Sequence-LLM
Manage multiple local LLMs with simple commands.
Sequence-LLM launched on February 17, 2026 with 3 votes, #3,486 of 16,627 launches that month and more than 50% of that year's launches.
What it does
Sequence-LLM is a developer CLI that helps you run and switch between local AI models without dealing with ports, processes, or server management. You define model profiles once, and then switch instantly: /brain /coder /status The tool automatically handles: • Starting and stopping model servers • Port management • Config loading • Cross-platform support (Windows, macOS, Linux) Built for developers experimenting with local AI on limited hardware. Early stage (v0.1). feedback welcome.
A sequence-based LLM orchestration framework
A terminal-first CLI for managing local LLMs running via llama-server . Ensures STRICT SEQUENTIAL LOADING — only one model at a time. Cross-platform (Windows/Linux/macOS). git clone https://github.com/Ananay28425/Sequence-LLM.git cd Sequence-LLM pip install -e . This installs the seq-llm command. The CLI auto-attempts to start the brain profile. If it fails, you'll see a warning. llama_server : "/opt/llama-server/llama-server" defaults : threads : 6 threads_batch : 8 batch_size : 512 profiles : brain : name : "Brain (GLM-4.7-Flash)" model_path : "/path/to/model.gguf" system_prompt : "/path/to/system.txt" port : 8081 ctx_size : 16384 temperature : 0.7 coder : name : "Coder…from pypi.org
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