agents vs OpenAGI
Side-by-side comparison of two AI agent tools
Short answer
- OpenAGI has had no commit in 22 months; agents is actively maintained (532 commits in the last 90 days).
- agents is growing faster: +1,352 GitHub stars in the last 30 days vs +5 for OpenAGI.
- Pick agents for: a framework for building realtime voice AI agents. Pick OpenAGI for: openAGI: When LLM Meets Domain Experts.
From GitHub data refreshed daily.
agentsopen-source
A framework for building realtime voice AI agents π€ποΈπΉ
OpenAGIopen-source
OpenAGI: When LLM Meets Domain Experts
Metrics
| agents | OpenAGI | |
|---|---|---|
| Stars | 14.5k | 2.3k |
| Star velocity /mo | 1.4k | 5.210526315789474 |
| Commits (90d) | 532 | 0 |
| Releases (6m) | 10 | 0 |
| Downloads (30d, npm + PyPI) | β | 62 |
| Overall score | 0.849107226184685 | 0.1825190616086469 |
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
- +Research-backed framework with peer-reviewed methodology published in NeurIPS 2023
- +Structured agent sharing ecosystem with upload/download functionality for community collaboration
- +Built-in external tool integration system allowing agents to leverage specialized capabilities
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
- -Requires migration to Cerebrum SDK for full AIOS integration, suggesting the main package may have limited standalone utility
- -Rigid folder structure requirements that may limit flexibility in agent organization
- -Heavy dependency on AIOS ecosystem for optimal functionality
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 domain-specific expert agents for AIOS deployment in specialized fields like research or analysis
- β’Creating and sharing custom AI agents with the research community through the built-in marketplace
- β’Developing modular agents that leverage external tools for complex multi-step workflows
FAQ
- Which is more popular, agents or OpenAGI?
- agents has more GitHub stars (14,454 vs 2,287).
- Which is more actively developed, agents or OpenAGI?
- agents had more commits in the last 90 days (532 vs 0).
- Should I use agents or OpenAGI?
- 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.