Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source platform for building AI agent networks with multi-protocol support (WebSocket, gRPC, HTTP, MCP, A2A). opensource.
An Open Platform for Language Agents in the Wild.
Create customized software using natural language idea (through llm-powered multi-agent collaboration).
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
An autonomous agent designed to navigate the complexities of software engineering. opensource.
Fully Autonomous Research Agent for Health Infomatics.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Visual pipeline editor and workflow orchestrator with an easy to use UI and based on Kubernetes.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
Write maintainable, production-ready pipelines. Develop locally, deploy to the cloud.
Agent Framework / shim to use Pydantic with LLMs.
An alternative to use Agentic RAG in enterprises.
An LLM-based autonomous agent controlling real-world applications via RESTful APIs.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
A streamlit app to dialog with your second brain notes using OpenAI and ChromaDB locally.
Enterprise-grade Voice AI simulation SDK for scenario-driven stress testing of multimodal and agentic systems.
Open-source Python library designed to make it extremely easy to build and run agents using just a few lines of code.
Export ML projects to Kubernetes (Argo workflows), Airflow, AWS Batch, and SLURM.