AgentGo

Creadores de agentes de IA

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This platform enables efficient development, deployment, and management of AI agents by providing a high-performance, scalable architecture built with the Go programming language, optimized for production environments. Its main features include a lightweight and statically-linked binary for quick startup times, native concurrency handling with goroutines to support thousands of agents simultaneously, extensive observability tools such as built-in metrics, tracing, and structured logging, as well as simple configuration through a single YAML file per agent to streamline management and deployment. It solves common issues like slow startup times, dependency bloat, limited concurrency, and lack of integrated monitoring, making it ideal for organizations, developers, and AI teams seeking reliable, efficient, and observable multi-agent systems at scale.

AgentGo se puede encontrar en AI Agent Builders categorías.

Los productos más similares a AgentGo son:

Pristan Perfil verificado Promocionado → Airia →

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Detalles

Características principales de AgentGo

• Compose teams
  You can group multiple agents to work together as a team.
• Request Access
  You can ask to join a private group or get more access details.
• 4 LLM Providers
  Supports four large language model services like OpenAI and Anthropic.
• Stream responses
  Agents can send their answers continuously as they work.
• 100+ Capabilities
  Agents can do over 100 different tasks or functions.
• 120K RPM Capacity
  It can handle up to 120,000 requests per minute.
• Platform features
  Provides all tools needed to build, run, and manage many AI agents together.
• ~30MB Binary Size
  The program is small, about 30MB, for easy deployment.
• Ship a single binary
  Deployment is easy with one simple executable file.
• Define agents in YAML
  You can create and customize agents using simple YAML files.
• Single YAML per agent
  One file defines all settings for each agent, easy to modify and reload.
• Solve real pain points
  Designed to fix common problems when running AI agents in real life.
• Built-in metrics and logs
  Includes pre-made tools to monitor, log, and track costs easily.
• Native goroutine scheduler
  Uses Go’s goroutines to handle many agents at once efficiently.
• Built with Go for Production
  AgentGo is built in Go, making it fast and suitable for real-world use.
• Fast startup with small size
  Cold start times are less than a second, making it quick to launch.
• Performance and collaboration
  AgentGo offers fast performance and helps agents work together smoothly.
• No interpreter or dependencies
  Runs as a single compiled program without needing extra tools.
• Discover peers via capability cards
  Agents can find and connect with other agents based on their skills.

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Tecnologías utilizadas

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