Harnesses & SDKs

Python framework for multi-agent applications where agents with defined roles talk through explicit flows, built on the OpenAI Agents SDK.

Elixir framework for autonomous agents with state, actions, signals and directives, running on OTP supervision.

PHP library for generative AI and vector databases, compatible with Symfony and Laravel, with typed classification.

Open-source platform for voice agents that place and answer phone calls through Twilio or Plivo with pluggable speech and LLM providers.

Open framework for building and hosting production-grade AI agents and multi-agent workflows in .NET and Python.

Python framework for agents that discover MCP tools by themselves, with optional memory, guardrails, cache and tracing.

Python and TypeScript SDK that lets an agent message people on email, Slack, Discord, Telegram and other channels through one handler.

Python toolkit for Vietnamese NLP with a multi-provider agent module that calls LLM APIs using only the standard library.

Python interface for running and evaluating agents from several frameworks, with OpenTelemetry traces; now in soft deprecation.

SDK for building Microsoft Teams apps and AI agents in TypeScript, C# and Python, with a CLI that scaffolds new agents.

Library for LLM post-training (SFT, DPO, GRPO and agentic RL) and classic RL, with evolutionary hyperparameter optimization.

Open-source online code execution system that runs submitted code in a sandbox behind an HTTP JSON API.

Python SDK for building agents on Volcengine AgentKit, with a bundled Web UI, Studio deployment and short- and long-term memory.

YAML-driven Python robot simulator for navigation, control and learning research, with collision detection and a Matplotlib renderer.

Lightweight Python agent framework for long-running tasks, with skills, sub-agents, A2A and ACP servers, and CLI, TUI and web front ends.

Rust multi-agent framework with typed tool calling, sliding-window memory, pluggable LLM backends and OpenTelemetry tracing.

Event-sourced Python graph runtime where agent behaviors react to a shared graph, with an audit trail and fork-and-diff replay.

Open-source NVIDIA library that connects existing agents to tools and data, with profiling and LangSmith tracing; deprecated, EOL end of 2026.

Cross-platform C++ DAG framework with a Python version, for running task graphs with no third-party dependencies.

Reinforcement-learning trainer of about 3,500 lines that trains models behind agents run in their own harnesses, locally or as Kubernetes jobs.

TypeScript library that lets agents call MCP and UTCP tools by running model-written code in a sandbox.

Go framework for AI agents with memory, tool execution, MCP, agent skills, multi-agent patterns and evaluation.

Python framework for customer-facing conversational agents that narrows the prompt context each turn using rules, knowledge and tools you define.

Typed Python toolkit for composing classic and agentic retrieval-augmented generation pipelines with pluggable LLMs and stores.