langchain-ai/langchain
LangChain is a versatile framework for building and deploying applications powered by large language models, offering interoperability, real-time data integration, and advanced agent orchestration capabilities.
Awesome AI Agents › Language Agent Frameworks
Kong/volcano-sdk
Volcano Agent SDK is a TypeScript library for composing AI agents that alternate between LLM reasoning steps and calls to Model Context Protocol tools. An agent is built as a chain of steps, each carrying a prompt and a set of MCP endpoints; the model decides on its own which tools to invoke, so no manual routing table is needed. Beyond linear chains the SDK supports parallel execution, conditional branching, loops and sub-agent composition, and it offers multi-agent crews where named specialist agents are registered with descriptions and a coordinator delegates work to them autonomously. Model providers are interchangeable per step or globally, with adapters for OpenAI, Anthropic, Mistral, Llama, Amazon Bedrock, Google Vertex and Azure, so a single workflow can mix vendors. Results are queryable in natural language through summary and ask helpers instead of parsing raw JSON, and token streaming is supported for chat interfaces and server-sent event endpoints. Operational concerns are built in: retries, timeouts, connection pooling and typed errors, plus OpenTelemetry traces and metrics that export to Jaeger, Prometheus, Datadog or any OTLP backend. The package installs from npm as one dependency that already bundles MCP support and the common provider clients. Typing is strict throughout, so tool and step definitions are checked at compile time. The project is maintained by Kong under the Apache 2.0 license, with continuous integration in the repository and full documentation on a separate site. It is aimed at TypeScript teams that already run MCP servers and want an agent layer with production controls rather than a prototype loop.
https://github.com/Kong/volcano-sdk
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