Comparison
open-webui vs aichat
open-webui (User-friendly AI Interface (Supports Ollama, OpenAI API, ...)) vs aichat (All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · open-webui alternatives · aichat alternatives
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Tagline
- open-webui
- User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
- aichat
- All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents
Stars
- open-webui
- 145k
- aichat
- 10k
Forks
- open-webui
- 21k
- aichat
- 707
Open issues
- open-webui
- 347
- aichat
- 89
Language
- open-webui
- Python
- aichat
- Rust
Adopt for
- open-webui
- Open WebUI is an extensible AI platform that supports various language model runners and APIs, providing a robust suite of features including broad integrations, role-based access control, plugin support, and extensive R
- aichat
- -
Persona
- open-webui
- -
- aichat
- -
Runtime
- open-webui
- -
- aichat
- -
License
- open-webui
- Other (specific licensing details are not specified; refer to the official repository for complete terms.)
- aichat
- Apache-2.0
Last pushed
- open-webui
- Jul 2, 2026
- aichat
- Feb 23, 2026
Categories
- open-webui
- Evaluation & Observability, Inference & Serving, Developer Tools
- aichat
- AI Agents, LLM Frameworks, Inference & Serving
Trust and health
Maintenance
- open-webui
- Very active (96%)
- aichat
- Slowing (36%)
Days since push
- open-webui
- 5d
- aichat
- 134d
Open issues (now)
- open-webui
- 347
- aichat
- 89
Owner type
- open-webui
- Organization
- aichat
- User
Security scan
- open-webui
- No criticals
- aichat
- No lockfile
Full report
- open-webui
- Trust report
- aichat
- Trust report
Typed relationship
open-webui integrates aichatOpen WebUI can support RAG functionality which is a core feature of aichat.
Choose open-webui if…
- open-webui is primarily Python; aichat is Rust.
- License: open-webui is Other, aichat is Apache-2.0.
- Open WebUI offers self-hosted deployments which support offline operation and customization.
- Pricing: The platform is available under an unlisted license but mentions Enterprise plans with additional features such as custom theming, branding, SLA support, LTS versions, amongst others..
- Requirements: Requires Docker.
- Open WebUI can support RAG functionality which is a core feature of aichat.
- Tags unique to open-webui: webui, self-hosted, ai, rag.
- Also covers Evaluation & Observability, Developer Tools.
- open-webui ships Docker support for self-hosted deployment.
- You need to deploy an AI interface that can operate entirely offline.
When NOT to use open-webui
- Your project strictly requires cloud-based solutions without the option of offline operation.
- If your team does not require or can't manage the level of customization available through plugins and extensibility options.
- You prefer a solution with less granularity in role-based access control, as Open WebUI offers highly detailed permissions.
- You do not need support for local models like Ollama or specific integrations such as LMStudio or GroqCloud.
Choose aichat if…
- aichat is primarily Rust; open-webui is Python.
- License: aichat is Apache-2.0, open-webui is Other.
- Open WebUI can support RAG functionality which is a core feature of aichat.
- Tags unique to aichat: gemini, claude, function-calling, chatbot.
- Also covers AI Agents, LLM Frameworks.
When NOT to use aichat
- Last GitHub push was 136 days ago (slowing maintenance, Feb 23, 2026). Validate activity before betting a new project on aichat.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
open-webui trust report →aichat trust report →Evaluation & Observability category →Inference & Serving category →Developer Tools category →AI Agents category →LLM Frameworks category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between open-webui and aichat?
- open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). aichat: All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose open-webui over aichat?
- Choose open-webui over aichat when open-webui is primarily Python; aichat is Rust; License: open-webui is Other, aichat is Apache-2.0; Open WebUI offers self-hosted deployments which support offline operation and customization; Pricing: The platform is available under an unlisted license but mentions Enterprise plans with additional features such as custom theming, branding, SLA support, LTS versions, amongst others.; Requirements: Requires Docker; Open WebUI can support RAG functionality which is a core feature of aichat; Tags unique to open-webui: webui, self-hosted, ai, rag; Also covers Evaluation & Observability, Developer Tools; open-webui ships Docker support for self-hosted deployment; You need to deploy an AI interface that can operate entirely offline.
- When should I choose aichat over open-webui?
- Choose aichat over open-webui when aichat is primarily Rust; open-webui is Python; License: aichat is Apache-2.0, open-webui is Other; Open WebUI can support RAG functionality which is a core feature of aichat; Tags unique to aichat: gemini, claude, function-calling, chatbot; Also covers AI Agents, LLM Frameworks.
- When should I avoid open-webui?
- Your project strictly requires cloud-based solutions without the option of offline operation. If your team does not require or can't manage the level of customization available through plugins and extensibility options. You prefer a solution with less granularity in role-based access control, as Open WebUI offers highly detailed permissions. You do not need support for local models like Ollama or specific integrations such as LMStudio or GroqCloud.
- When should I avoid aichat?
- Last GitHub push was 136 days ago (slowing maintenance, Feb 23, 2026). Validate activity before betting a new project on aichat. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is open-webui or aichat more popular on GitHub?
- open-webui has more GitHub stars (144,677 vs 10,222). Stars measure visibility, not whether either tool fits your constraints.
- Are open-webui and aichat open source?
- Yes - both are open-source projects on GitHub (open-webui: Other, aichat: Apache-2.0).
- Where can I find alternatives to open-webui or aichat?
- GraphCanon lists graph-backed alternatives at /tools/open-webui-open-webui/alternatives and /tools/sigoden-aichat/alternatives (/tools/open-webui-open-webui/alternatives.md, /tools/sigoden-aichat/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/open-webui-open-webui-vs-sigoden-aichat.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, open-webui or aichat?
- open-webui: Very active. aichat: Slowing. 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 open-webui and aichat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-webui: /tools/open-webui-open-webui/trust; aichat: /tools/sigoden-aichat/trust.