Best Open-Source ChatGPT Alternatives (2026)
16 self-hostable projects that directly address ChatGPT — without monthly fees and your prompts leaving your machine. The shortlist is manually checked for product fit before we compare self-host difficulty, deploy paths, maintenance, and licensing.

Compare the 16 reviewed alternatives
Tap a column header to sort| Project | Deploy | Managed | License | ||||
|---|---|---|---|---|---|---|---|
Ollama Docker | 185k ★ | 2/5 Simple | Docker Manual | MIT | today | Repo | |
Dify Python | 160k ★ | 3/5 Moderate | Docker Compose Kubernetes | Apache-2.0 | today | Repo | |
Open-WebUI Docker | 157k ★ | 2/5 Simple | Docker Docker Compose | BSD-3-Clause | today | Repo | |
OpenHands Python | 92k ★ | 3/5 Moderate | Docker Docker Compose | MIT | today | Repo | |
LobeHub Nodejs | 83k ★ | 3/5 Moderate | Docker Docker Compose +1 | ⊘ Proprietary | today | Repo | |
AnythingLLM Nodejs | 68k ★ | 2/5 Simple | Docker Docker Compose +1 | MIT | yesterday | Repo | |
LocalAI Docker | 50k ★ | 3/5 Moderate | Docker Docker Compose +1 | MIT | today | Repo | |
text-generation-webui Python | 48k ★ | 2/5 Simple | Docker Manual | AGPL-3.0 | 2 months ago | Repo | |
LibreChat Nodejs | 46k ★ | 3/5 Moderate | Docker Docker Compose +1 | MIT | today | Repo | |
Jan TypeScript | 45k ★ | 1/5 Minimal | Manual | AGPL-3.0 | today | Repo | |
Khoj Python | 38k ★ | 3/5 Moderate | Docker Manual | AGPL-3.0 | 2 months ago | Repo | |
Vane Docker | 38k ★ | 2/5 Simple | Docker Docker Compose | MIT | 1 month ago | Repo | |
Onyx Community Edition Docker | 33k ★ | 4/5 Involved | Docker Docker Compose +1 | MIT | today | Repo | |
Local Deep Research Docker | 9.4k ★ | 2/5 Simple | Docker Manual | MIT | today | Repo | |
Agenta Docker | 4.9k ★ | 3/5 Moderate | Docker Docker Compose | MIT | today | Repo | |
LLM Harbor Docker | 3.3k ★ | 3/5 Moderate | Docker Docker Compose | Apache-2.0 | 2 days ago | Repo |
The alternatives, reviewed
- #1
OllamaSelf-host: SimpleRun large language models locally with a simple CLI and REST API
185k Docker MIT todayHow it compares to ChatGPT
- No built-in chat UI; requires a separate front-end like Open-WebUI
- Fine-tuning and model training are not supported; inference only
- Multi-GPU distributed inference is limited compared to commercial inference APIs
- No built-in authentication, rate-limiting, or multi-tenant access control
- #2
DifySelf-host: ModerateOpen-source LLM app development platform with visual workflow, RAG, and agent builder
160k Python Apache-2.0 todayHow it compares to ChatGPT
- Self-hosted community edition lacks SSO and audit logs (cloud-only)
- Requires multiple services (Postgres, Redis, Weaviate/Qdrant) increasing ops burden
- Plugin marketplace is smaller than commercial AI platforms
- #3
Open-WebUISelf-host: SimpleFeature-rich self-hosted chat UI for Ollama and OpenAI-compatible APIs
157k Docker BSD-3-Clause todayHow it compares to ChatGPT
- Advanced reasoning models and GPT-4o-level capabilities depend entirely on the underlying model quality
- No native mobile app; browser-only experience
- Enterprise SSO/SAML and audit logging require additional configuration
- Plugin/tool ecosystem is smaller and less mature than ChatGPT's GPT store
- #4
OpenHandsSelf-host: ModerateOpen-source AI software engineer agent that writes, runs, and debugs code autonomously
92k Python MIT todayHow it compares to ChatGPT
- Agent reliability degrades on complex multi-file refactors
- Requires Docker-in-Docker for sandboxing, complicating some host setups
- No native multi-user workspace isolation in community edition
- #5
LobeHubSelf-host: ModerateModern AI chat framework with multi-provider support and MCP marketplace
83k Nodejs ⊘ Proprietary todayHow it compares to ChatGPT
- Core codebase is proprietary; community can contribute but cannot freely fork for commercial use
- Multi-user/team account management is limited in the self-hosted version compared to the cloud offering
- RAG and knowledge-base features are less mature than dedicated tools like AnythingLLM or Onyx
- Persistent conversation sync across devices requires the cloud service or custom backend setup
- #6
AnythingLLMSelf-host: SimpleAll-in-one local AI app with RAG, agents, and no-code agent builder
68k Nodejs MIT yesterdayHow it compares to ChatGPT
- Multi-user team collaboration features are gated behind the paid cloud/enterprise tier
- Web search integration is basic compared to dedicated AI search tools
- No native mobile client; desktop app only for native installs
- Large document ingestion can be slow without GPU-accelerated embedding
- #7
LocalAISelf-host: ModerateDrop-in OpenAI-compatible API for running AI models fully offline
50k Docker MIT todayHow it compares to ChatGPT
- No built-in chat UI; purely an API server requiring a separate front-end
- Performance on CPU is significantly slower than GPU-accelerated commercial APIs
- Configuration of models requires manual YAML files; not beginner-friendly
- Multimodal vision capabilities lag behind GPT-4o and Claude in quality
- #8
text-generation-webuiSelf-host: SimpleFeature-rich web UI for running large language models locally with multiple backends
48k Python AGPL-3.0 2 months agoHow it compares to ChatGPT
- No built-in team/multi-user auth; single-user by default
- Model management UI is less polished than commercial offerings
- No native document RAG pipeline (requires extensions)
- #9
LibreChatSelf-host: ModerateEnhanced multi-provider AI chat platform with auth, search, and plugins
46k Nodejs MIT todayHow it compares to ChatGPT
- Docker Compose stack requires MongoDB and optionally Meilisearch, adding operational overhead
- No native mobile app; web-only
- Plugin marketplace is community-driven with uneven quality control
- Advanced team/enterprise features (SSO, role-based billing) are absent
- #10
JanSelf-host: MinimalOffline-first, privacy-focused desktop app to run LLMs locally on any hardware
45k TypeScript AGPL-3.0 todayHow it compares to ChatGPT
- Desktop-only; no headless server deployment mode
- Multi-user collaboration not supported
- Limited to llama.cpp-compatible model formats
- #11
KhojSelf-host: ModeratePersonal AI second brain: search your docs, schedule automations, do deep research
38k Python AGPL-3.0 2 months agoHow it compares to ChatGPT
- Real-time web search index is shallower than Perplexity or Bing-backed tools
- Team/multi-user collaboration features are limited in self-hosted mode
- Scheduled automations require careful setup and may drift without monitoring
- Mobile apps are basic compared to consumer AI assistants
- #12
VaneSelf-host: SimpleSelf-hosted AI-powered search engine, an open-source Perplexity alternative
38k Docker MIT 1 month agoHow it compares to ChatGPT
- No user account system or conversation persistence across sessions
- Image and video search capabilities are absent
- Answer quality is heavily dependent on the LLM and search API keys you supply
- No mobile app or browser extension for quick lookups
- #13
Onyx Community EditionSelf-host: InvolvedEnterprise-grade AI chat with 40+ connectors, agents, and deep research
33k Docker MIT todayHow it compares to ChatGPT
- Self-hosted stack is resource-heavy (Postgres + Vespa + Redis + multiple services)
- Some enterprise connectors and features are gated behind the paid cloud tier
- Initial connector sync for large knowledge bases can take hours
- SAML/SSO configuration requires manual setup and is not well-documented for self-hosters
- #14
Local Deep ResearchSelf-host: SimpleAI deep research tool with multi-source search, PDF extraction, and local storage
9.4k Docker MIT todayHow it compares to ChatGPT
- Project is relatively new with limited community testing and potentially rough edges
- No real-time collaboration or sharing of research reports
- Search quality depends heavily on the LLM and API keys configured
- No web UI beyond the basic interface; limited customization options
- #15
AgentaSelf-host: ModerateLLMOps platform for prompt management, evaluation, and LLM observability
4.9k Docker MIT todayHow it compares to ChatGPT
- Observability depth is shallower than dedicated tools like LangSmith or Arize for large-scale production
- No built-in model fine-tuning or training pipelines
- Evaluation framework requires custom code for complex domain-specific metrics
- Self-hosted deployment documentation is less polished than the cloud onboarding
- #16
LLM HarborSelf-host: ModerateContainerized LLM toolkit: manage backends, APIs, and frontends via one CLI
3.3k Docker Apache-2.0 2 days agoHow it compares to ChatGPT
- Niche tool primarily aimed at power users; limited documentation for beginners
- No built-in UI beyond what the composed services provide
- Community is small; issues may go unanswered compared to larger projects
- Not suitable for production multi-user deployments without significant additional hardening