Comparison
langchain vs langroid
Verdict
Pick langchain if langChain is a Python framework for building agents and LLM-powered applications, offering interoperable components and third-party integrations to simplify AI application development; pick langroid if langroid specializes in multi-agent systems with large language models, providing a Python framework for function-calling and chat integrations.
Markdown twin · langchain alternatives · langroid alternatives
GraphCanon updated Sep 30, 2026
9views this month
Trust & integrity
| Signal | langchain | langroid |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- langchain
- The agent engineering platform.
- langroid
- Harness LLMs with Multi-Agent Programming
Stars
- langchain
- 147k
- langroid
- 4.1k
Forks
- langchain
- 25k
- langroid
- 399
Open issues
- langchain
- 541
- langroid
- 53
Language
- langchain
- Python
- langroid
- Python
Adopt for
- langchain
- LangChain is a Python framework for building agents and LLM-powered applications, offering interoperable components and third-party integrations to simplify AI application development.
- langroid
- Langroid specializes in multi-agent systems with large language models, providing a Python framework for function-calling and chat integrations.
Persona
- langchain
- -
- langroid
- -
Runtime
- langchain
- -
- langroid
- -
License
- langchain
- MIT
- langroid
- MIT
Last pushed
- langchain
- Sep 18, 2026
- langroid
- Sep 5, 2026
Categories
- langchain
- AI Agents, LLM Frameworks
- langroid
- AI Agents, Data & Retrieval, Inference & Serving, Model Training
Trust and health
Days since push
- langchain
- 0d
- langroid
- 1d
Open issues (now)
- langchain
- 541
- langroid
- 53
Stars delta
- langchain
- +3.0k (30d)
- langroid
- +12 (30d)
Open issues delta
- langchain
- +78 (30d)
- langroid
- -22 (30d)
Full report
- langchain
- Trust report
- langroid
- Trust report
Typed relationship
Shared compatibility
- Python · langchain: Python runtime · langroid: Python runtime
Choose langchain if…
- Langroid also deals with Multi-Agent Programming powered by LLMs but seems adjacent rather than directly related to LangChain, which focuses more on an agent engineering platform.
- Tags unique to langchain: ai-agents, framework, langchain, multiagent.
- Also covers LLM Frameworks.
- When you need a framework that simplifies chaining together interoperable components and third-party integrations for AI application development.
When NOT to use langchain
- If you prefer a framework that does not offer built-in capabilities for common usage patterns such as planning and subagents, as LangChain's Deep Agents provide these features.
- When you need a higher-level abstraction that does not require detailed agent orchestration, as LangChain's LangGraph is designed for low-level control over agent workflows.
Choose langroid if…
- Langroid also deals with Multi-Agent Programming powered by LLMs but seems adjacent rather than directly related to LangChain, which focuses more on an agent engineering platform.
- Tags unique to langroid: ai, chatgpt, function-calling, gpt.
- Also covers Data & Retrieval, Inference & Serving, Model Training.
- langroid ships Docker support for self-hosted deployment.
- You need to integrate multiple agents working with large language models.
When NOT to use langroid
- You require support for a broad range of programming languages beyond Python.
- The project scope does not include multi-agent interactions or function-calling capabilities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langchain-ai/langchain) · observed Sep 20, 2026
- GitHub forks (langchain-ai/langchain) · observed Sep 20, 2026
- Last push (langchain-ai/langchain) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (langroid/langroid) · observed Sep 20, 2026
- GitHub forks (langroid/langroid) · observed Sep 20, 2026
- Last push (langroid/langroid) · observed Sep 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain 147k · langroid 4.1k (synced Sep 20, 2026).
Common questions
- What is the difference between langchain and langroid?
- langchain: The agent engineering platform.. langroid: Harness LLMs with Multi-Agent Programming. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain over langroid?
- Choose langchain over langroid when Langroid also deals with Multi-Agent Programming powered by LLMs but seems adjacent rather than directly related to LangChain, which focuses more on an agent engineering platform; Tags unique to langchain: ai-agents, framework, langchain, multiagent; Also covers LLM Frameworks; When you need a framework that simplifies chaining together interoperable components and third-party integrations for AI application development.
- When should I choose langroid over langchain?
- Choose langroid over langchain when Langroid also deals with Multi-Agent Programming powered by LLMs but seems adjacent rather than directly related to LangChain, which focuses more on an agent engineering platform; Tags unique to langroid: ai, chatgpt, function-calling, gpt; Also covers Data & Retrieval, Inference & Serving, Model Training; langroid ships Docker support for self-hosted deployment; You need to integrate multiple agents working with large language models.
- When should I avoid langchain?
- If you prefer a framework that does not offer built-in capabilities for common usage patterns such as planning and subagents, as LangChain's Deep Agents provide these features. When you need a higher-level abstraction that does not require detailed agent orchestration, as LangChain's LangGraph is designed for low-level control over agent workflows.
- When should I avoid langroid?
- You require support for a broad range of programming languages beyond Python. The project scope does not include multi-agent interactions or function-calling capabilities.
- Is langchain or langroid more popular on GitHub?
- langchain has more GitHub stars (146,576 vs 4,102). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain and langroid open source?
- Yes - both are open-source projects on GitHub (langchain: MIT, langroid: MIT).
- Where can I find alternatives to langchain or langroid?
- GraphCanon lists graph-backed alternatives at langchain alternatives and langroid alternatives (langchain markdown twin, langroid 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, langchain or langroid?
- langchain: Very active. langroid: 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 langchain and langroid?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; langroid trust report.