npcpy

NVIDIA-labs Object Oriented Agents (NOOA) is a model-agnostic Python framework for building AI agents as ordinary Python objects. A single agent class combines typed state, capabilities, prompts, and interfaces: fields represent state, methods represent capabilities, docstrings provide prompts, and type annotations define contracts. Methods with an ellipsis body become LLM-driven agentic loops, while methods with ordinary bodies remain deterministic Python. The runtime lets a model act by writing Python in a Jupyter-style REPL with access to the agent object, imports, and helper functions. It supports typed inputs and outputs with automatic retries, live-object arguments passed by reference, and model-callable context and event APIs, and can use hosted or local models through LiteLLM-supported providers. The core framework is distributed as the `nooa` Python package through PyPI or the project repository. Separate packages or extras provide a CLI and trace viewer, Agent Client Protocol support, long-term memory, benchmarking, and evaluation tooling. NOOA is research software whose agents may execute LLM-generated code; its AST checks and module deny-lists are defense-in-depth guardrails rather than a containment boundary, so the documentation recommends running such agents in an OS-level sandbox such as a container, virtual machine, or NVIDIA OpenShell.

mcptoon is a cross-agent Model Context Protocol (MCP) management CLI that gives agents access to configured MCP servers through ordinary command-line calls, rather than loading large tool catalogs into their context. It discovers existing server configurations, maintains ~/.mcptoon/config.json as a single source of truth, synchronizes that configuration across agents, serves a tool-name manifest on demand, and composes a single-entry proxy for MCP access. Tools are launched when invoked, and the project supports native MCP JSON, structured output, optional TOON compression, and envelope passthrough; the videos also describe output checks for prompt injection and credential leaks. The project is distributed as a Python package for Python 3.10+ and is described as using only the standard library, with no third-party dependencies. Its repository documents compatibility with agents including Claude Code, Cursor, and Codex, and provides commands such as `quickstart`, `demo`, and `call`. It is free and open source under the Apache-2.0 license.

Pipecat is an open-source Python framework maintained by Daily and the community for building real-time voice and multimodal conversational agents. It orchestrates audio and video, transports such as WebSockets and WebRTC, speech recognition and text-to-speech services, speech preprocessing, turn detection, model calls, tool calls, and streamed audio through composable conversation pipelines. Pipelines can operate as single agents or as multi-agent systems whose specialists hand off, fan out in parallel, or coordinate over a shared bus locally or across processes and machines. The project also provides a CLI for scaffolding, monitoring, and deploying agents, along with client SDKs and related tools for structured conversations and pipeline debugging.