Temporal vs CrewAI

Temporal

CrewAI

Temporal · 16 features

• Activities — Retryable units of work.
• Activity Retries — Declarative retry policies.
• Child Workflows — Nested workflow composition.
• Continue-As-New — Close + restart workflow to prune history.
• Nexus (cross-namespace) — Call workflows across namespaces/teams.
• Queries — Synchronous read of workflow state.
• Saga / Compensations — Rollback pattern via compensating activities.
• Schedules — Cron-like recurring workflows.
• Self-Host — Deploy cluster on your infra.
• Signals — Async messages into a running workflow.
• Timers — Durable sleeps — hours, days, months.
• Update — Synchronous RPC into workflow with validation.
• Visibility + Search Attrs — Query workflow state via Elasticsearch/native store.
• Web UI — Inspect workflow history, events, stack.
• Workflows — Durable, replayable, long-running functions.
• Workflow Versioning — Patch workflow code without breaking in-flight runs.

CrewAI · 11 features

• CrewAI Enterprise UI — Managed cloud for deploying + monitoring crews.
• Hierarchical Process — Manager agent delegates to workers.
• Human Input — human_input=True pauses for human review/approval.
• MCP Tool Support — Consume MCP servers as Agent tools.
• Memory — Short-term, long-term, entity memory per Crew/Agent.
• Observability Integrations — Langfuse, LangSmith, AgentOps, OpenLIT.
• Planning Feature — Optional planner agent that plans before task execution.
• Task Guardrails — Validate task output + retry with feedback.
• Testing — Test Crews deterministically with eval metrics.
• Tools — 70+ pre-built tools (search, scrape, file, vision, code exec).
• Training — Train agents from feedback loops.