Brigade vs LangGraph

Brigade

• Developers who want to run their own multi-agent setup on a laptop or server
• People who want an AI assistant that keeps data on hardware they control
• Users who already have a Claude, ChatGPT, or Copilot subscription and want to avoid managing API keys
• Teams experimenting with agents that delegate tasks through an org chart

LangGraph

• Python developers building multi-step AI agents that must survive failures or long waits
• Teams that want fine-grained control over agent state and execution flow
• Projects that need a human to review or edit an agent's state partway through a run
• Developers who want a lower-level base instead of a higher-level agent package

Brigade

• Runs locally with keys stored on your machine, per the README
• Supports many model providers, including local Ollama, and lets you switch models mid-conversation
• Single data directory at ~/.brigade/ that is easy to inspect or delete

LangGraph

• Built-in durable execution that resumes workflows from where they stopped, per the README
• Supports human-in-the-loop checkpoints and both short-term and long-term memory
• Open source under the MIT license with extensive documentation and a free course

Brigade

• People who want a polished consumer app with no setup, since the README describes it as an ecosystem you host yourself
• Anyone unwilling to run a command-line install and manage a local directory under ~/.brigade/
• Users who need guaranteed security review, since the README makes strong claims but this analysis did not verify them

LangGraph

• Beginners who just want a ready-made agent: the README points to Deep Agents, a higher-level package built on LangGraph, for quicker starts
• Non-programmers, since it is a Python library that requires writing code
• JavaScript/TypeScript-only teams, who are pointed to the separate LangGraph.js project

Brigade

• The README is long and marketing-heavy, so some claims about enterprise scale are not independently verified here
• Requires Node 22.12+ or the provided install script, and a permissions issue (EACCES) is mentioned for global npm installs
• Many features (channels, connectors, Convex backend) add setup complexity beyond basic chat

LangGraph

• It is a low-level framework, so it has a steeper learning curve than higher-level tools
• Several of the most useful features (debugging, deployment) point to LangSmith, a separate product
• The README is truncated and does not show full API details, so the depth of specific features is hard to verify from it alone