TL;DR
A public GitHub repository collects real-world agentic AI design patterns—repeatable workflows, tool integrations and mini-architectures used to make autonomous or semi-autonomous agents reliable in production. The project catalogs patterns across categories, accepts community contributions via PRs, and is released under an Apache-2.0 license.
What happened
A community-maintained GitHub project titled "Awesome Agentic Patterns" has been assembled to gather practical patterns used to build autonomous and semi-autonomous AI agents. The repository organizes patterns into topical categories—Orchestration & Control, Context & Memory, Feedback Loops, Tool Use & Environment, UX & Collaboration, and Reliability & Eval—each populated with repeatable techniques such as sub-agent spawning, episodic memory retrieval, CI feedback loops, and sandboxing tricks. Inclusion requires that a pattern is used by multiple teams, is agent-centric, and has a public reference (blog post, talk, repo or paper). The repo is actively developed: recent commits added patterns drawn from Anthropic and Claude Code materials, and the README notes the project grew from prior write-ups and a video diary. Contribution is via fork, new pattern file under patterns/, and a pull request; the site auto-regenerates from the patterns folder. The project is published under Apache-2.0.
Why it matters
- Surfaces repeatable, production-oriented practices that go beyond toy demos and academic examples.
- Provides a traceable, citation-backed set of patterns teams can adopt or adapt when building agentic systems.
- Helps standardize solutions across categories such as memory management, orchestration, and safety.
- Supports collaborative improvement through an open contribution workflow and automated site regeneration.
Key facts
- Repository: nibzard/awesome-agentic-patterns on GitHub (public).
- Stars and forks visible in the repo header: 578 stars and 57 forks (as shown in the source).
- License: Apache-2.0.
- Pattern inclusion criteria: repeatable, agent-centric, and traceable to a public reference.
- Categories include Orchestration & Control, Context & Memory, Feedback Loops, Tool Use & Environment, UX & Collaboration, and Reliability & Eval.
- Examples of listed patterns: Episodic Memory Retrieval & Injection, Plan-Then-Execute, Reflection Loop, Dual LLM Pattern, and Egress Lockdown.
- Site content (tables) is generated automatically from the patterns/ folder; contributions follow a fork → add pattern → open PR flow.
- Project credits inspirations from a Sourcegraph write-up (28 May 2025) and the Raising an Agent video diary.
What to watch next
- New pattern submissions via community pull requests and periodic updates to the patterns/ index (confirmed in the source).
- Ongoing additions drawn from vendor write-ups and builder interviews, as seen with recent Claude and Anthropic-derived patterns (confirmed in the source).
- Broader industry adoption, governance models for pattern vetting, or formal standardization of agentic patterns: not confirmed in the source.
Quick glossary
- Agentic AI: Systems that can sense, reason, and act autonomously or semi-autonomously to carry out tasks.
- Pattern: A repeatable solution or workflow addressing a common technical or design problem.
- Episodic Memory: A memory mechanism that stores past interactions or events for later retrieval to inform agent behavior.
- Orchestration: Coordinating components, sub-agents, or tools to execute multi-step tasks reliably.
- CI (Continuous Integration): Automated processes that build, test, and validate code changes as part of a development pipeline.
Reader FAQ
How do I contribute a new pattern?
Fork the repo, create a branch, add a pattern file under patterns/ using the template, and open a pull request titled Add: my-pattern-name (confirmed in the source).
What are the inclusion requirements for a pattern?
A pattern must be repeatable (used by more than one team), agent-centric, and traceable to a public reference (confirmed in the source).
What license governs the repository?
The project is released under the Apache-2.0 license (confirmed in the source).
Is the repo a collection of production-ready code?
not confirmed in the source
Awesome Agentic Patterns A curated catalogue of agentic AI patterns — real‑world tricks, workflows, and mini‑architectures that help autonomous or semi‑autonomous AI agents get useful work done in production. Why?…
Sources
- Agentic Patterns
- Agent design pattern catalogue: A collection of …
- Agentic Patterns and Implementation with Agentforce
- Agent Design Pattern Catalogue: A Collection of …
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