Comparison
langchain-serve vs aikit
Verdict
Pick langchain-serve when langchain-serve is primarily Python; aikit is Go; pick aikit when aikit is primarily Go; langchain-serve is Python.
Markdown twin · langchain-serve alternatives · aikit alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | langchain-serve | aikit |
|---|---|---|
| Maintenance | Archived (1025d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No criticals As of today · osv@v1 | No lockfile As of today · none |
Tagline
- langchain-serve
- ⚡ Langchain apps in production using Jina & FastAPI
- aikit
- Fine-tune, build, and deploy open-source LLMs easily!
Stars
- langchain-serve
- 1.6k
- aikit
- 533
Forks
- langchain-serve
- 133
- aikit
- 57
Open issues
- langchain-serve
- 15
- aikit
- 41
Language
- langchain-serve
- Python
- aikit
- Go
Adopt for
- langchain-serve
- -
- aikit
- Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.
Persona
- langchain-serve
- -
- aikit
- -
Runtime
- langchain-serve
- -
- aikit
- -
License
- langchain-serve
- Apache-2.0
- aikit
- MIT
Last pushed
- langchain-serve
- Sep 20, 2023
- aikit
- Jul 11, 2026
Categories
- langchain-serve
- AI Agents, LLM Frameworks, Inference & Serving
- aikit
- LLM Frameworks, Model Training, Inference & Serving
Trust and health
Maintenance
- langchain-serve
- Archived (8%)
- aikit
- Very active (96%)
Days since push
- langchain-serve
- 1025d
- aikit
- 0d
Archived on GitHub
- langchain-serve
- Yes
- aikit
- No
Open issues (now)
- langchain-serve
- 15
- aikit
- 41
Security scan
- langchain-serve
- No criticals
- aikit
- No lockfile
Full report
- langchain-serve
- Trust report
- aikit
- Trust report
Choose langchain-serve if…
- langchain-serve is primarily Python; aikit is Go.
- License: langchain-serve is Apache-2.0, aikit is MIT.
- Tags unique to langchain-serve: autogpt, llm, fastapi, autonomous-agents.
- Also covers AI Agents.
When NOT to use langchain-serve
- langchain-serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- 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.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose aikit if…
- aikit is primarily Go; langchain-serve is Python.
- License: aikit is MIT, langchain-serve is Apache-2.0.
- Tags unique to aikit: gemma, fine-tuning, ai, docker.
- Also covers Model Training.
- aikit ships Docker support for self-hosted deployment.
- - You need a flexible solution specifically built using Go and prefer its concurrency model.
When NOT to use aikit
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit.
- - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jina-ai/langchain-serve) · observed Jul 11, 2026
- GitHub forks (jina-ai/langchain-serve) · observed Jul 11, 2026
- Last push (jina-ai/langchain-serve) · observed Sep 20, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (kaito-project/aikit) · observed Jul 11, 2026
- GitHub forks (kaito-project/aikit) · observed Jul 11, 2026
- Last push (kaito-project/aikit) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langchain-serve 1.6k · aikit 533 (synced Jul 11, 2026).
Common questions
- What is the difference between langchain-serve and aikit?
- langchain-serve: ⚡ Langchain apps in production using Jina & FastAPI. aikit: Fine-tune, build, and deploy open-source LLMs easily!. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain-serve over aikit?
- Choose langchain-serve over aikit when langchain-serve is primarily Python; aikit is Go; License: langchain-serve is Apache-2.0, aikit is MIT; Tags unique to langchain-serve: autogpt, llm, fastapi, autonomous-agents; Also covers AI Agents.
- When should I choose aikit over langchain-serve?
- Choose aikit over langchain-serve when aikit is primarily Go; langchain-serve is Python; License: aikit is MIT, langchain-serve is Apache-2.0; Tags unique to aikit: gemma, fine-tuning, ai, docker; Also covers Model Training; aikit ships Docker support for self-hosted deployment; - You need a flexible solution specifically built using Go and prefer its concurrency model.
- When should I avoid langchain-serve?
- langchain-serve is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid aikit?
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
- Is langchain-serve or aikit more popular on GitHub?
- langchain-serve has more GitHub stars (1,639 vs 533). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain-serve and aikit open source?
- Yes - both are open-source projects on GitHub (langchain-serve: Apache-2.0, aikit: MIT).
- Where can I find alternatives to langchain-serve or aikit?
- GraphCanon lists graph-backed alternatives at langchain-serve alternatives and aikit alternatives (langchain-serve markdown twin, aikit 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-serve or aikit?
- langchain-serve: Archived. aikit: 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-serve and aikit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain-serve trust report; aikit trust report.