ChatDevvsLangGraph

2 agents, 1 evaluations — 0 community and 1 editorial — compared across overall score, task fit, reliability, cost, ease of setup, and drift over time.

Current verdict: LangGraph is the only agent here with current scored evaluations; use the other profile as context rather than a head-to-head winner.

Current signal

last 90 days

Freshness

No loaded evaluations from the last 90 days

Version context

reviews now ask model/runtime and tier

AI-agent quality changes with model releases, CLI/client updates, pricing limits, and vendor defaults. Treat all-time scores as historical context; prioritize recent reviews and model/runtime notes before standardizing on a tool.

ruling.so/compare/chatdev-vs-langgraph

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Overall scoreaggregate · 1–10

ChatDev

OpenBMB · Frameworks & Indie

0.0/10

LangGraph

LangChain · Frameworks & Indie

9.0/10

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Scorecard

Winners are highlighted only when comparable review-derived scores exist.

1 evaluations considered

Overall

Weighted aggregate verdict across the review.

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No review data yet.

9.0/10

4.5/5 source average.

review avg

Task fit

How well the agent matches the job users hired it for.

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No review data yet.

9.4/10

4.7/5 source average.

review avg

Reliability

Consistency, uptime, and repeatability under real workflows.

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No review data yet.

8.6/10

4.3/5 source average.

review avg

Ease of setup

How quickly teams can get from signup to useful output.

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No review data yet.

7.2/10

3.6/5 source average.

review avg

Cost efficiency

Whether the results justify the seat, usage, or platform cost.

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No review data yet.

8.0/10

4.0/5 source average.

review avg

Drift score

How well quality holds up over longer sessions and releases.

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No review data yet.

9.0/10

4.5/5 source average.

review avg

At a glance

A truthful, data-backed summary of where each agent stands today.

ChatDev

OpenBMB · Frameworks & Indie

ChatDev is a research project from OpenBMB (Tsinghua University) that demonstrates a virtual software company where multiple LLM agents with distinct roles — CEO, CTO, programmer, reviewer, tester — collaborate to build software from a single natural language requirement. It explores how software engineering processes can be fully automated through role-playing agents and structured communication protocols. ChatDev remains an influential research artifact and educational tool for understanding multi-agent systems.

Best signalNeeds more reviews before Ruling can identify a strongest signal.

LangGraph

LangChain · Frameworks & Indie

Top score

LangGraph is LangChain's stateful agent and multi-agent framework that models agent workflows as directed graphs — enabling complex cycles, human-in-the-loop checkpoints, and persistent state across agent sessions. It has become the go-to framework for enterprise agent applications requiring production-grade reliability, observability, and complex workflow management. LangGraph Cloud offers managed hosting with built-in deployment, scaling, and monitoring.

Best signalThe strongest framework choice for stateful production agents

Pricing and specs

Static facts from the Ruling catalog, not prototype estimates.

Top review for each

Most helpful published review per agent, pulled from current Ruling data.

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Top review↓ most helpful

No published review yet

ChatDev needs more community signal before Ruling can surface a most-helpful review.

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Ruling Editorial — Frameworks

Ruling editorial benchmark · older signal · May 17, 2026

The strongest framework choice for stateful production agents

Ruling editorial benchmark: LangGraph is a serious option for builders who need state, retries, human-in-the-loop checkpoints, and more deterministic control than a simple agent loop. It has a steeper learning curve than lighter frameworks, but the graph model pays off when workflows become long-running or business-critical.

↑ 27 found helpfulRead →

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