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## Data Table: Feature Comparison of Multi-Agent Systems
### Overview
The image presents a data table comparing several multi-agent systems across eight different features. The table uses checkmarks (✓) to indicate the presence of a feature and crosses (✗) to indicate its absence.
### Components/Axes
The table has the following structure:
* **Rows:** Represent different multi-agent systems. The systems listed are:
* CAMEL (Li et al., 2023)
* AutoGen (Wu et al., 2023)
* MetaGPT (Hong et al., 2024)
* MAD (Liang et al., 2024)
* ToT/GPT (Yao et al., 2023; Besta et al., 2024)
* Voyager (Wang et al., 2023a)
* SWE-agent (Yang et al., 2024)
* Self-Refine (Madaan et al., 2023)
* GPTSwarm (Zbuge et al., 2024)
* DeepReSAgent (Huang et al., 2025)
* ROBIN (Chareeb et al., 2025)
* SwarmsSys (ours)
* **Columns:** Represent features of the multi-agent systems. The features are:
* Decentralized
* Explicit Roles
* Debate
* Dynamic Profiling
* Decentralized Matching
* Multi-Event
* Validator
* Stigmergy
### Detailed Analysis or Content Details
Here's a breakdown of the feature presence/absence for each system:
* **CAMEL:** Decentralized (✗), Explicit Roles (✓), Debate (✓), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✗), Validator (✗), Stigmergy (✗)
* **AutoGen:** Decentralized (✗), Explicit Roles (✓), Debate (✗), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✗), Validator (✗), Stigmergy (✗)
* **MetaGPT:** Decentralized (✗), Explicit Roles (✗), Debate (✗), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✗), Validator (✓), Stigmergy (✗)
* **MAD:** Decentralized (✗), Explicit Roles (✗), Debate (✗), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✓), Validator (✗), Stigmergy (✗)
* **ToT/GPT:** Decentralized (✗), Explicit Roles (✗), Debate (✗), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✗), Validator (✓/8), Stigmergy (✗)
* **Voyager:** Decentralized (✗), Explicit Roles (✗), Debate (✗), Dynamic Profiling (✓/8), Decentralized Matching (✗), Multi-Event (✗), Validator (✓/8), Stigmergy (✗)
* **SWE-agent:** Decentralized (✗), Explicit Roles (✗), Debate (✗), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✗), Validator (✗), Stigmergy (✗)
* **Self-Refine:** Decentralized (✗), Explicit Roles (✗), Debate (✗), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✗), Validator (✗), Stigmergy (✗)
* **GPTSwarm:** Decentralized (✗), Explicit Roles (✗), Debate (✗), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✗), Validator (✗), Stigmergy (✗)
* **DeepReSAgent:** Decentralized (✗), Explicit Roles (✗), Debate (✗), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✗), Validator (✗), Stigmergy (✗)
* **ROBIN:** Decentralized (✗), Explicit Roles (✗), Debate (✗), Dynamic Profiling (✗), Decentralized Matching (✗), Multi-Event (✗), Validator (✗), Stigmergy (✗)
* **SwarmsSys (ours):** Decentralized (✓), Explicit Roles (✓), Debate (✓), Dynamic Profiling (✓), Decentralized Matching (✓), Multi-Event (✓), Validator (✓), Stigmergy (✓)
The "✓/8" notation appears twice, in Voyager and ToT/GPT, and likely indicates partial or limited support for the feature.
### Key Observations
* **SwarmsSys** is the only system that supports all eight features.
* Most systems lack support for Decentralized, Debate, Dynamic Profiling, Decentralized Matching, Multi-Event, Validator, and Stigmergy.
* Explicit Roles is the most commonly supported feature, present in CAMEL and AutoGen.
* Validator is supported by MetaGPT, ToT/GPT, and Voyager.
### Interpretation
This table provides a comparative analysis of different multi-agent systems, highlighting their capabilities across key features. The data suggests that **SwarmsSys** is the most comprehensive system, possessing all the listed features. The absence of these features in other systems indicates potential limitations in their design or functionality. The "✓/8" notation suggests that Voyager and ToT/GPT have partial implementations of Dynamic Profiling and Validator, respectively. This comparison is valuable for researchers and practitioners seeking to understand the strengths and weaknesses of different multi-agent systems and to identify potential areas for improvement. The table is a concise and effective way to communicate complex information about the capabilities of these systems. The inclusion of citations (e.g., Li et al., 2023) adds credibility and allows readers to further investigate the systems.