Comparison
anything-llm vs deep-chat
Verdict
Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; 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.
Markdown twin · anything-llm alternatives · deep-chat alternatives
GraphCanon updated Sep 18, 2026
vs
Trust & integrity
| Signal | anything-llm | 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
- anything-llm
- Self-hosted AI agent experience
- deep-chat
- Fully customizable AI chatbot component for website integration
Stars
- anything-llm
- 66k
- deep-chat
- 3.7k
Forks
- anything-llm
- 7.3k
- deep-chat
- 448
Open issues
- anything-llm
- 315
- deep-chat
- 36
Language
- anything-llm
- JavaScript
- deep-chat
- TypeScript
Adopt for
- anything-llm
- anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
- 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
- anything-llm
- -
- deep-chat
- -
Runtime
- anything-llm
- -
- deep-chat
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- deep-chat
- MIT
Last pushed
- anything-llm
- Sep 17, 2026
- deep-chat
- Aug 7, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- deep-chat
- AI Agents
Trust and health
Days since push
- anything-llm
- 0d
- deep-chat
- 6d
Open issues (now)
- anything-llm
- 315
- deep-chat
- 36
Stars delta
- anything-llm
- +1.5k (30d)
- deep-chat
- Unknown
Open issues delta
- anything-llm
- -4 (30d)
- deep-chat
- Unknown
Owner type
- anything-llm
- Organization
- deep-chat
- User
Full report
- anything-llm
- Trust report
- deep-chat
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; deep-chat is TypeScript.
- Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
- Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
- Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
- Also covers Developer Tools, Inference & Serving.
- When you need a local-first AI agent experience that you can fully control and customize.
When NOT to use anything-llm
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
- When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
Choose deep-chat if…
- deep-chat is primarily TypeScript; anything-llm is JavaScript.
- 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 (Mintplex-Labs/anything-llm) · observed Sep 18, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Sep 18, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Sep 17, 2026
- License file (MIT) · 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: anything-llm 66k · deep-chat 3.7k (synced Sep 18, 2026).
Common questions
- What is the difference between anything-llm and deep-chat?
- anything-llm: Self-hosted AI agent experience. 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 anything-llm over deep-chat?
- Choose anything-llm over deep-chat when anything-llm is primarily JavaScript; deep-chat is TypeScript; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Developer Tools, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose deep-chat over anything-llm?
- Choose deep-chat over anything-llm when deep-chat is primarily TypeScript; anything-llm is JavaScript; 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 anything-llm?
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
- 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 anything-llm or deep-chat more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 3,699). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and deep-chat open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, deep-chat: MIT).
- Where can I find alternatives to anything-llm or deep-chat?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and deep-chat alternatives (anything-llm 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, anything-llm or deep-chat?
- anything-llm: 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 anything-llm and deep-chat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; deep-chat trust report.