# LLeMbas CLI A terminal coding agent and project manager: the `lembas` command. It talks to any LLM API (OpenAI-compatible servers such as llama.cpp, vLLM or LM Studio, the OpenAI Responses API, Anthropic, Gemini, Ollama), works in your project with four permission modes and a git snapshot of every turn, remembers what it learns across sessions, and can sign in to a [LLeMbas](https://github.com/LLeMbas/LLeMbas) server to use its models, library and search — and let its web UI work the same sessions. Linux, x64 and arm64. ## Install ```sh curl -fsSL https://github.com/LLeMbas/LLeMbas-CLI/releases/latest/download/get.sh | bash ``` Or download a binary from [Releases](https://github.com/LLeMbas/LLeMbas-CLI/releases). Every release's `SHA256SUMS` is signed with the release key, and `get.sh` checks the signature and the checksum before installing anything ([SECURITY.md](SECURITY.md) shows how to check by hand). ## First steps ```sh cd your-project && lembas # the TUI lembas login https://your-server # sign in to a LLeMbas server and use its models ``` Without a server, add a connection to `~/.config/lembas/connections.yaml` and set `model:` in `~/.config/lembas/config.yaml`. `lembas` updates itself (`lembas update` does it now); `lembas uninstall` removes it, and `--purge` takes settings and sessions too. ## Links - Documentation: and - Changelog: - The server: ## Licence MIT — see [LICENSE](LICENSE) and [THIRD_PARTY.md](THIRD_PARTY.md).