Use Cases
Golem simplifies building reliable, stateful agents by providing built-in durability, state persistence, and exactly-once guarantees — without infrastructure overhead. Explore how developers leverage Golem across common agent patterns
Conversational & Autonomous Agents
Challenges
Maintain uninterrupted user context
Preserve conversational state seamlessly across sessions
Golem Advantage
Built-in state persistence without external databases uninterrupted user context
Automatic state recovery after failures or restarts
Example: Conversational AI Assistant
1class CustomerSupportAgent:
2 def __init__(self):
3 # State automatically persisted
4 self.conversation_history = []
5
6 async def respond(self, user_id, message):
7 context = self.conversation_history[-5:] if self.conversation_history else []
8
9 # External calls automatically retried on failure
10 response = await llm.generate_response(message, context=context)
11
12 # State persisted automatically
13 self.conversation_history.append({
14 "user": user_id,
15 "message": message,
16 "response": response
17 })
18
19 return responseMulti-Agent Collaboration
Challenges
Coordinate specialized agents reliably
Ensure tasks aren't duplicated or lost
Golem Advantage
Exactly-once agent-to-agent communication
Seamless recovery of complex multi-agent workflows
Example: Collaborative Research Coordinator
1class ResearchCoordinatorAgent:
2 def __init__(self):
3 # Automatically persisted
4 self.research_tasks = {}
5
6 async def conduct_research(self, topic):
7 task_id = generate_unique_id()
8
9 # Exactly-once calls to other agents
10 search_results = await search_agent.query(topic)
11 analysis = await analyst_agent.analyze(search_results)
12 report = await writing_agent.generate_report(analysis)
13
14 # State automatically preserved
15 self.research_tasks[task_id] = {
16 "topic": topic,
17 "status": "completed",
18 "report_id": report.id
19 }
20
21 return reportReliable Workflow Automation
Challenges
Reliably execute long-running workflows
Prevent task duplication during infrastructure failures
Golem Advantage
Automatic state persistence and recovery
Exactly-once execution guarantees for all workflow steps
Example: Approval Workflow Automation
1class ApprovalWorkflowAgent:
2 def __init__(self):
3 # Automatically persisted workflow state
4 self.workflows = {}
5
6 async def execute_workflow(self, document_id, approvers):
7 workflow = {
8 "document_id": document_id,
9 "approvers": approvers,
10 "status": "pending",
11 "approvals": []
12 }
13 self.workflows[document_id] = workflow
14
15 # Exactly-once notification guarantee
16 await notification_agent.notify(approvers[0], document_id)
17
18 # Workflow state automatically persisted
19 return workflowData Processing Pipelines
Challenges
Ensure exactly-once data processing
Handle unpredictable data volumes reliably
Golem Advantage
Automatic retries and exactly-once guarantees
Automatic scaling and resource optimization
Example: Document Processing Agent
1class DocumentProcessor:
2 def __init__(self):
3 self.processed_docs = set()
4 self.results = {}
5
6 async def process(self, doc_id, content):
7 # Avoid duplicate processing
8 if doc_id in self.processed_docs:
9 return self.results[doc_id]
10
11 # External API calls automatically retried
12 data = await extraction_service.extract(content)
13 enriched = await enrichment_service.enrich(data)
14
15 # Automatically persisted state
16 self.results[doc_id] = enriched
17 self.processed_docs.add(doc_id)
18
19 return enrichedScheduled & Event-Driven Tasks
Challenges
Reliably execute periodic or event-triggered tasks
Maintain execution state across disruptions
Golem Advantage
Exactly-once execution guarantees
Automatic task resumption after failures
Example: Daily Data Synchronization
1class DailySyncAgent:
2 def __init__(self):
3 self.last_sync = None
4
5 async def daily_sync(self):
6 new_records = await api.get_records_since(self.last_sync)
7
8 # Auto-retried external operations
9 for record in new_records:
10 await warehouse.store(record)
11
12 # Automatically persisted state
13 self.last_sync = current_timestamp()
14
15 return {"processed": len(new_records)}AI Integration & Tools
Challenges
Reliably integrate external AI tools and APIs
Handle high-throughput, stateful operations
Golem Advantage
APIs benefit from built-in durability and exactly-once guarantees
Automatic scaling, suspending services when idle
Example: Agent Calling Durable AI Tool
1class AnalysisAgent:
2 async def analyze(self, query):
3 # Calls a durable AI tool (also running on Golem)
4 # Automatic retries, exactly-once semantics
5 results = await ai_tool.run_analysis(query)
6
7 # Process results reliably
8 insights = self.extract_insights(results)
9
10 return insightsDurable AI Tools & API Services
Challenges
Ensure AI tools and APIs are fault-tolerant
Handle high-throughput, stateful operations
Golem Advantage
APIs benefit from built-in durability and exactly-once guarantees
Automatic scaling, suspending services when idle
Example: Daily Data Synchronization
1class EntityExtractionService:
2 def __init__(self):
3 self.cache = {}
4
5 async def extract_entities(self, doc_id, text):
6 # Exactly-once guarantee, even across failures
7 if doc_id in self.cache:
8 return self.cache[doc_id]
9
10 entities = extract_entities_from_text(text)
11 self.cache[doc_id] = entities
12
13 return entities
