Comparison
langchain vs langroid
Verdict
Pick langchain when pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; pick langroid when tags unique to langroid: ai, function-calling, gpt, gpt-4.
Markdown twin · langchain alternatives · langroid alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | langchain | langroid |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Very active (3d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | 2 low (2 low) As of 1d · mcp_manifest@v1 |
Tagline
- langchain
- The agent engineering platform.
- langroid
- Harness LLMs with Multi-Agent Programming
Stars
- langchain
- 142k
- langroid
- 4.1k
Forks
- langchain
- 24k
- langroid
- 381
Open issues
- langchain
- 419
- langroid
- 74
Language
- langchain
- Python
- langroid
- Python
Adopt for
- langchain
- LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect
- langroid
- -
Persona
- langchain
- -
- langroid
- -
Runtime
- langchain
- -
- langroid
- -
License
- langchain
- MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
- langroid
- MIT
Last pushed
- langchain
- Jul 11, 2026
- langroid
- Jul 7, 2026
Categories
- langchain
- AI Agents, LLM Frameworks
- langroid
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Days since push
- langchain
- 0d
- langroid
- 3d
Open issues (now)
- langchain
- 419
- langroid
- 74
Security scan
- langchain
- No lockfile
- langroid
- 2 low (2 low)
Full report
- langchain
- Trust report
- langroid
- Trust report
Shared compatibility
- Python · langchain: Python runtime · langroid: Python runtime
Choose langchain if…
- Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
- Tags unique to langchain: ai-agents, anthropic, deepagents, enterprise.
- * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
When NOT to use langchain
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
- * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
- * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
Choose langroid if…
- Tags unique to langroid: ai, function-calling, gpt, gpt-4.
- Also covers Vector Databases.
- langroid ships Docker support for self-hosted deployment.
When NOT to use langroid
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 Jul 11, 2026
- GitHub forks (langchain-ai/langchain) · observed Jul 11, 2026
- Last push (langchain-ai/langchain) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langroid/langroid) · observed Jul 11, 2026
- GitHub forks (langroid/langroid) · observed Jul 11, 2026
- Last push (langroid/langroid) · observed Jul 7, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain 142k · langroid 4.1k (synced Jul 11, 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 Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: ai-agents, anthropic, deepagents, enterprise; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
- When should I choose langroid over langchain?
- Choose langroid over langchain when Tags unique to langroid: ai, function-calling, gpt, gpt-4; Also covers Vector Databases; langroid ships Docker support for self-hosted deployment.
- When should I avoid langchain?
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
- When should I avoid langroid?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is langchain or langroid more popular on GitHub?
- langchain has more GitHub stars (141,504 vs 4,056). 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.