Comparison
deep-chat vs agentflow
Verdict
Pick deep-chat if deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Markdown twin · deep-chat alternatives · agentflow alternatives
GraphCanon updated Aug 16, 2026
7views this month
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Trust & integrity
| Signal | deep-chat | agentflow |
|---|---|---|
| Maintenance | Very active (6d since push) As of Aug 14, 2026 · github_public_v1 | Dormant (1100d since push) As of Aug 16, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 14, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 16, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- deep-chat
- Fully customizable AI chatbot component for website integration
- agentflow
- Complex LLM Workflows from Simple JSON
Stars
- deep-chat
- 3.7k
- agentflow
- 320
Forks
- deep-chat
- 448
- agentflow
- 27
Open issues
- deep-chat
- 36
- agentflow
- 13
Language
- deep-chat
- TypeScript
- agentflow
- Python
Adopt for
- deep-chat
- deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI.
- agentflow
- Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Persona
- deep-chat
- -
- agentflow
- -
Runtime
- deep-chat
- -
- agentflow
- -
License
- deep-chat
- MIT
- agentflow
- MIT
Last pushed
- deep-chat
- Aug 7, 2026
- agentflow
- Aug 11, 2023
Categories
- deep-chat
- AI Agents
- agentflow
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- deep-chat
- Very active (96%)
- agentflow
- Dormant (18%)
Days since push
- deep-chat
- 6d
- agentflow
- 1100d
Open issues (now)
- deep-chat
- 36
- agentflow
- 13
Stars delta
- deep-chat
- Unknown
- agentflow
- -1 (30d)
Open issues delta
- deep-chat
- Unknown
- agentflow
- 0 (30d)
Full report
- deep-chat
- Trust report
- agentflow
- Trust report
Choose deep-chat if…
- deep-chat is primarily TypeScript; agentflow is Python.
- Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini.
- Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more.
When NOT to use deep-chat
- Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat.
- Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development.
Choose agentflow if…
- agentflow is primarily Python; deep-chat is TypeScript.
- Tags unique to agentflow: json, large language models, python, workflow-management.
- Also covers LLM Frameworks.
- 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 (OvidijusParsiunas/deep-chat) · observed Aug 14, 2026
- GitHub forks (OvidijusParsiunas/deep-chat) · observed Aug 14, 2026
- Last push (OvidijusParsiunas/deep-chat) · observed Aug 7, 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 (simonmesmith/agentflow) · observed Aug 16, 2026
- GitHub forks (simonmesmith/agentflow) · observed Aug 16, 2026
- Last push (simonmesmith/agentflow) · observed Aug 11, 2023
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deep-chat 3.7k · agentflow 320 (synced Aug 14, 2026).
Common questions
- What is the difference between deep-chat and agentflow?
- deep-chat: Fully customizable AI chatbot component for website integration. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
- When should I choose deep-chat over agentflow?
- Choose deep-chat over agentflow when deep-chat is primarily TypeScript; agentflow is Python; Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini; Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more.
- When should I choose agentflow over deep-chat?
- Choose agentflow over deep-chat when agentflow is primarily Python; deep-chat is TypeScript; Tags unique to agentflow: json, large language models, python, workflow-management; Also covers LLM Frameworks; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.
- When should I avoid deep-chat?
- Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat. Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development.
- 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 deep-chat or agentflow more popular on GitHub?
- deep-chat has more GitHub stars (3,699 vs 320). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-chat and agentflow open source?
- Yes - both are open-source projects on GitHub (deep-chat: MIT, agentflow: MIT).
- Where can I find alternatives to deep-chat or agentflow?
- GraphCanon lists graph-backed alternatives at deep-chat alternatives and agentflow alternatives (deep-chat 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, deep-chat or agentflow?
- deep-chat: 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 deep-chat and agentflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-chat trust report; agentflow trust report.