Comparison
agentscope vs langchain
Verdict
Pick agentscope if agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities; 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.
Markdown twin · agentscope alternatives · langchain alternatives
GraphCanon updated Sep 30, 2026
20views this month
vs
Trust & integrity
| Signal | agentscope | langchain |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 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 18, 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 Sep 18, 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
- agentscope
- Build and run agents you can see, understand and trust.
- langchain
- The agent engineering platform.
Stars
- agentscope
- 32k
- langchain
- 147k
Forks
- agentscope
- 3.5k
- langchain
- 25k
Open issues
- agentscope
- 374
- langchain
- 541
Language
- agentscope
- Python
- langchain
- Python
Adopt for
- agentscope
- agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities.
- 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.
Persona
- agentscope
- -
- langchain
- -
Runtime
- agentscope
- -
- langchain
- -
License
- agentscope
- Apache-2.0
- langchain
- MIT
Last pushed
- agentscope
- Sep 18, 2026
- langchain
- Sep 18, 2026
Categories
- agentscope
- AI Agents
- langchain
- AI Agents, LLM Frameworks
Trust and health
Open issues (now)
- agentscope
- 374
- langchain
- 541
Stars delta
- agentscope
- +2.9k (30d)
- langchain
- +3.0k (30d)
Open issues delta
- agentscope
- +20 (30d)
- langchain
- +78 (30d)
Full report
- agentscope
- Trust report
- langchain
- Trust report
Typed relationship
agentscope integrates langchainAgentscope and LangChain both focus on building AI agents but Agentscope emphasizes visibility, understanding, and trust in agents' actions which could complement the engineering platform of LangChain.
Shared compatibility
- Python · agentscope: Python runtime · langchain: Python runtime
Choose agentscope if…
- License: agentscope is Apache-2.0, langchain is MIT.
- Requirements: Requires Python 3.11 or higher..
- Agentscope and LangChain both focus on building AI agents but Agentscope emphasizes visibility, understanding, and trust in agents' actions which could complement the engineering platform of LangChain.
- Tags unique to agentscope: agent, chatbot, large-language-models, llm.
- When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants.
When NOT to use agentscope
- If your project requires a framework that supports Python versions lower than 3.11.
- When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features.
Choose langchain if…
- License: langchain is MIT, agentscope is Apache-2.0.
- Agentscope and LangChain both focus on building AI agents but Agentscope emphasizes visibility, understanding, and trust in agents' actions which could complement the engineering platform of LangChain.
- Tags unique to langchain: agents, ai-agents, framework, langchain.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentscope-ai/agentscope) · observed Sep 20, 2026
- GitHub forks (agentscope-ai/agentscope) · observed Sep 20, 2026
- Last push (agentscope-ai/agentscope) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- 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 on cards: agentscope 32k · langchain 147k (synced Sep 20, 2026).
Common questions
- What is the difference between agentscope and langchain?
- agentscope: Build and run agents you can see, understand and trust.. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentscope over langchain?
- Choose agentscope over langchain when License: agentscope is Apache-2.0, langchain is MIT; Requirements: Requires Python 3.11 or higher.; Agentscope and LangChain both focus on building AI agents but Agentscope emphasizes visibility, understanding, and trust in agents' actions which could complement the engineering platform of LangChain; Tags unique to agentscope: agent, chatbot, large-language-models, llm; When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants.
- When should I choose langchain over agentscope?
- Choose langchain over agentscope when License: langchain is MIT, agentscope is Apache-2.0; Agentscope and LangChain both focus on building AI agents but Agentscope emphasizes visibility, understanding, and trust in agents' actions which could complement the engineering platform of LangChain; Tags unique to langchain: agents, ai-agents, framework, langchain; 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 avoid agentscope?
- If your project requires a framework that supports Python versions lower than 3.11. When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features.
- 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.
- Is agentscope or langchain more popular on GitHub?
- langchain has more GitHub stars (146,576 vs 31,912). Stars measure visibility, not whether either tool fits your constraints.
- Are agentscope and langchain open source?
- Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, langchain: MIT).
- Where can I find alternatives to agentscope or langchain?
- GraphCanon lists graph-backed alternatives at agentscope alternatives and langchain alternatives (agentscope markdown twin, langchain 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, agentscope or langchain?
- agentscope: Very active. langchain: 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 agentscope and langchain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentscope trust report; langchain trust report.