Based on my research, here's a comprehensive deep summary on LangGraph:
LangGraph is a low-level orchestration framework for building, managing, and deploying stateful, multi-actor agents powered by LLMs. It's designed for building long-running workflows that need persistence, memory, and complex control flow.
Key distinction: LangGraph is NOT a high-level agent framework like LangChain's agents. It's intentionally low-level, focusing entirely on agent orchestration and runtime capabilities.
| # Create the project | |
| uv init my-voice-agent && cd my-voice-agent | |
| # Install Pipecat with the services we need | |
| uv add "pipecat-ai[daily,openai,deepgram,cartesia,silero]" |
npx @modelcontextprotocol/inspector
| welcome@jaisairams-Laptop order_support_orchestrator_agents % brew update | |
| ==> Updating Homebrew... | |
| Updated 3 taps (hashicorp/tap, homebrew/core and homebrew/cask). | |
| ==> New Formulae | |
| actions-up: Tool to update GitHub Actions to latest versions with SHA pinning | |
| agent-browser: Browser automation CLI for AI agents | |
| aoe: Terminal session manager for AI coding agents | |
| apache-serf: High-performance asynchronous HTTP client library | |
| arcadedb: Multi-Model DBMS: Graph, Document, Key/Value, Search, Time Series, Vector | |
| asc: Fast, lightweight CLI for App Store Connect |
| %run /Users/welcome/Library/Mobile\ Documents/com~apple~CloudDocs/Tech_Learn/Tech_Repos/python_envs/A2A/A2A_event_agents/A2A_Examples/llm_judge_evaluations/init_notebook.ipynb |
| # Uninstall & Install required psycopg2-binary | |
| (custom-ai-agent) welcome@jaisairams-Laptop production-grade-agentic-system % uv pip uninstall psycopg2 psycopg2-binary | |
| warning: Skipping psycopg2 as it is not installed | |
| Uninstalled 1 package in 65ms | |
| - psycopg2-binary==2.9.10 | |
| (custom-ai-agent) welcome@jaisairams-Laptop production-grade-agentic-system % uv pip install "psycopg[binary]" | |
| Resolved 2 packages in 418ms | |
| Prepared 1 package in 232ms | |
| Installed 1 package in 1ms | |
| + psycopg-binary==3.2.6 |
| Feature / Concern | ADK | LangChain / LangGraph | CrewAI | Microsoft AutoGen |
|---|---|---|---|---|
| Core focus | Modular agents, tools, workflows; strong dev UX (CLI/UI) | General LLM app framework; LangGraph for durable, controllable agents | Role-based multi-agent "crews" + Flows for deterministic orchestration | Event-driven multi-agent conversations; humans/tools/LLMs in the loop |
| Built-in tools | Google Search, code exec, RAG, etc. (Gemini-focused) | Many integrations via toolkits; now nudging toward LangGraph for agents | Rich agent roles/tools; expanding code-exec features | Agents, tools, human-in-the-loop; code agents; AutoGen Studio (UI) |
| Models | Gemini-first, but model-agnostic (GPT/Claude supported) | Open, many providers; strong ecosystem | Open; supports multiple providers | Open; supports multiple providers |
| Workflows | Sequential, Parallel, Loop agents first-class | Compose graphs with nodes/edges |