@DanKornas: Agent demos are easy. The production stack is the messy part. Awesome Production Agentic Systems is a curated GitHub li…

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A curated GitHub list of open-source libraries for deploying, monitoring, scaling, and securing production agentic systems, organizing the ecosystem into practical sections.

Agent demos are easy. The production stack is the messy part. Awesome Production Agentic Systems is a curated GitHub list of open-source libraries for deploying, monitoring, versioning, scaling, and securing production agentic systems and applications. It helps you move past random agent tutorials by grouping the ecosystem into practical sections you can scan when choosing frameworks, observability tools, protocols, memory layers, security tooling, prompt-engineering resources, and interfaces. Key features: • Agentic frameworks – browse libraries such as ADK, AutoGen, LangGraph, CrewAI, OpenAI Agents SDK, PydanticAI, and more • Observability tools – find projects for monitoring, evaluation, behavior judging, cost tracking, token tracking, and performance visibility • Protocols and interoperability – includes agent communication/client protocols like A2A, ACP, AgentAPI, agents.json, ANP, AP2, and MCP-related tooling • Production concerns beyond frameworks – separate sections cover memory management, agent security, prompt engineering, and agent interfaces • Update/contribution path – README points readers to watch repo releases for monthly additions and submit PRs via CONTRIBUTING.md It’s open-source (MIT license). Link in the reply
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Cached at: 05/25/26, 12:51 PM

Agent demos are easy. The production stack is the messy part.

Awesome Production Agentic Systems is a curated GitHub list of open-source libraries for deploying, monitoring, versioning, scaling, and securing production agentic systems and applications.

It helps you move past random agent tutorials by grouping the ecosystem into practical sections you can scan when choosing frameworks, observability tools, protocols, memory layers, security tooling, prompt-engineering resources, and interfaces.

Key features:

• Agentic frameworks – browse libraries such as ADK, AutoGen, LangGraph, CrewAI, OpenAI Agents SDK, PydanticAI, and more • Observability tools – find projects for monitoring, evaluation, behavior judging, cost tracking, token tracking, and performance visibility • Protocols and interoperability – includes agent communication/client protocols like A2A, ACP, AgentAPI, agents.json, ANP, AP2, and MCP-related tooling • Production concerns beyond frameworks – separate sections cover memory management, agent security, prompt engineering, and agent interfaces • Update/contribution path – README points readers to watch repo releases for monthly additions and submit PRs via CONTRIBUTING.md

It’s open-source (MIT license).

Link in the reply

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