
San functions as a versatile agent platform that operates directly in the terminal environment. Users can switch between language models, integrate different search tools, and apply custom personas defined in markdown files. The system also accommodates skills, plugins, and subagents without requiring modifications. Built as a minimal binary around twelve megabytes in size, San achieves rapid startup and low memory usage across diverse hardware. It runs consistently on laptops, cloud instances, and constrained edge devices while maintaining compatibility with existing agent components from other frameworks. The runtime includes automatic session saving and a background process that refines memory and skills over time. This design allows the agent to improve progressively based on ongoing work without manual intervention.
San runs as a single binary in the terminal to handle coding and agent tasks with support for session persistence and automatic context management.
Users can switch between multiple LLM providers and search services at runtime using simple commands without any vendor lock-in.
The Go-based runtime deploys unchanged across laptops, cloud VMs, ARM devices, containers, and air-gapped environments for consistent agent execution.
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Our take: San is a solid coding & dev choice. It's valued for 5-8× smaller and faster than claude code on same tasks and runs anywhere as single ~12 mb binary with zero runtime dependencies. The main trade-off is terminal-only interface. A good pick if you want capable AI without a high upfront cost.
San is released under the Apache 2.0 license as an open-source project.
San is a solid coding & dev choice. It's valued for 5-8× smaller and faster than claude code on same tasks and runs anywhere as single ~12 mb binary with zero runtime dependencies. The main trade-off is terminal-only interface. A good pick if you want capable AI without a high upfront cost.
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