Alternatives
Self-hosted alternatives to Continue
Projects in the registry that can run on your own hardware and serve at least one of the same use cases as Continue.
- Source
- Registry relations over fetched repository records — the evidence sits on each repository page
- Verified
- Evidence not verified
- Confidence
- High
01How this list was built
- Compared against
- Continue
- Delivery
- Hybrid — hosted or self-hosted
- Shared use cases
- AI coding assistant, Local LLM
- Selection rule
- open source, or self-hostable, and shares a use case
- Candidates found
- 10
02Alternatives
AnythingLLM
Hybrid — hosted or self-hosted
Desktop and server application that turns a document set into a chat workspace, with per-workspace embeddings, multiple model back ends and a built-in vector store.
- Repository
- Mintplex-Labs/anything-llm
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm
LiteLLM
Cloud platforms
Gateway that presents one OpenAI-compatible API in front of many providers and local servers, with per-team keys, budgets, rate limits, fallbacks and request logging.
- Repository
- BerriAI/litellm
- Stars
- 57,216
- Licence
- Other
- In stacks
- 2
Shares: Local llm · Ai coding assistant
llama.cpp
Libraries
C++ inference engine for quantised models on CPU, Apple Silicon and GPUs, with a bundled HTTP server. The engine underneath many desktop runtimes and the GGUF quantisation format.
- Repository
- ggml-org/llama.cpp
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm
LM Studio
Hybrid — hosted or self-hosted
Desktop application for downloading and running open-weight models locally, with a chat interface and a local OpenAI-compatible server. Windows, macOS and Linux.
- Repository
- none linked
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm
LocalAI
Model servers
Drop-in OpenAI-compatible API server that runs text, embedding, image and audio models locally across several back ends, including CPU-only deployments.
- Repository
- mudler/LocalAI
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm
Ollama
Model servers
Local model runtime with a one-command install, a model library and an OpenAI-compatible API. The usual starting point for running open-weight models on a workstation or small server.
- Repository
- ollama/ollama
- Stars
- 179,403
- Licence
- MIT
- In stacks
- 3
Shares: Local llm · Ai coding assistant
Open WebUI
Self-hosted projects
Self-hosted chat interface for local and hosted models, with user accounts, groups, document upload and built-in retrieval. Runs in Docker against Ollama, vLLM or any OpenAI-compatible endpoint.
- Repository
- open-webui/open-webui
- Stars
- 149,870
- Licence
- Other
- In stacks
- 4
Shares: Local llm
SGLang
Model servers
Serving framework for large models with prefix caching and structured-output support, aimed at high-throughput deployments and multi-GPU serving.
- Repository
- sgl-project/sglang
- Stars
- —
- Licence
- unknown
- In stacks
- 0
Shares: Local llm
Tabby
Self-hosted projects
Self-hosted coding assistant with its own inference server, repository-aware context and IDE extensions. Runs entirely inside the network, including on a single GPU.
- Repository
- TabbyML/tabby
- Stars
- 33,834
- Licence
- Other
- In stacks
- 1
Shares: Ai coding assistant · Local llm
vLLM
Model servers
High-throughput GPU inference server using paged attention and continuous batching, with an OpenAI-compatible API. Built for many concurrent users rather than single-session use.
- Repository
- vllm-project/vllm
- Stars
- 89,956
- Licence
- Apache-2.0
- In stacks
- 7
Shares: Local llm
03Repository facts
| Repository | Stars | Health |
|---|---|---|
| Mintplex-Labs/anything-llm | — | Health not measuredunknown |
| BerriAI/litellmThe fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM] | 57k | Maintenance 100%, Releases 100%, Contributors 50%, Issues 14%, Community 95%83 |
| ggml-org/llama.cpp | — | Health not measuredunknown |
| mudler/LocalAI | — | Health not measuredunknown |
| ollama/ollamaGet up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | 179k | Maintenance 100%, Releases 100%, Contributors 50%, Issues 79%, Community 100%90 |
| open-webui/open-webuiUser-friendly AI Interface (Supports Ollama, OpenAI API, ...) | 150k | Maintenance 100%, Releases 80%, Contributors 50%, Issues 99%, Community 100%88 |
| sgl-project/sglang | — | Health not measuredunknown |
| TabbyML/tabbySelf-hosted AI coding assistant | 34k | Maintenance 60%, Releases 20%, Contributors 50%, Issues 90%, Community 91%61 |
| vllm-project/vllmA high-throughput and memory-efficient inference and serving engine for LLMs | 90k | Maintenance 100%, Releases 80%, Contributors 50%, Issues 22%, Community 99%81 |
04Ask about your own case
Which alternative is right depends on how many people will use it, what the data is and what you can operate. Ask and the answer is researched for your organisation.