agents vs Haystack
Side-by-side comparison of two AI agent tools
Short answer
- agents is growing faster: +1,352 GitHub stars in the last 30 days vs +318 for Haystack.
- Pick agents for: a framework for building realtime voice AI agents. Pick Haystack for: open-source AI orchestration framework for modular RAG pipelines and agent workflows.
From GitHub data refreshed daily.
agentsopen-source
A framework for building realtime voice AI agents π€ποΈπΉ
Haystackopen-source
Open-source AI orchestration framework for modular RAG pipelines and agent workflows
Metrics
| agents | Haystack | |
|---|---|---|
| Stars | 14.5k | 26.6k |
| Star velocity /mo | 1.4k | 317.8421052631579 |
| Commits (90d) | 532 | 768 |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | β | 539.6K |
| Overall score | 0.849107226184685 | 0.7901810278193188 |
Pros
- +Comprehensive multi-modal capabilities with flexible integrations for STT, LLM, TTS, and Realtime APIs in a single framework
- +Built-in telephony integration allows agents to make and receive phone calls through LiveKit's telephony stack
- +Advanced semantic turn detection using transformer models helps reduce interruptions and improve conversation flow
- +Production-ready architecture with robust testing and type safety (Mypy, comprehensive test coverage)
- +Modular pipeline design allows for flexible composition and customization of AI workflows
- +Strong community adoption with 24,000+ GitHub stars and active development by deepset
Cons
- -Requires server infrastructure and technical expertise to deploy and maintain realtime voice agents
- -Complex setup with multiple integration points may have a steep learning curve for newcomers
- -Real-time voice processing demands significant computational resources and low-latency networking
- -Learning curve may be steep for developers new to AI orchestration frameworks
- -Complexity might be overkill for simple LLM integration use cases
Use Cases
- β’Customer service automation with voice-enabled agents that can handle phone calls and web-based interactions
- β’Virtual assistants for healthcare or education that need to see, hear, and respond in real-time conversations
- β’Interactive voice response (IVR) systems that integrate with existing telephony infrastructure for business applications
- β’Building production RAG systems with sophisticated document retrieval and context management
- β’Creating AI agent workflows with explicit control over routing and decision-making processes
- β’Developing modular AI pipelines that require custom retrieval and context engineering components
FAQ
- Which is more popular, agents or Haystack?
- Haystack has more GitHub stars (26,646 vs 14,454).
- Which is more actively developed, agents or Haystack?
- Haystack had more commits in the last 90 days (768 vs 532).
- Should I use agents or Haystack?
- 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.