Comparison

Fleet vs LangGraph: Ready-to-Run Coding Teams vs Graph-Based Agent Framework

Name: Fleet
Author: Fleet

LangGraph is a Python framework for building stateful, graph-based multi-agent workflows. Fleet is a purpose-built tool for running coding agent teams against GitHub repositories — no framework code required.

LangGraph provides a low-level primitive for building agent workflows as directed graphs with persistent state. It is highly flexible and suited to teams that want precise control over agent logic, branching, and memory. Building a coding team with LangGraph means designing the graph, implementing each node, and wiring in your own GitHub, tmux, and governance logic.

Fleet ships with all of that pre-built. Agent roles, event-driven handoffs, GitHub label automation, approval gates, and audit trails are part of the product, not components you assemble. The tradeoff is flexibility for speed.

Choose Fleet if

Engineering teams that want a working coding agent team immediately, without implementing agent graph logic or GitHub integration from scratch.

Choose LangGraph if

Teams that need precise control over agent state machines, conditional branching, and multi-agent workflows — and are comfortable building in Python using a framework.

Fleet vs. LangGraph: side by side

Feature	Fleet	LangGraph
Abstraction level	Application: runs coding agents against GitHub workflows	Framework: building blocks for constructing agent workflows
Time to first agent run	Hours with YAML configuration	Days to weeks to build an equivalent workflow
GitHub integration	Native: label watcher, PR chain, release gate included	Must implement via custom tool nodes and integrations
State management	Built-in SQLite store for agent state and history	Configurable backends (SQLite, Postgres, Redis, etc.) — you wire it up
Governance	Per-agent run-time budgets, 6-dim evaluation, auto-quarantine risk model, approval gates, audit log	No built-in governance; implement as graph logic
Flexibility	Limited to Fleet's workflow model	Build any graph structure; handle any domain
Language	Go binary (no Python required)	Python library

Where Fleet is the better fit

No framework code to write — Fleet's coding workflow is pre-implemented and ready to configure
GitHub event-driven automation is native, not a custom integration project
Governance primitives and audit trail are included, reducing security and compliance implementation burden
No Python environment to manage; single statically compiled binary

Where LangGraph is the better fit

Full control over agent graph topology, conditional routing, and state schema
Handles any domain: not limited to software development workflows
Deep integration with the LangChain ecosystem, tools, and community
Persistent state backends are configurable; supports production-scale databases

Pricing

LangGraph is open source (MIT) and free; LangSmith (LangChain's observability platform) has paid tiers. Fleet's Team tier is $49 per agent slot per month with a free single-slot tier.

Do they compete, or coexist?

LangGraph and Fleet are rarely in direct competition. LangGraph is a framework for building agent systems; Fleet is a finished product for one specific domain (software development). If your use case requires custom agent logic or extends beyond software development, LangGraph is more appropriate. If you want a coding team running today, Fleet skips the framework work entirely.

Frequently asked questions

Is Fleet built on LangGraph?

No. Fleet is a pure Go application and does not use LangGraph or the Python AI framework ecosystem. It manages tmux sessions running Claude Code through its own orchestration logic.

Why would I use Fleet instead of building an agent workflow in LangGraph?

If your need is specifically a software development agent team — developer, reviewer, release-manager reacting to GitHub events — Fleet gives you that working out of the box. LangGraph is the better choice when you need custom workflow logic, non-standard agent coordination patterns, or need to cover domains beyond software development.

More comparisons

Fleet vs. CrewAI →Fleet vs. OpenHands →Fleet vs. Claude Squad →

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