opensquilla/opensquilla

Health v2 · maintenance only

Flags: young

Adoption not part of the score

6687 stars · 528 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OpenSquilla is a token-efficient, microkernel AI agent that routes each conversation turn to the cheapest capable LLM via a local model router, with persistent memory, a layered sandbox, built-in web search, and on-device embeddings. It exposes a shared turn loop across CLI, Web UI, Desktop, and chat channels, and supports 20+ LLM providers through a pluggable provider layer.

Use cases

• run an AI agent in my terminal with lower token costs
• route tasks to cheaper LLM models automatically
• build an agent with persistent memory and web search
• connect one agent to OpenAI, Anthropic, Ollama and other providers
• use an AI assistant across CLI, web UI and chat channels
• cut LLM API costs without losing answer quality
• self-host an AI agent with a secure sandbox

When to choose

• you want to minimize LLM token spend while keeping quality
• you need one agent accessible from CLI, web, desktop, and chat channels
• you want multi-provider LLM support without changing config
• you need persistent memory, scheduling, and skills in a local agent

When to avoid

• you need a lightweight library to embed in your own app rather than a standalone agent
• you require a single fixed model with no routing overhead
• you need non-Python environments (Python 3.12+ required)

Facets

application · maturity active

agent-framework llm-inference rag mcp chatbot search-engine cli gui artificial-intelligence large-language-models developer-tools python cross-platform cli token-efficiency model-routing microkernel-agent persistent-memory multi-provider sandbox local-embeddings cost-optimization ai-agents automation desktop web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="opensquilla/opensquilla")