Build Reliable AI Agents with Simple YAML
Liman is a declarative, language-agnostic framework for building AI agents using YAML manifests.
Built for AgentOps at Scale
From OpenAPI integration to distributed execution, Liman provides everything needed to build, deploy, and operate production AI agents across multiple languages and environments.
OpenAPI → Tools Generation
Automatically generate LLM tools from OpenAPI specifications. Transform any API into agent tools without writing MCP servers.
Service Account Authorization
Built-in authorization with service accounts. State isolation, credential provisioning, and minimal permissions with least privilege principles.
Dynamic Prompt Localization
Multi-language support with automatic system prompt generation. Increase function calling accuracy across languages.
OTel & FinOps Out-of-Box
Built-in OpenTelemetry integration with cost tracking. Monitor performance, token usage, and financial metrics automatically.
Condition Expression Language
Custom DSL for intelligent flow control between nodes. Express complex routing decisions declaratively without repetitive conditional logic.
Distributed Edges
Connect nodes via MCP, A2A, HTTP, WebSocket, or shared memory. Build distributed agents across AWS Lambda and processes.
Plugin Ecosystem
Extensible plugin system with built-in and custom plugins. Auto-context stitching, evaluation agents, and anomaly detection.
Kustomize Overlays
Layer configurations using Kustomize-like overlays. Perfect for multi-environment deployments and language variants.
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