Comparison
agentscope vs deep-chat
Verdict
Pick agentscope if agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities; 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.
Markdown twin · agentscope alternatives · deep-chat alternatives
GraphCanon updated Sep 18, 2026
vs
Trust & integrity
| Signal | agentscope | deep-chat |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (6d since push) As of Aug 14, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 14, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- agentscope
- Build and run agents you can see, understand and trust.
- deep-chat
- Fully customizable AI chatbot component for website integration
Stars
- agentscope
- 32k
- deep-chat
- 3.7k
Forks
- agentscope
- 3.5k
- deep-chat
- 448
Open issues
- agentscope
- 374
- deep-chat
- 36
Language
- agentscope
- Python
- deep-chat
- TypeScript
Adopt for
- agentscope
- agentscope is a Python-based framework for developing and running agents, including chatbots and voice assistants, with support for large language models and multi-modal capabilities.
- 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.
Persona
- agentscope
- -
- deep-chat
- -
Runtime
- agentscope
- -
- deep-chat
- -
License
- agentscope
- Apache-2.0
- deep-chat
- MIT
Last pushed
- agentscope
- Sep 18, 2026
- deep-chat
- Aug 7, 2026
Categories
- agentscope
- AI Agents
- deep-chat
- AI Agents
Trust and health
Days since push
- agentscope
- 0d
- deep-chat
- 6d
Open issues (now)
- agentscope
- 374
- deep-chat
- 36
Stars delta
- agentscope
- +2.9k (30d)
- deep-chat
- Unknown
Open issues delta
- agentscope
- +20 (30d)
- deep-chat
- Unknown
Owner type
- agentscope
- Organization
- deep-chat
- User
Full report
- agentscope
- Trust report
- deep-chat
- Trust report
Choose agentscope if…
- agentscope is primarily Python; deep-chat is TypeScript.
- License: agentscope is Apache-2.0, deep-chat is MIT.
- Requirements: Requires Python 3.11 or higher..
- Tags unique to agentscope: agent, chatbot, large-language-models, llm.
- When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants.
When NOT to use agentscope
- If your project requires a framework that supports Python versions lower than 3.11.
- When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features.
Choose deep-chat if…
- deep-chat is primarily TypeScript; agentscope is Python.
- License: deep-chat is MIT, agentscope is Apache-2.0.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agentscope-ai/agentscope) · observed Sep 18, 2026
- GitHub forks (agentscope-ai/agentscope) · observed Sep 18, 2026
- Last push (agentscope-ai/agentscope) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 18, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- 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 on cards: agentscope 32k · deep-chat 3.7k (synced Sep 18, 2026).
Common questions
- What is the difference between agentscope and deep-chat?
- agentscope: Build and run agents you can see, understand and trust.. deep-chat: Fully customizable AI chatbot component for website integration. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentscope over deep-chat?
- Choose agentscope over deep-chat when agentscope is primarily Python; deep-chat is TypeScript; License: agentscope is Apache-2.0, deep-chat is MIT; Requirements: Requires Python 3.11 or higher.; Tags unique to agentscope: agent, chatbot, large-language-models, llm; When you need a framework that supports large language models and multi-modal capabilities for building chatbots and voice assistants.
- When should I choose deep-chat over agentscope?
- Choose deep-chat over agentscope when deep-chat is primarily TypeScript; agentscope is Python; License: deep-chat is MIT, agentscope is Apache-2.0; 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 avoid agentscope?
- If your project requires a framework that supports Python versions lower than 3.11. When you need a framework that does not emphasize multi-modal capabilities or large language models, as agentscope is specifically designed with these features.
- 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.
- Is agentscope or deep-chat more popular on GitHub?
- agentscope has more GitHub stars (31,912 vs 3,699). Stars measure visibility, not whether either tool fits your constraints.
- Are agentscope and deep-chat open source?
- Yes - both are open-source projects on GitHub (agentscope: Apache-2.0, deep-chat: MIT).
- Where can I find alternatives to agentscope or deep-chat?
- GraphCanon lists graph-backed alternatives at agentscope alternatives and deep-chat alternatives (agentscope markdown twin, deep-chat 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, agentscope or deep-chat?
- agentscope: Very active. deep-chat: 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 agentscope and deep-chat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentscope trust report; deep-chat trust report.