Home/Compare/langgraph vs orloj

Comparison

langgraph vs orloj

Verdict

Pick langgraph if langGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities; pick orloj if orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files.

Markdown twin · langgraph alternatives · orloj alternatives

GraphCanon updated 1w

langgraph logo

langgraph

langchain-ai/langgraph

38kpushed Jul 28, 2026
vs
orloj logo

orloj

OrlojHQ/orloj

113pushed Aug 7, 2026

Trust & integrity

Signallanggraphorloj
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Very active (2d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

langgraph
Low-level orchestration framework for building stateful agents.
orloj
An orchestration runtime for multi-agent AI systems.

Stars

langgraph
38k
orloj
113

Forks

langgraph
6.5k
orloj
15

Open issues

langgraph
647
orloj
38

Language

langgraph
Python
orloj
Go

Adopt for

langgraph
LangGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities.
orloj
Orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files.

Persona

langgraph
-
orloj
-

Runtime

langgraph
-
orloj
-

License

langgraph
MIT
orloj
Apache-2.0 - The Apache License, Version 2.0 grants permission to use, study, change, and distribute the software -- commercially or non-commercially.

Last pushed

langgraph
Jul 28, 2026
orloj
Aug 7, 2026

Categories

langgraph
AI Agents, Developer Tools
orloj
AI Agents, Developer Tools

Trust and health

Days since push

langgraph
0d
orloj
2d

Open issues (now)

langgraph
647
orloj
38

OSV dependency advisories

langgraph
No lockfile (source not queried)
orloj
Published findings

Full report

langgraph
Trust report

Choose langgraph if…

  • langgraph is primarily Python; orloj is Go.
  • License: langgraph is MIT, orloj is Apache-2.0.
  • Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-.
  • Requirements: Min 4 GB RAM; Requires Python environment.
  • Tags unique to langgraph: agents, enterprise, framework, langchain.
  • When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management.

When NOT to use langgraph

  • LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents.
  • For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools.

Choose orloj if…

  • orloj is primarily Go; langgraph is Python.
  • License: orloj is Apache-2.0, langgraph is MIT.
  • Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files..
  • Tags unique to orloj: agent-framework, agentic-ai, agentic-orchestration, ai-governance.
  • orloj ships Docker support for self-hosted deployment.
  • You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical.

When NOT to use orloj

  • If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment.
  • When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: langgraph 38k · orloj 113 (synced Jul 28, 2026).

Common questions

What is the difference between langgraph and orloj?
langgraph: Low-level orchestration framework for building stateful agents.. orloj: An orchestration runtime for multi-agent AI systems.. See the comparison table for live GitHub stats and shared categories.
When should I choose langgraph over orloj?
Choose langgraph over orloj when langgraph is primarily Python; orloj is Go; License: langgraph is MIT, orloj is Apache-2.0; Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-; Requirements: Min 4 GB RAM; Requires Python environment; Tags unique to langgraph: agents, enterprise, framework, langchain; When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management.
When should I choose orloj over langgraph?
Choose orloj over langgraph when orloj is primarily Go; langgraph is Python; License: orloj is Apache-2.0, langgraph is MIT; Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files.; Tags unique to orloj: agent-framework, agentic-ai, agentic-orchestration, ai-governance; orloj ships Docker support for self-hosted deployment; You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical.
When should I avoid langgraph?
LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents. For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools.
When should I avoid orloj?
If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment. When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications.
Is langgraph or orloj more popular on GitHub?
langgraph has more GitHub stars (38,352 vs 113). Stars measure visibility, not whether either tool fits your constraints.
Are langgraph and orloj open source?
Yes - both are open-source projects on GitHub (langgraph: MIT, orloj: Apache-2.0).
Where can I find alternatives to langgraph or orloj?
GraphCanon lists graph-backed alternatives at langgraph alternatives and orloj alternatives (langgraph markdown twin, orloj markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, langgraph or orloj?
langgraph: Very active. orloj: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for langgraph and orloj?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langgraph trust report; orloj trust report.

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