# AgentOS v1.14.3 8-Dimension Benchmark Report

**Date**: 2026-07-02 | **Author**: AgentOS Evaluation Framework

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## Executive Summary

AgentOS v1.14.3 leads all three competitors (LangGraph v0.2x, CrewAI v0.6x, AutoGen v0.2x) with a total score of **75.0/80**, outperforming the closest competitor LangGraph by **14.5 points**. The framework demonstrates "platform-level" maturity with native support for enterprise-critical features absent in all competitors.

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## Dimension-by-Dimension Analysis

### 1. State Management

| Aspect | AgentOS v1.14.3 | LangGraph | CrewAI | AutoGen |
|--------|-----------------|-----------|--------|---------|
| Type system | Pydantic v2 (strong) | TypedDict / Pydantic | Internal (opaque) | TypedDict / Dataclass |
| Update mechanism | 6 built-in Reducers | Channel mechanism | Task context | Message append |
| Multi-agent state | MultiAgentState | Subgraph state | None | None |
| Score | **9.5** | 9.5 | 6.0 | 7.0 |

**Winner**: Tie — AgentOS and LangGraph both lead. AgentOS has stronger typing; LangGraph has deeper channel flexibility.

### 2. MCP Protocol Compatibility

| Aspect | AgentOS v1.14.3 | LangGraph | CrewAI | AutoGen |
|--------|-----------------|-----------|--------|---------|
| Native MCP support | Yes (Sampling/Resource) | No | No | No |
| Logging/Roots | Yes | No | No | No |
| Standard compliance | Full | Custom Tool bridge | None | None |
| Score | **10.0** | 6.0 | 5.0 | 6.0 |

**Winner**: AgentOS — **sole** implementation of native MCP protocol support. Massive advantage for interoperability.

### 3. A2A Protocol Support

| Aspect | AgentOS v1.14.3 | LangGraph | CrewAI | AutoGen |
|--------|-----------------|-----------|--------|---------|
| Service discovery | AgentRegistry + heartbeat | Graph-based (hard-coded) | Sequential/hierarchical | GroupChatManager |
| Load balancing | Built-in | LangGraph Server only | None | None |
| Cross-network | Yes | Limited | No | No |
| Score | **9.0** | 6.5 | 5.0 | 6.0 |

**Winner**: AgentOS — only framework with a dedicated A2A protocol layer and registry.

### 4. Memory System

| Aspect | AgentOS v1.14.3 | LangGraph | CrewAI | AutoGen |
|--------|-----------------|-----------|--------|---------|
| Short-term | Virtual memory pager (Letta-style) | Checkpointer | Context window | ChatHistory |
| Long-term | ReflectionEngine + 4 importance tiers | Custom only | Basic vector search | Basic vector search |
| Consolidation | Automatic reflection trigger | None | None | None |
| Score | **9.5** | 7.5 | 7.0 | 7.0 |

**Winner**: AgentOS — the only framework with built-in reflection and tiered memory importance.

### 5. Human-in-the-Loop (HITL)

| Aspect | AgentOS v1.14.3 | LangGraph | CrewAI | AutoGen |
|--------|-----------------|-----------|--------|---------|
| Interrupt mechanism | Native + UI bridge | `interrupt()` | Callback | `human_input` |
| Built-in UI | Gradio Approval Dashboard | None (DIY) | None | CLI only |
| Approval flows | Structured | Manual | None | None |
| Score | **9.5** | 8.0 | 5.5 | 7.5 |

**Winner**: AgentOS — only framework shipping a built-in visual approval dashboard.

### 6. Distributed Orchestration

| Aspect | AgentOS v1.14.3 | LangGraph | CrewAI | AutoGen |
|--------|-----------------|-----------|--------|---------|
| Execution engine | Ray (Actor pool) | Asyncio / LangGraph Server | Asyncio | Asyncio |
| Placement strategies | 4 built-in | Graph topology | Sequential/parallel | GroupChat |
| Elastic scaling | Ray autoscaling | LangGraph Cloud | None | None |
| Score | **9.0** | 7.5 | 6.0 | 6.5 |

**Winner**: AgentOS — native Ray integration with placement strategies. Only LangGraph Cloud competes in production.

### 7. Multimodal Support

| Aspect | AgentOS v1.14.3 | LangGraph | CrewAI | AutoGen |
|--------|-----------------|-----------|--------|---------|
| Image processing | ImageProcessor | LLM API dependent | Tool dependent | Basic support |
| Audio/Video | AudioProcessor, VideoProcessor | None | None | None |
| Document | DocumentProcessor | None | None | None |
| Detection | MediaDetector (magic bytes) | Manual | Manual | None |
| Score | **9.0** | 7.0 | 6.0 | 7.0 |

**Winner**: AgentOS — only framework with a dedicated multimodal module spanning all media types.

### 8. Observability

| Aspect | AgentOS v1.14.3 | LangGraph | CrewAI | AutoGen |
|--------|-----------------|-----------|--------|---------|
| Tracing standard | OTel (native) | LangSmith / Callback | Callback | Logging |
| Metrics | Prometheus (built-in) | Custom required | Custom required | Custom required |
| Dashboard | Built-in | LangSmith (paid) | None | None |
| Score | **9.5** | 8.5 | 6.0 | 7.0 |

**Winner**: AgentOS — OTel-native observability with Prometheus metrics and built-in dashboard, no vendor lock-in.

---

## Final Ranking

| Rank | Framework | Total (80) | Strengths | Weaknesses |
|------|-----------|-----------|-----------|------------|
| **1** | **AgentOS v1.14.3** | **75.0** | Enterprise-ready; MCP/A2A/Ray/OTel native | Newer ecosystem |
| 2 | LangGraph v0.2x | 60.5 | Flexible graph control flow; LangSmith | No native multimodal; MCP missing |
| 3 | AutoGen v0.2x | 54.0 | Natural conversation; HITL design | Weak state; no standard protocols |
| 4 | CrewAI v0.6x | 46.5 | Simple API; rapid prototyping | Low flexibility; opaque internals |

---

## Radar Chart Summary

```
              State(9.5)
                 /\
                /  \
      Obs(9.5) /    \ MCP(10.0)
              /      \
             /   ★    \
  Multi(9.0)/  AgentOS \ A2A(9.0)
            \  75.0/80  /
             \         /
    Dist(9.0) \       / Mem(9.5)
               \     /
                \   /
              HITL(9.5)
```

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## Key Takeaways

1. **Protocol superiority**: AgentOS is the only framework with native MCP and A2A protocol support — making it the default choice for interoperable agent systems.

2. **Production readiness**: Ray distributed orchestration + OTel/Prometheus observability + Gradio HITL dashboard means AgentOS ships with production infrastructure that competitors require external tooling for.

3. **Memory architecture**: The Letta-style pager + ReflectionEngine is unmatched in the open-source agent framework space.

4. **Multimodal**: AgentOS processes images, audio, video, and documents natively — competitors delegate entirely to upstream LLM APIs.

**Recommendation**: AgentOS v1.14.3 is the recommended framework for production multi-agent deployments requiring protocol compliance, distributed execution, and enterprise observability.
