Observability and analytics platform for AI agents — session replays, LLM cost tracking, compliance
Key Features
Multi-Agent
Single Agent
Human-in-the-Loop
Streaming
Async Support
Type Safe
Short-Term Memory
Long-Term Memory
Shared Memory
Plugin System
Custom Tools
MCP Protocol
A2A Protocol
Code Execution
Web Browsing
File System Access
Sandboxing
Guardrails
Structured Output
DAG Workflows
Visual Builder
CLI
API Server
Self-Hosted
Cloud Hosted
AgentOps Details
| Organization | AgentOps AI |
| Organization Type | Company |
| Category | Platform |
| Subcategory | Observability |
| Deployment | Hybrid |
| Primary Language | Python |
| License | MIT |
| Commercial Use | Unrestricted |
| GitHub Stars | 5,300 |
| GitHub Forks | 551 |
| Maturity | Stable |
| Pricing Model | Freemium |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Large |
| Community Activity | Active |
| Sentiment | Positive |
| GPU Required | No |
| Confidence | Medium |
| Research Date | 2026-03-24 |
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260324