Comparison
forge vs langchain
Verdict
Pick forge if developers working on self-hosted LLM tooling who need flexibility in backend setup and seamless integration of function calling in multi-step workflows might benefit from Forge; pick langchain if langChain framework tailored for Elixir projects.
Markdown twin · forge alternatives · langchain alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | forge | langchain |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- forge
- A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
- langchain
- Elixir implementation of a LangChain style framework for integrating with and leveraging LLMs.
Stars
- forge
- 2.2k
- langchain
- 1.2k
Forks
- forge
- 173
- langchain
- 212
Open issues
- forge
- 4
- langchain
- 30
Language
- forge
- Python
- langchain
- Elixir
Adopt for
- forge
- Developers working on self-hosted LLM tooling who need flexibility in backend setup and seamless integration of function calling in multi-step workflows might benefit from Forge.
- langchain
- LangChain framework tailored for Elixir projects
Persona
- forge
- -
- langchain
- -
Runtime
- forge
- -
- langchain
- -
License
- forge
- MIT
- langchain
- Other
Last pushed
- forge
- Aug 13, 2026
- langchain
- Aug 6, 2026
Categories
- forge
- AI Agents, LLM Frameworks
- langchain
- LLM Frameworks
Trust and health
Days since push
- forge
- 0d
- langchain
- 1d
Open issues (now)
- forge
- 4
- langchain
- 30
Full report
- forge
- Trust report
- langchain
- Trust report
Choose forge if…
- forge is primarily Python; langchain is Elixir.
- License: forge is MIT, langchain is Other.
- Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.12+ and a running LLM backend.; Can be set up with local backends (e.g., llama.cpp) or Anthropic via its API, requiring an API key for the latter case..
- Tags unique to forge: agentic-ai, function-calling, multi-step-workflows, python-framework.
- Also covers AI Agents.
- forge ships Docker support for self-hosted deployment.
- - You require an agnostic backend setup, such as local LLM backends like llama.cpp or cloud-based services with Anthropic.
When NOT to use forge
- - If your application does not require flexibility in backend selection, and you prefer a single cloud provider like Anthropic without local setup.
- - For scenarios where simplicity of setup outweighs the need for customization in function calling and workflow management.
- - When working within environments strictly regulated against self-hosted infrastructure or requiring fully managed services.
Choose langchain if…
- langchain is primarily Elixir; forge is Python.
- License: langchain is Other, forge is MIT.
- Requirements: Requires at least Elixir 1.17; Add `langchain` to dep list in `mix.exs` for installation.
- Tags unique to langchain: ai, anthropic, bumblebee, chatgpt.
- You are working on an Elixir project and want to integrate advanced Language Model capabilities.
When NOT to use langchain
- Your project is not written in Elixir, as this framework does not offer official support for other programming languages.
- If your requirements mandate a non-Elixir environment or dependency ecosystem, such as Python which has more mature LLM frameworks.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (antoinezambelli/forge) · observed Aug 14, 2026
- GitHub forks (antoinezambelli/forge) · observed Aug 14, 2026
- Last push (antoinezambelli/forge) · observed Aug 13, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (brainlid/langchain) · observed Aug 8, 2026
- GitHub forks (brainlid/langchain) · observed Aug 8, 2026
- Last push (brainlid/langchain) · observed Aug 6, 2026
- License file (Other) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: forge 2.2k · langchain 1.2k (synced Aug 14, 2026).
Common questions
- What is the difference between forge and langchain?
- forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows. langchain: Elixir implementation of a LangChain style framework for integrating with and leveraging LLMs.. See the comparison table for live GitHub stats and shared categories.
- When should I choose forge over langchain?
- Choose forge over langchain when forge is primarily Python; langchain is Elixir; License: forge is MIT, langchain is Other; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.12+ and a running LLM backend.; Can be set up with local backends (e.g., llama.cpp) or Anthropic via its API, requiring an API key for the latter case.; Tags unique to forge: agentic-ai, function-calling, multi-step-workflows, python-framework; Also covers AI Agents; forge ships Docker support for self-hosted deployment; - You require an agnostic backend setup, such as local LLM backends like llama.cpp or cloud-based services with Anthropic.
- When should I choose langchain over forge?
- Choose langchain over forge when langchain is primarily Elixir; forge is Python; License: langchain is Other, forge is MIT; Requirements: Requires at least Elixir 1.17; Add
langchainto dep list inmix.exsfor installation; Tags unique to langchain: ai, anthropic, bumblebee, chatgpt; You are working on an Elixir project and want to integrate advanced Language Model capabilities. - When should I avoid forge?
- - If your application does not require flexibility in backend selection, and you prefer a single cloud provider like Anthropic without local setup. - For scenarios where simplicity of setup outweighs the need for customization in function calling and workflow management. - When working within environments strictly regulated against self-hosted infrastructure or requiring fully managed services.
- When should I avoid langchain?
- Your project is not written in Elixir, as this framework does not offer official support for other programming languages. If your requirements mandate a non-Elixir environment or dependency ecosystem, such as Python which has more mature LLM frameworks.
- Is forge or langchain more popular on GitHub?
- forge has more GitHub stars (2,217 vs 1,192). Stars measure visibility, not whether either tool fits your constraints.
- Are forge and langchain open source?
- Yes - both are open-source projects on GitHub (forge: MIT, langchain: Other).
- Where can I find alternatives to forge or langchain?
- GraphCanon lists graph-backed alternatives at forge alternatives and langchain alternatives (forge 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, forge or langchain?
- forge: 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 forge and langchain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: forge trust report; langchain trust report.