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AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.
Agent Mesh
The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all mainstream communication channels seamlessly out of the box, production ready from day one.
MCP server and Python SDK that generates, runs and refines AI agent workflows from natural language (Generative Workflow, A2A, FastAPI).
An agentic runtime
Portable AI agent runtime for the JVM. One @Agent class runs on Spring AI, LangChain4j, Anthropic, or 9 more behind one SPI. Token streaming, tool calls, human approvals, and governance over WebSocket, SSE, gRPC, or WebTransport/HTTP3. Speaks MCP, A2A, and AG-UI.
Agentic Chain (AGNT): a chain for agents, built on BNB Smart Chain. Entry needs an ERC-8004 identity. Genesis carries three system contracts and three neutral tools (Multicall3, a CREATE2 deployer, Wrapped AGNT); every token, pool and market beyond that is deployed by an agent. Pre-launch. Not affiliated with Binance or BNB Chain.
Kotlin Compose AI Elements: chat UI elements and agent toolkit on open protocols (AI SDK, AG-UI, MCP, A2A, A2UI, MCP Apps)
The open standard for agent coordination
Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.
The .NET library to build AI agents with 30+ built-in connectors.