FastAgency vs Temporal
Side-by-side comparison of two AI agent tools
Short answer
- FastAgency has had no commit in 9 months; Temporal is actively maintained (574 commits in the last 90 days).
- Temporal is growing faster: +672 GitHub stars in the last 30 days vs +3 for FastAgency.
- Pick FastAgency for: the fastest way to bring multi-agent workflows to production. Pick Temporal for: temporal service.
From GitHub data refreshed daily.
FastAgencyopen-source
The fastest way to bring multi-agent workflows to production.
Temporalopen-source
Temporal service
Metrics
| FastAgency | Temporal | |
|---|---|---|
| Stars | 548 | 23.4k |
| Star velocity /mo | 2.526315789473684 | 672.3157894736843 |
| Commits (90d) | 0 | 574 |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 396 | — |
| Overall score | 0.16848510206411044 | 0.8247299329543042 |
Pros
- +Unified interface for deploying AG2 workflows to production with minimal code changes
- +Supports both web chat applications and REST API services from the same codebase
- +Built-in scaling capabilities with distributed architecture and message broker coordination
- +Automatic failure handling and retry logic eliminates complex error recovery code
- +Mature, battle-tested technology originally developed at Uber with strong reliability track record
- +Comprehensive tooling ecosystem including CLI, Web UI, and multi-language SDK support
Cons
- -Dependent on AG2 framework, limiting flexibility to other agent frameworks
- -Relatively small community with 532 GitHub stars compared to major frameworks
- -Limited documentation available in the provided materials for advanced features
- -Requires learning workflow-based programming paradigms which can have a steep learning curve
- -Additional infrastructure complexity requiring Temporal server deployment and maintenance
- -Overhead for simple applications that don't require durable execution guarantees
Use Cases
- •Deploying AG2 multi-agent chatbots as web applications for customer service or support
- •Creating REST API services that expose agent workflows for integration with existing systems
- •Building scalable distributed agent systems that coordinate across multiple servers or datacenters
- •Long-running business processes with multiple steps that need guaranteed completion
- •Microservice orchestration and coordination across distributed systems
- •Data processing pipelines requiring automatic retry and failure recovery mechanisms
FAQ
- Which is more popular, FastAgency or Temporal?
- Temporal has more GitHub stars (23,436 vs 548).
- Which is more actively developed, FastAgency or Temporal?
- Temporal had more commits in the last 90 days (574 vs 0).
- Should I use FastAgency or Temporal?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.