An open-source framework for building autonomous AI agents that interact with the real world through tools and memory.
Open‑source adaptive LLM framework for building, training & deploying autonomous language agents.
Open‑source experimental SDK for lightweight multi‑agent orchestration via instructions and handoffs.
Open-source zero-code LLM framework to create and deploy multi-agent workflows via natural language.
Open‑source VLM agent to control computer GUIs via mouse/keyboard planning and execution.
Open-source multi-agent LLM framework for end-to-end automated machine learning pipelines.
Open‑source multi‑agent framework with drag‑and‑drop UI, distributed execution, tool calls, and fault tolerance.
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Open‑source platform to connect LLMs with MCP servers and build custom AI agents with tool access.
Open‑source coding LLM optimized for automated debugging and issue resolution tasks.
Open‑source large‑scale reasoning model with 1 million token context and hybrid Mixture‑of‑Experts architecture.
An open‑source vector database and embeddings engine for building retrieval‑augmented AI applications.