Github ReposUpdated 7h agoRank 70
AionUi
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
MCPOPENCLAW
Crawler Summary
agentic-architecture-patterns answer-first brief
Reference architectures for agentic AI: ReAct, Plan-Execute, Multi-Agent, HITL, RAG — implemented in Strands, LangGraph, and CrewAI Agentic Architecture Patterns A reference architecture collection demonstrating agentic AI design patterns implemented across **Strands Agents SDK**, **LangGraph**, and **CrewAI**. Built for architects and engineers evaluating agent frameworks and patterns. Patterns | # | Pattern | Description | Best For | |---|---------|-------------|----------| | 01 | $1 | Reasoning + Acting loop with tool use | General-purpose too Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
agentic-architecture-patterns is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB REPOS, runtime-metrics, public facts pack
Agent DossierGITHUB REPOSSafety: 66/100
agentic-architecture-patterns
Reference architectures for agentic AI: ReAct, Plan-Execute, Multi-Agent, HITL, RAG — implemented in Strands, LangGraph, and CrewAI Agentic Architecture Patterns A reference architecture collection demonstrating agentic AI design patterns implemented across **Strands Agents SDK**, **LangGraph**, and **CrewAI**. Built for architects and engineers evaluating agent frameworks and patterns. Patterns | # | Pattern | Description | Best For | |---|---------|-------------|----------| | 01 | $1 | Reasoning + Acting loop with tool use | General-purpose too
OpenClawself-declared
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Verifiededitorial-contentNo verified compatibility signals
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust evidence available
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Hasanmehdirizvi
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Setup snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Evidence Ledger
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor (1)
Vendor
Hasanmehdirizvi
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
2
Snippets
0
Languages
python
Executable Examples
bash
pip install -r requirements.txt # Set up AWS credentials for Strands (uses Bedrock) export AWS_PROFILE=bedrock export AWS_REGION=us-west-2 # Set up OpenAI key for LangGraph/CrewAI examples export OPENAI_API_KEY=your-key-here
text
agentic-architecture-patterns/ ├── patterns/ │ ├── 01-react/ # ReAct pattern │ ├── 02-plan-and-execute/ # Plan-and-Execute pattern │ ├── 03-multi-agent-supervisor/ # Supervisor pattern │ ├── 04-human-in-the-loop/ # HITL pattern │ └── 05-rag-agent/ # RAG-augmented agent ├── docs/ │ ├── framework-comparison.md │ └── decision-tree.md ├── requirements.txt └── README.md
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Reference architectures for agentic AI: ReAct, Plan-Execute, Multi-Agent, HITL, RAG — implemented in Strands, LangGraph, and CrewAI Agentic Architecture Patterns A reference architecture collection demonstrating agentic AI design patterns implemented across **Strands Agents SDK**, **LangGraph**, and **CrewAI**. Built for architects and engineers evaluating agent frameworks and patterns. Patterns | # | Pattern | Description | Best For | |---|---------|-------------|----------| | 01 | $1 | Reasoning + Acting loop with tool use | General-purpose too
Full README
Agentic Architecture Patterns
A reference architecture collection demonstrating agentic AI design patterns implemented across Strands Agents SDK, LangGraph, and CrewAI. Built for architects and engineers evaluating agent frameworks and patterns.
Patterns
| # | Pattern | Description | Best For | |---|---------|-------------|----------| | 01 | ReAct | Reasoning + Acting loop with tool use | General-purpose tool-using agents | | 02 | Plan-and-Execute | Separate planning from execution | Complex multi-step tasks | | 03 | Multi-Agent Supervisor | Supervisor delegates to specialist agents | Domain-diverse workloads | | 04 | Human-in-the-Loop | Agent pauses for human approval | High-stakes decisions | | 05 | RAG Agent | Retrieval-augmented generation with agent routing | Knowledge-intensive tasks |
Framework Comparison Matrix
| Capability | Strands Agents | LangGraph | CrewAI | |------------|---------------|-----------|--------| | Paradigm | SDK/imperative | Graph-based state machine | Declarative role-based | | Orchestration | Agent loop with tools | Nodes + edges + state | Crew with process type | | State Management | Conversation context | Explicit TypedDict state | Shared crew memory | | Human-in-the-Loop | Custom tool pattern | First-class interrupt | Human input tool | | Multi-Agent | Agent-as-tool composition | Supervisor/swarm graphs | Crew with manager | | Streaming | Built-in event hooks | Stream modes (values/updates) | Callback handlers | | Persistence | Custom implementation | Checkpointer (SQLite/Postgres) | Built-in memory types | | Best For | AWS-native, Bedrock-first apps | Complex stateful workflows | Rapid prototyping, role-play agents |
Architecture Decision Records
See docs/decision-tree.md for guidance on selecting the right pattern and framework for your use case.
See docs/framework-comparison.md for detailed trade-off analysis.
Getting Started
pip install -r requirements.txt
# Set up AWS credentials for Strands (uses Bedrock)
export AWS_PROFILE=bedrock
export AWS_REGION=us-west-2
# Set up OpenAI key for LangGraph/CrewAI examples
export OPENAI_API_KEY=your-key-here
Project Structure
agentic-architecture-patterns/
├── patterns/
│ ├── 01-react/ # ReAct pattern
│ ├── 02-plan-and-execute/ # Plan-and-Execute pattern
│ ├── 03-multi-agent-supervisor/ # Supervisor pattern
│ ├── 04-human-in-the-loop/ # HITL pattern
│ └── 05-rag-agent/ # RAG-augmented agent
├── docs/
│ ├── framework-comparison.md
│ └── decision-tree.md
├── requirements.txt
└── README.md
License
MIT
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
OpenClaw: self-declared
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-hasanmehdirizvi-agentic-architecture-patterns/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-hasanmehdirizvi-agentic-architecture-patterns/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-hasanmehdirizvi-agentic-architecture-patterns/trust"
Reliability & Benchmarks
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.
Media & Demo
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
No screenshots, media assets, or demo links are available.
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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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Machine Appendix
Contract JSON
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