llmaker
PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and has been in the index since 26 Aug 2026. How this is checked
llmaker is an open-source CLI for deploying and managing self-hosted LLM stacks on local hardware. It provisions models, vector databases, embeddings, retrieval agents, evaluation tools, and supporting services, while exposing OpenAI-compatible APIs and browser UIs for each instance.
Inferred · not functionally tested
Overview
6 featuresPurpose: Running and managing complete local LLM stacks without configuring CUDA, services, or third-party APIs manually.
Inferred · not functionally tested
Audience: developers and self-hosting teams
Inferred · not functionally tested
Functions: agents, rag, monitoring
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Open Source · platforms: CLI, WEB · deployment: browser, cli, self_hosted, embeddable, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: llmaker.raiyanyahya.workers.dev · github.com. These links do not verify the individual claims.
llmaker is an Inference & model serving project. Inferred · not functionally tested: It focuses on running and managing complete local LLM stacks without configuring CUDA, services, or third-party APIs manually. Inferred · not functionally tested: llmaker is an open-source project aimed at developers and self-hosting teams. Basis unknown · not verified: llmaker is open source under the Open Source license. Basis unknown · not verified: It runs on the web, the command line, embeddable surfaces, and API, and it can be self-hosted.
Behind llmaker is raiyanyahya, and it first shipped in 2026. The project is developed in the open on GitHub with 101 stars and 46 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are fleet control, model deployment, and GPU partitioning. Inferred · not functionally tested: Catalogued interfaces include a public API. llmaker is currently in beta.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Fleet control
- Model deployment
- GPU partitioning
- OpenAI-compatible API
- Web UI
- Vector databases
Topics: Inferred · not functionally tested
Built with & integrations
- local_oss
- bollama in the HTML · bllama in the HTML · studio in the HTML
- Cloudflare
- cf-ray header · cf-cache-status header
- meta_llama
- llama- in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed26 Aug · 15:52 UTCraiyanyahya/llmaker seen via GitHub Search (Smart)Source: GitHub Search (Smart) · Open
Frequently asked questions about llmaker
- What does llmaker do?
- Inferred · not functionally tested: Llmaker focuses on running and managing complete local LLM stacks without configuring CUDA, services, or third-party APIs manually. It is catalogued under Inference & model serving on PulseGate.
- Who should use llmaker?
- Inferred · not functionally tested: llmaker is an open-source project built for developers and self-hosting teams.
- Does llmaker have a free plan?
- Basis unknown · not verified: Yes — llmaker is open source under the Open Source license and free to use.
- What platforms does llmaker run on?
- Basis unknown · not verified: llmaker runs on the web, the command line, embeddable surfaces, and API. It can also be self-hosted.
- Is llmaker still active?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 46 commits in the last 90 days.
- What are alternatives to llmaker?
- Similar projects tracked by PulseGate include FreeModel, llm.rb, and RubyLLM.FreeModelllm.rbRubyLLM
- Who makes llmaker?
- llmaker is developed by raiyanyahya.
- How long has llmaker been around?
- llmaker first shipped in 2026.
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