, and scaling intelligent applications that coordinate numerous autonomous components. At its core, Trellis lets developers define units of work — called tasks or agents — and compose them into rich workflows that can operate with concurrency, conditional logic, and dynamic branching, all without sacrificing readability or control. -
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Motia
Multi-Language Backend Framework that unifies APIs
Motia is a large-scale, multi-language backend framework designed to unify and simplify core backend concerns — from APIs and background jobs to distributed workflows, streams, and advanced AI agent integration — through a single coherent primitive with built-in observability and state management. It provides a unified development philosophy that seamlessly bridges different backend patterns (queues, event streams, scheduled jobs) while offering integrated tools for telemetry, logging, metrics, and tracing to help teams maintain high visibility into production workloads. ... -
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AI Berkshire
AI-era Berkshire: a value investing research framework
AI Berkshire is an AI-assisted value investing research framework designed for Claude Code and Codex workflows. It turns the investment methods of Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu into structured research agents. The project is meant to improve research depth, decision discipline, and analytical consistency compared with asking a general AI model for a one-off stock opinion. It uses parallel agent analysis, adversarial viewpoints, financial rigor checks, and... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Discovery
Nepxion Discovery is a solution for Spring Cloud
Nepxion Discovery is a solution for Spring Cloud with blue green, gray, route, blacklist, limitation, circuit breaker, degrade, isolation, monitor, tracing, dye, failover, async agent. Only one or more services are upgraded at a time, the upgrade is completed and monitored and observed, and this process is performed continuously until all the old versions in the cluster are upgraded to the new version. In the process of stopping the old version, it is impossible to accurately calculate... -
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Kreuzberg
Polyglot document intelligence framework
Kreuzberg is a flexible task orchestration and agent workflow platform designed to help developers build, coordinate, and scale intelligent agents or automation pipelines that interact with external services, runtime environments, and multi-step business workflows. It emphasizes modular design so that developers can define discrete tasks or “actions” and then compose them into complex flows where dependencies, parallel steps, and error handling are declaratively managed. ... -
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Sensu Go
Simple. Scalable. Multi-cloud monitoring
Sensu is an open source monitoring tool for ephemeral infrastructure and distributed applications. It is an agent-based monitoring system with built-in auto-discovery, making it very well-suited for cloud environments. Sensu uses service checks to monitor service health and collect telemetry data. It also has a number of well-defined APIs for configuration, external data input, and to provide access to Sensu's data. Sensu is extremely extensible and is commonly referred to as "the monitoring... -
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Capistrano
Remote multi-server automation tool
A remote server automation and deployment tool written in Ruby. Capistrano extends the Rake DSL with methods specific to running commands on() servers. Capistrano is written in Ruby, but it can easily be used to deploy any language. If your language or framework has special deployment requirements, Capistrano can easily be extended to support them. Capistrano is bundled as a Ruby Gem. It requires Ruby 2.0 or newer. Capistrano can be installed as a standalone Gem, or bundled into your... -
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Maestro Framework
A framework for Claude Opus to intelligently orchestrate subagents
...It can maintain context between subtasks so later steps can build on earlier work. The project can also generate exchange logs and save them as Markdown for review. Overall, it is useful for experimenting with multi-agent task decomposition, AI-assisted planning, and model orchestration workflows. -
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SILENTTRINITY
An asynchronous, collaborative post-exploitation agent
SILENTTRINITY is a modern post-exploitation framework built around asynchronous, collaborative, and multi-server workflows for authorized security operations. It is powered by Python 3 and .NET’s Dynamic Language Runtime, using the author’s Bring Your Own Interpreter concept to dynamically evaluate tasks through embedded .NET scripting languages. The framework was designed to bring back some of the flexibility associated with PowerShell-style operations without directly relying on... -
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LangChain Apps on Production with Jina
Langchain Apps on Production with Jina & FastAPI
Jina is an open-source framework for building scalable multi-modal AI apps on Production. LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development. And if you prefer, you can also deploy your LangChain apps on your own... -
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SMSBoom
SMS bombing / SMS pressure measurement, a robust and free python
...Friendly command line argument support. Adopt convenient pipenv package management. Call SMS interface through proxy, support http, socks4, socks5 proxy. Use a random User-Agent. The number of bombings and the interval between bombings can be specified. -
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Go-Guerrilla SMTP Daemon
Mini SMTP server written in golang
...It started as a project for GuerrillaMail.com which processes millions of emails every day, and needed a daemon with less bloat & written in a more memory-safe language that can take advantage of modern multi-core architectures. The purpose of this daemon is to grab the email, save it, and disconnect as quickly as possible, essentially performing the services of a Mail Transfer Agent (MTA) without the sending functionality. The software also includes a modular backend implementation, which can extend the email processing functionality to whatever needs you may require. -
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Madara
Middleware for distributed applications
The purpose of the project is to develop a portable programming framework that facilitates distributed and multi-threaded programming for C++, Java, and Python. MADARA was originally developed as an agent-based middleware specifically for real-time, distributed artificial intelligence, but is now more general purpose for distributed timing, control, knowledge and reasoning, and quality-of-service. MADARA is composed of several tools and middleware, and the main entry point into the system is the Knowledge and Reasoning Language (KaRL) Engine, which provides a real-time scripting language for nanosecond execution times hooked into a flexible transport layer for distributed reasoning. ... -
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An efficient Java-based Multi-agent Platform implementing the micro-agent concept µ² offering network support and multiple agent implementation languages. Detailed instructions and documentation can be found under http://www.micro-agents.net. This project has been moved to Github.
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Artificial Life is a free and open sourced Java framework use to simulate Life. It is a multi-agents framework where each agent runs it is own Thread.
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simpA is an agent-oriented framework on top of Java providing a high-level approach to concurrent, multi-core, distributed programming.
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Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.
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JAT is a JUnit-like framework for building and running test scenarios for multi agent systems developed in JADE platform. It relies on the use of aspect-oriented techniques to monitor agents’ interactions and to control the test input.
