agents-towards-production
Agents Towards Production is an open-source playbook of runnable tutorials for turning GenAI agents into real products. It is organised around the building blocks of an agent stack: orchestration, memory, tool integration, data processing, RAG and knowledge management, observability, security and deployment. Each tutorial sits in its own folder with ready-to-run notebooks or code.
Examples in the README include secure tool calling with OAuth2 and human-in-the-loop approvals (Arcade), web data collection and real-time web search for agents (Bright Data, Tavily), production RAG on a managed platform (Contextual AI), dual short- and long-term memory with semantic search (Redis), self-improving memory (Mem0) and knowledge-graph memory (Cognee), and managed deployment on AWS Bedrock AgentCore. Several tutorials are contributed by the vendors themselves, and the README lists tutorial and general sponsors and a newsletter.
Features
Why choose it
Trade-offs
Maintenance check
- Last commit
- 2026-10-22
- Commits, last 90 days
- 23
- Releases, last 90 days
- 0
- Latest release
- —
- Open issues
- 5
- Recent issues with at least one comment
- 13/15
Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.
Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.
Compatibility
Quick start
Use cases
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