⚡ tokenloop

A lightweight, modular, model-agnostic agent loop and token-streaming framework designed for maximum performance and zero bloat.

Features

• Modular Execution Loop
  A clean, unopinionated event loop built on the Unix philosophy. Step through prompts, model inferences, and tool executions predictably without heavy state abstractions.

• Model-Agnostic Provider Support
  Bring your own provider. Seamlessly switch between local models, cloud APIs, or custom backends with zero code refactoring.

• Skills Support Add Local Skills with Validation tokenloops responsibilty

• First-Class Tool Calling
  Effortlessly register native functions or structured Python/Rust/Go methods as executable agent tools with automatic schema generation.

• Model Context Protocol (MCP) Integration
  Out-of-the-box client support for MCP servers, allowing your agents to dynamically discover and consume external resources and tools.

• Human-in-the-Loop (HITL) Checkpoints
  Inject asynchronous approval hooks before executing critical or sensitive tool calls, ensuring absolute safety and human oversight.

• Intelligent Context Compression
  Built-in utilities to prune, summarize, and compress long conversation histories to keep token windows tight and latency low.

• AGUI & Real-Time Token Streaming
  First-class support for streaming tokens and structured UI events simultaneously, powering responsive agent-driven user interfaces.

• Multi-Language Ergonomics
  Consistent, idiomatic APIs available natively across Python, Rust, Go, and Node.js.

• Zero Bloat Architecture
  Extremely lightweight core footprint with zero unnecessary dependencies, giving you total control over performance.