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Lightweight, modular open-source Python framework for building agentic AI pipelines from atomic, composable components (agents, tools, context providers), built on Instructor and Pydantic.

Hugging Face Python agent library for CodeAgent and ToolCallingAgent workflows, where agents write Python actions, call tools, use MCP tool collections, connect to Hub tools and spaces, run with LiteLLM or local models, and use optional sandboxes.

Apache-2.0 library for parameter-efficient fine-tuning of large pretrained models with adapters, LoRA, prompt tuning, Transformers, Diffusers, and Accelerate.

Clean, performance-optimized statusline with Powerline glyphs showing model, directory, and token count

Lightweight open-source serving framework for building custom AI model inference APIs by defining a LitAPI with setup and predict methods, with batching, streaming, multi-GPU autoscaling, OpenAI-compatible endpoints, and support for compound, multimodal, RAG, and agent pipelines.

Lightweight, open-source coding agent from OpenAI that runs in your terminal, edits and runs code locally with configurable sandbox and approval modes, and authenticates with a ChatGPT plan or API key.

Lightweight Go MCP gateway that turns existing MCP servers and REST APIs into managed SSE or Streamable HTTP MCP endpoints through configuration.

Open-source CLI and web ecosystem for recording, replaying, live streaming, sharing, and embedding terminal sessions as lightweight asciicast files.

MIT-licensed C/C++ LLM inference runtime for running GGUF models locally or through a lightweight OpenAI-compatible llama-server.