Agno vs LangChain: Agent Frameworks Comparison
Compare Agno and LangChain side by side. Both are tools in the Agent Frameworks category.
Updated April 29, 2026
The short answer
Choose Agno if production-first design with stateless scaling and AgentOS runtime.
Choose LangChain if largest ecosystem and community in AI application development.
Want to compare Agno and LangChain on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
Quick Comparison
| Category | Agent Frameworks | Agent Frameworks |
| Pricing | Free open-source | Open Source |
| Best For | Python teams building production AI agents that want first-class deployment, observability, and multi-agent support | Developers building complex LLM applications who need a comprehensive orchestration framework |
| Website | agno.com | langchain.com |
| Key Features |
|
|
| Use Cases |
|
|
Pros & Cons: Agno vs LangChain
- +Production-first design with stateless scaling and AgentOS runtime
- +39K+ GitHub stars and 424 active contributors
- +100+ pre-built tools including MCP support
- +Control plane UI is rare in OSS agent frameworks
- +Memory in your DB — no vendor lock-in
- −Newer than LangChain ecosystem — fewer third-party integrations
- −Python-only — no JS/TS SDK
- −Smaller community than LangChain at production scale
- −Less battle-tested at Fortune 500 scale than LangGraph
- +Largest ecosystem and community in AI application development
- +Comprehensive abstractions for chains, agents, tools, and memory
- +LangSmith provides production-grade tracing and evaluation
- +LangGraph enables complex stateful multi-actor agent workflows
- +Extensive integrations with LLM providers, vector stores, and tools
- −Steep learning curve for advanced configurations and LangGraph
- −High total cost of ownership for complex deployments
- −Rapid API changes can break existing implementations
- −Trace pricing can escalate quickly at scale ($2.50-$5.00 per 1K traces)
Pricing: Agno vs LangChain
- · Full Python SDK + AgentOS runtime
- · Control plane UI included
- · 100+ tool integrations + MCP
- · Apache 2.0 license
- · 5K traces/month
- · 14-day retention
- · 1 seat
- · 1 workspace
- · 10K base traces/month
- · Up to 10 seats
- · 3 workspaces
- · 1 free dev-sized deployment
- · HIPAA BAA
- · SOC 2 Type II
- · Self-hosting options
- · Custom trace limits
What people are saying
Curated quotes from Hacker News, Reddit, Product Hunt, and review blogs. Dates shown so you can judge whether early criticism still applies.
- +
“Agno has emerged as one of the fastest-growing AI agent frameworks in 2026 — 39,100+ stars and a 424-contributor community.”
— DecisionCrafters review, DecisionCrafters · Apr 2026 - +
“Purpose-built for production with stateless scaling, session management, and enterprise features — closer to a 'framework + runtime + control plane' than just an SDK.”
— WorkOS engineering blog, WorkOS Blog · Mar 2026 - +
“Memory is stored in your database — you own the data, not the vendor. That alone made it the right call for our compliance posture.”
— Production team review, DecisionCrafters · Mar 2026 - ·
“Smaller community than LangChain at production scale — but the documentation gap is closing fast.”
— Framework comparison, AI Agents Directory · Mar 2026
When to Choose Agno vs LangChain
- Production multi-agent systems with stateless scaling
- Customer-facing AI assistants with session management
- Internal-tool agents with monitoring dashboards
- Building RAG applications
- Multi-agent orchestration with LangGraph
- Tool-using conversational agents
How to Choose a Agent Frameworks Tool
Key criteria to evaluate when comparing Agent Frameworks solutions:
About Agno
Agno (formerly Phidata) is an open-source Python framework for building production-grade AI agents and multi-agent systems. With 39,100+ GitHub stars and an active 424-contributor community, it's emerged as one of the fastest-growing agent frameworks in 2026.
Agno provides three integrated layers: a Python SDK for building individual agents and multi-agent teams, a stateless FastAPI runtime called AgentOS for production deployment, and a control plane UI for monitoring, session management, and team operations. It supports 23+ LLM providers (OpenAI, Anthropic Claude, Google Gemini, and more) and ships 100+ pre-built tool integrations including web search, data analysis, file operations, and Model Context Protocol (MCP) servers.
Memory and knowledge systems are first-class: user memories, session memories, and RAG knowledge bases are stored in your database — you own the data, not Agno. Recent v2.5.13 (March 2026) added ReliabilityEval for agent evaluation, enhanced AgentOS APIs for session management, and Slack interface improvements. Agno is positioned as the production-first alternative to LangChain/LangGraph for Python teams.
About LangChain
LangChain is the most widely adopted framework for building LLM-powered applications and AI agents, founded in 2022 by Harrison Chase. The company provides an open-source Python and TypeScript framework with abstractions for chains, agents, tools, memory, and retrieval that make it easy to compose complex AI systems.
LangGraph, its agent orchestration layer, enables building stateful, multi-actor workflows with human-in-the-loop capabilities. LangSmith provides tracing, evaluation, and monitoring for LLM applications in production. The LangChain ecosystem is the largest in the AI application development space, with the company reaching $16M in revenue and 1,000 customers by 2025.
Backed by $260M in total funding at a $1.25B valuation, LangChain has grown to 199 employees and is headquartered in San Francisco. The company serves as the de facto orchestration layer for teams building production AI applications.
What is Agent Frameworks?
Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.
Browse all Agent Frameworkstools →Frequently Asked Questions
Other Agent Frameworks Tools
More Agent Frameworks Comparisons
Run Agent Frameworks in production with Respan
One platform for routing, observability, tracing, and evals across every LLM provider.