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Apr 10, 2026
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docs(research): update agent ecosystem report and evaluation insights with MetaGPT #23644

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11 changes: 11 additions & 0 deletions docs/research/agent-ecosystem-report.md
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Expand Up @@ -86,3 +86,14 @@ Anthropic's SDK relies on a deliberately simple architecture, keeping the agent
**Recommendation:** Summit's internal orchestration and benchmarking must expand to cover these advanced topologies, specifically evaluating the overhead of coordination and the resilience of durable execution under load.

_Update:_ We have explicitly expanded our benchmarks to track State Recovery Success Rate (SRSR), Coordination Token Overhead (CTO), and Orchestration Latency Penalty (OLP). We have also created adapter layers for LangGraph, CrewAI, and AutoGen to support these metrics.

### 7. MetaGPT
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@chatgpt-codex-connector chatgpt-codex-connector bot Apr 9, 2026

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P2 Badge Place MetaGPT in the framework analysis section

The new ### 7. MetaGPT block is inserted after ## Industry Trends & Next Steps, which makes it a subsection of Industry Trends rather than part of ## Framework Analysis & Capabilities. That hierarchy change makes the report internally inconsistent (the executive summary still states six dominant frameworks) and can cause readers or any heading-based extraction to miss MetaGPT from the actual framework comparison. Move this section back under the framework analysis block (or adjust headings and summary text together).

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MetaGPT is a multi-agent framework purpose-built to automate software development. It simulates a full-stack product team—PMs, tech leads, developers, and analysts—as coordinated AI agents for business automation that follow standardized engineering workflows.

- **Core Paradigm:** Software company simulation (SOP-driven multi-agent system).
- **Key Capabilities:**
- **Role-based agents:** Simulates a full software team: PM, Architect, Engineer.
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medium

The roles listed here (PM, Architect, Engineer) are inconsistent with the roles mentioned in the description on line 92 (PMs, tech leads, developers, and analysts). To improve clarity and avoid confusion, it's best to ensure these descriptions are aligned.

Suggested change
- **Role-based agents:** Simulates a full software team: PM, Architect, Engineer.
- **Role-based agents:** Simulates a full software team with roles like PMs, tech leads, developers, and analysts.

- **Standard Operating Procedures (SOPs):** Embeds human workflows into agent operations for structured outputs.
- **End-to-End Development:** Capable of handling requirements to fully working code.
- **Best Use Cases:** Early-stage ideation, Proof-of-Concept (PoC) development, or augmenting engineering capacity.
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⚠️ Potential issue | 🟡 Minor

Update the executive summary count to match this new section.

Adding ### 7. MetaGPT makes the document cover seven frameworks, but the executive summary still says “Six prominent frameworks.” Please align that count/list for internal consistency.

🤖 Prompt for AI Agents 
Verify each finding against the current code and only fix it if needed.

In `@docs/research/agent-ecosystem-report.md` around lines 90 - 99, Update the
executive summary wording and any list count that currently reads "Six prominent
frameworks" to reflect seven frameworks now that "### 7. MetaGPT" was added;
search for the executive summary paragraph or heading that mentions "Six
prominent frameworks" and change the count to "Seven prominent frameworks" (and
update any numbered lists or references to the total count accordingly) so the
document is internally consistent with the new "### 7. MetaGPT" section.

12 changes: 12 additions & 0 deletions docs/research/agent-eval-insights.md
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Expand Up @@ -52,3 +52,15 @@ Based on the latest developments in the agent ecosystem (LangGraph, CrewAI, Auto
3. [x] **Dataset Generation:** Construct the golden fixtures for `concurrent_stress_test` and `mid_task_failure_recovery` in `GOLDEN/datasets/agent_orchestration/`.
4. [ ] **New Data Modalities:** Construct multimodal and cross-framework A2A interaction fixtures.
5. [x] **Metric Implementation:** Add the `SRSR` and `CTO` scoring logic to `evaluation/scoring/agent_metrics.py`.

- **SOP Adherence:** Measuring the ability of agents to strictly follow Standard Operating Procedures (SOPs) during code generation and system design.
- **Case: `metagpt_full_stack_poc`**
- **Description:** Task MetaGPT with generating a complete PoC for a simple web application from a one-line prompt.
- **Target Framework:** MetaGPT.
- **Goal:** Evaluate the quality of the generated code, architecture, and alignment with the initial prompt.
- **SOP Deviation Rate (SDR):** The frequency at which agents deviate from prescribed SOPs during a multi-step task.
Comment on lines +56 to +61
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medium

For better readability and logical grouping, consider placing the related metrics SOP Adherence and SOP Deviation Rate (SDR) together, before the test case details.

Suggested change
- **SOP Adherence:** Measuring the ability of agents to strictly follow Standard Operating Procedures (SOPs) during code generation and system design.
- **Case: `metagpt_full_stack_poc`**
- **Description:** Task MetaGPT with generating a complete PoC for a simple web application from a one-line prompt.
- **Target Framework:** MetaGPT.
- **Goal:** Evaluate the quality of the generated code, architecture, and alignment with the initial prompt.
- **SOP Deviation Rate (SDR):** The frequency at which agents deviate from prescribed SOPs during a multi-step task.
- **SOP Adherence:** Measuring the ability of agents to strictly follow Standard Operating Procedures (SOPs) during code generation and system design.
- **SOP Deviation Rate (SDR):** The frequency at which agents deviate from prescribed SOPs during a multi-step task.
- **Case: `metagpt_full_stack_poc`**
- **Description:** Task MetaGPT with generating a complete PoC for a simple web application from a one-line prompt.
- **Target Framework:** MetaGPT.
- **Goal:** Evaluate the quality of the generated code, architecture, and alignment with the initial prompt.


## Next Steps for the Summit Team (Continued)

1. [ ] **MetaGPT Integration:** Implement adapter layers for MetaGPT.
2. [ ] **SOP Metrics:** Implement metrics for SOP Adherence and SDR.
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