Home/Compare/chainlit vs agentflow

Comparison

chainlit vs agentflow

Verdict

Pick chainlit if chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.

Markdown twin · chainlit alternatives · agentflow alternatives

GraphCanon updated 1w

chainlit logo

chainlit

Chainlit/chainlit

12kpushed Aug 4, 2026
vs
agentflow logo

agentflow

simonmesmith/agentflow

320pushed Aug 11, 2023

Trust & integrity

Signalchainlitagentflow
Maintenance
Very active (3d since push)
As of 2w · github_public_v1
Dormant (1100d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 1w · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-11
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

chainlit
Build Conversational AI in minutes ⚡️
agentflow
Complex LLM Workflows from Simple JSON

Stars

chainlit
12k
agentflow
320

Forks

chainlit
1.7k
agentflow
27

Open issues

chainlit
142
agentflow
13

Language

chainlit
Python
agentflow
Python

Adopt for

chainlit
Chainlit is a Python-based tool designed to streamline the development process of conversational AI applications, allowing developers to quickly build and interact with these apps.
agentflow
Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.

Persona

chainlit
-
agentflow
-

Runtime

chainlit
-
agentflow
-

License

chainlit
Apache-2.0
agentflow
MIT

Last pushed

chainlit
Aug 4, 2026
agentflow
Aug 11, 2023

Categories

chainlit
AI Agents, LLM Frameworks
agentflow
AI Agents, LLM Frameworks

Trust and health

Maintenance

chainlit
Very active (96%)
agentflow
Dormant (18%)

Days since push

chainlit
3d
agentflow
1100d

Open issues (now)

chainlit
142
agentflow
13

Stars delta

chainlit
Unknown
agentflow
-1 (30d)

Open issues delta

chainlit
Unknown
agentflow
0 (30d)

Owner type

chainlit
Organization
agentflow
User

OSV dependency advisories

chainlit
No published findings from this source as of 2026-07-11
agentflow
No lockfile (source not queried)

Full report

chainlit
Trust report
agentflow
Trust report

Shared compatibility

  • Python · chainlit: Python runtime · agentflow: Python runtime

Choose chainlit if…

  • License: chainlit is Apache-2.0, agentflow is MIT.
  • Tags unique to chainlit: chatgpt, langchain, llm, openai.
  • - When you want to develop conversational AI applications rapidly using familiar Python syntax.

When NOT to use chainlit

  • - Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development.
  • - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds.

Choose agentflow if…

  • License: agentflow is MIT, chainlit is Apache-2.0.
  • Tags unique to agentflow: json, large language models, workflow-management.
  • When you need to rapidly prototype LLM workflows with minimal coding via JSON configs

When NOT to use agentflow

  • Avoid if requiring advanced customization that goes beyond basic JSON configurations
  • Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: chainlit 12k · agentflow 320 (synced Aug 8, 2026).

Common questions

What is the difference between chainlit and agentflow?
chainlit: Build Conversational AI in minutes ⚡️. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
When should I choose chainlit over agentflow?
Choose chainlit over agentflow when License: chainlit is Apache-2.0, agentflow is MIT; Tags unique to chainlit: chatgpt, langchain, llm, openai; - When you want to develop conversational AI applications rapidly using familiar Python syntax.
When should I choose agentflow over chainlit?
Choose agentflow over chainlit when License: agentflow is MIT, chainlit is Apache-2.0; Tags unique to agentflow: json, large language models, workflow-management; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.
When should I avoid chainlit?
- Avoid if your development team is not comfortable with Python as Chainlit relies heavily on its ecosystem for rapid conversational AI development. - Not suitable if you require customization in low-level components, as it abstracts a lot of these away to provide quick builds.
When should I avoid agentflow?
Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
Is chainlit or agentflow more popular on GitHub?
chainlit has more GitHub stars (12,373 vs 320). Stars measure visibility, not whether either tool fits your constraints.
Are chainlit and agentflow open source?
Yes - both are open-source projects on GitHub (chainlit: Apache-2.0, agentflow: MIT).
Where can I find alternatives to chainlit or agentflow?
GraphCanon lists graph-backed alternatives at chainlit alternatives and agentflow alternatives (chainlit markdown twin, agentflow 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, chainlit or agentflow?
chainlit: Very active. agentflow: 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 chainlit and agentflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chainlit trust report; agentflow trust report.

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