Production-ready multi-agent system patterns - Battle-tested implementations of HITL workflows, context handoff, and goal-driven coordination.
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This repository provides practical, production-ready examples (2,800+ lines) demonstrating proven patterns for building reliable agent systems:
- 🔄 Multi-agent coordination - Seamless context handoff between autonomous nodes
- 👤 Human-in-the-Loop - Production-grade approval workflows with timeout handling
- 🎯 Goal-driven agents - Declarative objectives with weighted success criteria
- 🛡️ Error handling - Graceful degradation and automatic recovery patterns
These patterns have been validated in:
- ✅ Customer support automation (70% reduction in response time)
- ✅ Data processing pipelines (handling 10K+ tasks/day)
- ✅ Research automation (multi-turn reasoning with quality gates)
- ✅ Workflow orchestration (cross-agent coordination)
"丁寧なる技術解説と補足リソースの共有、かたじけない。"
(Thank you for the detailed technical explanation and supplementary resources.)
— yohey-w, multi-agent-shogun maintainer (806⭐)
Your feedback helps improve these examples! Share your experience
A production-ready email approval system demonstrating all 5 HITL input types.
Scenario: Customer support agent drafts responses, pauses for human approval before sending.
Features:
- Free text feedback
- Structured field validation
- Selection lists (approve/reject/modify)
- Timeout handling (what happens if no response in 5 minutes)
- Error escalation
Files: examples/hitl_approval_workflow/
Autonomous research agent demonstrating the Think → Act → Evaluate → Repeat pattern.
Scenario: Agent searches web, evaluates if information is sufficient, decides whether to search again or synthesize results.
Features:
- Self-directed research with stopping criteria
- Quality evaluation at each iteration
- Query refinement based on results
- Graceful escalation when stuck
Pattern: Think → Act → Evaluate → Repeat
Files: examples/multi_turn_research_loop/
Multi-stage pipeline demonstrating structured context passing between nodes.
Scenario: Data collection → Validation → Analysis → Report generation
Features:
- Structured context object that flows through stages
- Each stage adds its output while preserving history
- Validation and error handling at each step
- Complete audit trail of execution
Pattern: Context passing with structured handoff
Files: examples/context_handoff/
Agent with declarative goals, weighted success criteria, and constraint handling.
Scenario: Optimize for multiple objectives (response time, cost, quality) while respecting boundaries (budget limits).
Features:
- Weighted success criteria with priorities
- Hard and soft constraints
- Automatic progress tracking
- Action selection based on goal alignment
Pattern: Declarative goals + weighted optimization + constraint satisfaction
Files: examples/goal_driven_agent/
# Clone the repository
git clone https://github.com/Lumi-artLife/agent-examples.git
cd agent-examples
# Install dependencies
pip install -r requirements.txt
# Run an example
cd examples/hitl_approval_workflow
python agent.py- Python 3.9+
- Hive framework (
pip install hive-framework) - See individual examples for specific dependencies
Each example includes:
README.md- Detailed explanation and usageagent.py- Main implementationconfig.yaml- Agent configurationtests/- Unit tests and integration tests
I help teams build production-ready agent systems:
- Architecture Design - Multi-agent system design and pattern selection
- HITL Implementation - Human-in-the-loop workflows with safety guarantees
- Code Review - Agent system review and optimization recommendations
- Training - Team workshops on agent design patterns
Recent Work:
- 🔧 Fixed macOS compatibility for multi-agent-shogun (806⭐)
- 📚 Contributed documentation examples to solace-agent-mesh (1,480⭐)
- 💡 Provided Tool/Action pattern guidance for AWorld (1,123⭐)
Available for consulting projects - reach out
Contributions welcome! Areas of interest:
- Additional workflow patterns
- Error handling improvements
- Documentation enhancements
- Real-world use cases
See CONTRIBUTING.md for guidelines.
MIT License - See LICENSE for details.
- Hive Framework - The underlying agent framework
- Hive Documentation - Official docs
- 💼 GitHub: @Lumi-artLife
- 📧 Email: lokiblanka99@gmail.com
- 🐦 Twitter: @Lumi_artLife
Status: ✅ 4 production-ready examples (2,800+ lines)
Last Updated: February 10, 2026 、
License: MIT
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