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agents-towards-production MCP Server

NirDiamant/agents-towards-production

Score: 88.0 Rank #500 Agent Framework
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End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

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Overview

NirDiamant/agents-towards-production is a Jupyter Notebook tool. End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment. Topics: agent, agent-framework, agents, ai-agents, genai, generative-ai, llm, llms, mlops, production, tutorials, deployment, langgraph, python, agentic-ai, mcp, multi-agent-systems, observability, rag.

Ranked #500 out of 24840 indexed tools.

In the top 3% of all indexed tools.

Has 21,489 GitHub stars.

Has 27 contributors.

Actively maintained with commits in the last week.

Ecosystem

Jupyter Notebook NOASSERTION
agentagent-frameworkagentsai-agentsgenaigenerative-aillmllmsmlopsproductiontutorialsdeploymentlanggraphpythonagentic-aimcpmulti-agent-systemsobservabilityrag

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 21,489

21,489 stars → extremely popular

Freshness 25% 4d ago

Last commit 4d ago → actively maintained

Issue Health 25% 79%

19/24 issues closed → decent issue management

Contributors 10% 27

27 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 2,852
Description Good
License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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From the README

<div align="center">

# Agents Towards Production

### _The open-source playbook for turning AI agents into real-world products._

**Agents Towards Production is your go‑to resource for building production‑ready GenAI agents that scale from prototype to enterprise.** Tutorials cover stateful workflows, vector memory, real‑time web search APIs, Docker deployment, FastAPI endpoints, security guardrails, GPU scaling, browser automation, fine‑tuning, multi‑agent coordination, observability, evaluation, and UI development.

### ⭐ **If you find value in this project, PLEASE STAR IT to help others discover these tutorials!** 

</div>

---

<h2 align="center">🎓 From prototype to production, as a method</h2>

<div align="center">

**[Prompt to Production](https://europe-west1-rag-techniques-views-tracker.cloudfunctions.net/rag-techniques-tracker?notebook=agents-towards-production--readme&click=course-free-module-cta&target=https%3A%2F%2Fwww.diamant-ai.com%2Fcourses%3Futm_source%3Dgithub%26utm_
Read full README on GitHub →

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