archestra
★ 4.4k
vs
llmkit
★ 15
archestra vs llmkit
archestra: Archestra is a secure, MCP-native AI platform that simplifies enterprise AI adoption. It provides comprehensive tools for AI orchestration, security against prompt injections and data exfiltration, cost management, and observability across the organization.; llmkit: LLMKit is an open-source AI gateway and SDK suite designed to measure the costs of your AI agents and prevent requests from exceeding predefined budgets. It provides cost attribution, budget admission, and request evidence, ensuring efficient and controlled AI expenditure.
01
TL;DR
archestraObservability · ★ 4.4k
When to choose:
- You are a platform or security team that needs central control over how the company uses models and MCP servers.
- You want one platform covering an internal chat, an LLM gateway, an MCP gateway and registry, and an agent runtime.
- You need SSO, RBAC, sandboxed code execution, guardrails, per-user tool authorisation, OpenTelemetry and Prometheus.
When to skip:
- You are a small team that only needs a proxy: Kubernetes-oriented components make this a significant deployment.
- You need to avoid AGPL or commercial terms: the default code is AGPL-3.0 and parts marked Enterprise are under a commercial licence.
- You already run gateways or chat apps whose roles overlap; plan what it would replace.
llmkitObservability · ★ 15
Local cost monitoring for existing Python/TypeScript AI SDK calls
02
Side-by-Side Comparison
Field
archestrallmkitCategory
Observability
Observability
Stars
★ 4.4k
★ 15
License
AGPL-3.0 (enterprise parts under a commercial license)
MIT
Install Command
docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000 -e ARCHESTRA_QUICKSTART=true -v /var/run/docker.sock:/var/run/docker.sock -v archestra-postgres-data:/var/lib/postgresql/data -v archestra-app-data:/app/data archestra/platform;
pip install llmkit-sdk
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Platform, AI Security, Kubernetes
AI Gateway, Cost Management, Budget Control
03
Features
archestra01Secure, MCP-native AI Platform for simplified enterprise AI usage.
02Private MCP registry with governance and ChatGPT-like chat capabilities.
03Kubernetes-native orchestration for managing AI servers and credentials.
04Advanced security features to prevent prompt injections and data exfiltration.
05Comprehensive cost monitoring, dynamic optimization, and observability tools.
llmkit01Cost Attribution and Estimation
02Budget Admission and Enforcement
03Request Evidence and Analytics
04Multi-Language SDK and CLI Support
04
Use Cases
archestra↳Centralized orchestration and secure management of AI models and data for platform teams.
↳Secure deployment and development of AI agents across the organization for developers.
↳Facilitating organization-wide AI adoption, cost reduction, and usage visibility for management.
llmkit↳Local cost monitoring for existing Python/TypeScript AI SDK calls
↳Zero-code CLI tracking for quick cost summaries
↳Managing shared budgets and provider routing for multiple AI applications
↳Inspecting session data within MCP clients for cost and budget insights
05
Best For
archestraEssentialTrending
llmkit—
FAQ
FAQ
What is the difference between archestra and llmkit?
Both archestra and llmkit are in the Observability category. archestra has 4.4k stars, while llmkit has 15 stars.
Which is better, archestra or llmkit?
The best choice depends on your use case. Choose archestra if Centralized orchestration and secure management of AI models and data for platform teams., and llmkit if Local cost monitoring for existing Python/TypeScript AI SDK calls.
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is llmkit free or open source?
Yes, llmkit is open source on GitHub (MIT).
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