Comparison
langchain-serve vs agent-framework
Verdict
Pick langchain-serve if langchain-serve is a tool for deploying Langchain applications in production using Jina and FastAPI, with support for Docker Compose or Kubernetes deployment and secrets management; pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Markdown twin · langchain-serve alternatives · agent-framework alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | langchain-serve | agent-framework |
|---|---|---|
| Maintenance | Archived (1094d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · 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
- langchain-serve
- Self-host LLM Apps with Docker Compose or Kubernetes
- agent-framework
- Framework for building and deploying AI agents and multi-agent workflows
Stars
- langchain-serve
- 1.6k
- agent-framework
- 14k
Forks
- langchain-serve
- 133
- agent-framework
- 2.3k
Open issues
- langchain-serve
- 15
- agent-framework
- 605
Language
- langchain-serve
- Python
- agent-framework
- Python
Adopt for
- langchain-serve
- Langchain-serve is a tool for deploying Langchain applications in production using Jina and FastAPI, with support for Docker Compose or Kubernetes deployment and secrets management.
- agent-framework
- The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
Persona
- langchain-serve
- -
- agent-framework
- -
Runtime
- langchain-serve
- -
- agent-framework
- -
License
- langchain-serve
- Apache-2.0
- agent-framework
- MIT
Last pushed
- langchain-serve
- Sep 20, 2023
- agent-framework
- Sep 18, 2026
Categories
- langchain-serve
- Developer Tools, Inference & Serving
- agent-framework
- AI Agents, Developer Tools
Trust and health
Maintenance
- langchain-serve
- Archived (8%)
- agent-framework
- Very active (96%)
Days since push
- langchain-serve
- 1094d
- agent-framework
- 0d
Archived on GitHub
- langchain-serve
- Yes
- agent-framework
- No
Open issues (now)
- langchain-serve
- 15
- agent-framework
- 605
Stars delta
- langchain-serve
- -1 (30d)
- agent-framework
- +855 (30d)
Open issues delta
- langchain-serve
- 0 (30d)
- agent-framework
- -80 (30d)
OSV dependency advisories
- langchain-serve
- No published findings from this source as of 2026-09-18
- agent-framework
- No lockfile (source not queried)
Full report
- langchain-serve
- Trust report
- agent-framework
- Trust report
Shared compatibility
- Python · langchain-serve: Python runtime · agent-framework: Python runtime
Choose langchain-serve if…
- License: langchain-serve is Apache-2.0, agent-framework is MIT.
- Pricing: Base credits ensure high availability by maintaining at least one instance running continuously, while serving credits are charged when the application is actively serving requests. Pricing is based, .
- Requirements: Min 1 GB RAM; Requires Docker; Requires Docker Compose or Kubernetes for deployment.; Secrets management is supported via `.env` files..
- Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot.
- Also covers Inference & Serving.
- When you need to deploy Langchain applications with Jina and FastAPI on your own infrastructure.
When NOT to use langchain-serve
- If you do not require or prefer not to use Jina and FastAPI for your Langchain applications.
- When you do not need or want to manage secrets through a `.env` file during deployment.
- If you are not interested in deploying your applications using Docker Compose or Kubernetes.
- If you are looking for a fully managed cloud service without the need to manage your own infrastructure.
Choose agent-framework if…
- License: agent-framework is MIT, langchain-serve is Apache-2.0.
- Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
- Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent.
- Also covers AI Agents.
- Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
When NOT to use agent-framework
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
- Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
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 Sep 20, 2026
- GitHub forks (jina-ai/langchain-serve) · observed Sep 20, 2026
- Last push (jina-ai/langchain-serve) · observed Sep 20, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (microsoft/agent-framework) · observed Sep 20, 2026
- GitHub forks (microsoft/agent-framework) · observed Sep 20, 2026
- Last push (microsoft/agent-framework) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: langchain-serve 1.6k · agent-framework 14k (synced Sep 20, 2026).
Common questions
- What is the difference between langchain-serve and agent-framework?
- langchain-serve: Self-host LLM Apps with Docker Compose or Kubernetes. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose langchain-serve over agent-framework?
- Choose langchain-serve over agent-framework when License: langchain-serve is Apache-2.0, agent-framework is MIT; Pricing: Base credits ensure high availability by maintaining at least one instance running continuously, while serving credits are charged when the application is actively serving requests. Pricing is based, ; Requirements: Min 1 GB RAM; Requires Docker; Requires Docker Compose or Kubernetes for deployment.; Secrets management is supported via
.envfiles.; Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, chatbot; Also covers Inference & Serving; When you need to deploy Langchain applications with Jina and FastAPI on your own infrastructure. - When should I choose agent-framework over langchain-serve?
- Choose agent-framework over langchain-serve when License: agent-framework is MIT, langchain-serve is Apache-2.0; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers AI Agents; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
- When should I avoid langchain-serve?
- If you do not require or prefer not to use Jina and FastAPI for your Langchain applications. When you do not need or want to manage secrets through a
.envfile during deployment. If you are not interested in deploying your applications using Docker Compose or Kubernetes. If you are looking for a fully managed cloud service without the need to manage your own infrastructure. - When should I avoid agent-framework?
- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
- Is langchain-serve or agent-framework more popular on GitHub?
- agent-framework has more GitHub stars (13,573 vs 1,639). Stars measure visibility, not whether either tool fits your constraints.
- Are langchain-serve and agent-framework open source?
- Yes - both are open-source projects on GitHub (langchain-serve: Apache-2.0, agent-framework: MIT).
- Where can I find alternatives to langchain-serve or agent-framework?
- GraphCanon lists graph-backed alternatives at langchain-serve alternatives and agent-framework alternatives (langchain-serve markdown twin, agent-framework 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 agent-framework?
- langchain-serve: Archived. agent-framework: 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 agent-framework?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langchain-serve trust report; agent-framework trust report.