Comparison
BodhiApp vs langchain-serve
Verdict
Pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods; pick langchain-serve if a tool for deploying Langchain applications using Jina & FastAPI, supporting Kubernetes or Docker Compose with built-in secrets management.
Markdown twin · BodhiApp alternatives · langchain-serve alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | BodhiApp | langchain-serve |
|---|---|---|
| Maintenance | Active (18d since push) As of 1w · github_public_v1 | Archived (1053d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- BodhiApp
- Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
- langchain-serve
- ⚡ Langchain apps in production using Jina & FastAPI
Stars
- BodhiApp
- 136
- langchain-serve
- 1.6k
Forks
- BodhiApp
- 10
- langchain-serve
- 133
Open issues
- BodhiApp
- 10
- langchain-serve
- 15
Language
- BodhiApp
- TypeScript
- langchain-serve
- Python
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- langchain-serve
- A tool for deploying Langchain applications using Jina & FastAPI, supporting Kubernetes or Docker Compose with built-in secrets management.
Persona
- BodhiApp
- -
- langchain-serve
- -
Runtime
- BodhiApp
- -
- langchain-serve
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- langchain-serve
- Apache-2.0
Last pushed
- BodhiApp
- Jul 26, 2026
- langchain-serve
- Sep 20, 2023
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- langchain-serve
- Inference & Serving
Trust and health
Maintenance
- BodhiApp
- Active (82%)
- langchain-serve
- Archived (8%)
Days since push
- BodhiApp
- 18d
- langchain-serve
- 1053d
Archived on GitHub
- BodhiApp
- No
- langchain-serve
- Yes
Open issues (now)
- BodhiApp
- 10
- langchain-serve
- 15
OSV dependency advisories
- BodhiApp
- No lockfile (source not queried)
- langchain-serve
- No published findings from this source as of 2026-07-11
Full report
- BodhiApp
- Trust report
- langchain-serve
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; langchain-serve is Python.
- Pricing: Pricing details are not mentioned in the repository data..
- Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen..
- Tags unique to BodhiApp: gemma, generative-ai, llama, local-llm.
- Also covers LLM Frameworks.
- You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
When NOT to use BodhiApp
- Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models.
- If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods.
- You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems.
Choose langchain-serve if…
- langchain-serve is primarily Python; BodhiApp is TypeScript.
- Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot.
- You need to deploy Langchain apps on personal infrastructure while ensuring security through your own policies.
When NOT to use langchain-serve
- If deploying locally without the advantages of secure secret handling or managed scaling from Jina AI Cloud is acceptable.
- For scenarios where you prefer a more customizable platform than what Jina AI Cloud offers in terms of pricing and instance configurations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BodhiSearch/BodhiApp) · observed Aug 13, 2026
- GitHub forks (BodhiSearch/BodhiApp) · observed Aug 13, 2026
- Last push (BodhiSearch/BodhiApp) · observed Jul 26, 2026
- License file (unknown) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (jina-ai/langchain-serve) · observed Aug 8, 2026
- GitHub forks (jina-ai/langchain-serve) · observed Aug 8, 2026
- Last push (jina-ai/langchain-serve) · observed Sep 20, 2023
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 136 · langchain-serve 1.6k (synced Aug 13, 2026).
Common questions
- What is the difference between BodhiApp and langchain-serve?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. langchain-serve: ⚡ Langchain apps in production using Jina & FastAPI. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over langchain-serve?
- Choose BodhiApp over langchain-serve when BodhiApp is primarily TypeScript; langchain-serve is Python; Pricing: Pricing details are not mentioned in the repository data.; Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.; Tags unique to BodhiApp: gemma, generative-ai, llama, local-llm; Also covers LLM Frameworks; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
- When should I choose langchain-serve over BodhiApp?
- Choose langchain-serve over BodhiApp when langchain-serve is primarily Python; BodhiApp is TypeScript; Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot; You need to deploy Langchain apps on personal infrastructure while ensuring security through your own policies.
- When should I avoid BodhiApp?
- Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems.
- When should I avoid langchain-serve?
- If deploying locally without the advantages of secure secret handling or managed scaling from Jina AI Cloud is acceptable. For scenarios where you prefer a more customizable platform than what Jina AI Cloud offers in terms of pricing and instance configurations.
- Is BodhiApp or langchain-serve more popular on GitHub?
- langchain-serve has more GitHub stars (1,640 vs 136). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and langchain-serve open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or langchain-serve?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and langchain-serve alternatives (BodhiApp markdown twin, langchain-serve 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, BodhiApp or langchain-serve?
- BodhiApp: Active. langchain-serve: Archived. 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 BodhiApp and langchain-serve?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; langchain-serve trust report.