Awesome AI Agents › AI Agent Orchestration

archestra-ai/archestra

⭐ 4436 TypeScript added to this list on 2026-01-31 repository created 2025-07-15

Archestra is a secure AI platform designed for enterprise use, focusing on managing and orchestrating multiple AI agents (MCPs) within an organization. It provides a centralized, secure environment to simplify AI adoption across companies by offering a user-friendly MCP toolbox, observability, and control features built on a strong security foundation. The platform addresses challenges faced by platform teams, developers, and management by mitigating MCP chaos, centralizing MCP servers, managing data and credential access, reducing AI costs, and enhancing AI observability. Key features include a Kubernetes-native MCP orchestrator for managing MCP servers, a private MCP registry with governance for sharing MCPs within teams, and security sub-agents that isolate potentially dangerous tool responses to prevent prompt injections. The platform also implements non-probabilistic security measures to prevent data exfiltration risks, a critical concern given the vulnerabilities of AI models to prompt injection attacks. This security approach is demonstrated through live demos and is supported by extensive documentation and community resources. Archestra offers cost monitoring, limits, and dynamic optimization to reduce AI usage costs by up to 96% through automatic switching to cheaper models for simpler tasks. Observability features provide detailed metrics, traces, and logs to monitor token and tool usage and performance across organizations, teams, and agents. The platform is production-ready, with performance benchmarks, Terraform provider support, and Helm charts for deployment. The project encourages community contributions and provides comprehensive guides for getting started, development, security, and bug bounty programs. It is actively maintained with regular commits and a growing contributor base. Archestra is positioned as a robust solution for enterprises seeking to securely and efficiently manage AI agent deployments and usage at scale.

https://github.com/archestra-ai/archestra

a2aa2a-mcpacpagentaiai-agent-managementai-cost-monitoringai-cost-optimizationai-data-securityai-deploymentai-governanceai-monitoringai-observabilityai-platformai-prompt-injectionai-securityai-security-sub-agentschatgptchatgpt-apiclaudedata-exfiltration-preventiondeepseekdynamic-optimizationenterprise-aigeminik8skubernetesmcpmcp-clientmcp-hostmcp-orchestrationmcp-servermcp-serversmcp-toolsopenaiprivate-mcp-registryprompt-injection-preventionruntimesecure-ai-platform