Comparison
langchain vs llm_agents
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 llm_agents when tags unique to llm_agents: llms, deep-learning, machine-learning, python.
Markdown twin · langchain alternatives · llm_agents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | langchain | llm_agents |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (382d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 32 low (32 low) As of today · osv@v1 |
Tagline
- langchain
- The agent engineering platform.
- llm_agents
- Build agents which are controlled by LLMs
Stars
- langchain
- 142k
- llm_agents
- 1.1k
Forks
- langchain
- 24k
- llm_agents
- 85
Open issues
- langchain
- 419
- llm_agents
- 3
Language
- langchain
- Python
- llm_agents
- 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
- llm_agents
- -
Persona
- langchain
- -
- llm_agents
- -
Runtime
- langchain
- -
- llm_agents
- -
License
- langchain
- MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
- llm_agents
- MIT
Last pushed
- langchain
- Jul 11, 2026
- llm_agents
- Jun 23, 2025
Categories
- langchain
- LLM Frameworks, AI Agents
- llm_agents
- LLM Frameworks, AI Agents
Trust and health
Maintenance
- langchain
- Very active (96%)
- llm_agents
- Dormant (18%)
Days since push
- langchain
- 0d
- llm_agents
- 382d
Open issues (now)
- langchain
- 419
- llm_agents
- 3
Owner type
- langchain
- Organization
- llm_agents
- User
Security scan
- langchain
- No lockfile
- llm_agents
- 32 low (32 low)
Full report
- langchain
- Trust report
- llm_agents
- Trust report
Shared compatibility
- LangChain · langchain: LangChain integration · llm_agents: LangChain integration
- Python · langchain: Python runtime · llm_agents: 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: agents, gemini, deepagents, generative-ai.
- * 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 llm_agents if…
- Tags unique to llm_agents: llms, deep-learning, machine-learning, python.
- Leaner open-issue backlog (3).
When NOT to use llm_agents
- Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
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 (mpaepper/llm_agents) · observed Jul 11, 2026
- GitHub forks (mpaepper/llm_agents) · observed Jul 11, 2026
- Last push (mpaepper/llm_agents) · observed Jun 23, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain 142k · llm_agents 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between langchain and llm_agents?
- langchain: The agent engineering platform.. llm_agents: Build agents which are controlled by LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain over llm_agents?
- Choose langchain over llm_agents 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: agents, gemini, deepagents, generative-ai; * 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 llm_agents over langchain?
- Choose llm_agents over langchain when Tags unique to llm_agents: llms, deep-learning, machine-learning, python; Leaner open-issue backlog (3).
- 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 llm_agents?
- Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Is langchain or llm_agents more popular on GitHub?
- langchain has more GitHub stars (141,504 vs 1,050). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain and llm_agents open source?
- Yes - both are open-source projects on GitHub (langchain: MIT, llm_agents: MIT).
- Where can I find alternatives to langchain or llm_agents?
- GraphCanon lists graph-backed alternatives at langchain alternatives and llm_agents alternatives (langchain markdown twin, llm_agents 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 llm_agents?
- langchain: Very active. llm_agents: Dormant. 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 llm_agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain trust report; llm_agents trust report.