Agent Black
Multi-Agent AI Research Platform
A multi-agent system where a Control Panel orchestrates three specialized research agents to solve AI/ML/CV/NLP queries. Each agent is an independent FastAPI service with its own MCP tool server and A2A endpoint — delivering structured, end-to-end research workflows.
CV · NLP · ML
13 per agent
End-to-end
Gemini · OpenAI · Anthropic
Key Features
What makes Agent Black powerful.
Research-Relevance Gate
Smart query validation rejects non-research questions with helpful suggestions and supported topics.
LLM-Driven Orchestration
Agent selection, task decomposition, and result aggregation powered by multi-provider LLMs.
39 MCP Tools
13 tools per agent covering paper search, dataset discovery, model recommendation, and more.
A2A Protocol
Agents communicate seamlessly via JSON-RPC 2.0 with standardized agent cards and task routing.
SSE Streaming
Real-time task progress streaming so you never lose sight of what's happening.
Structured Reports
Unified reports with literature review, datasets, models, evaluation plans, and PDF export.
Orchestrator Pipeline
Every query flows through 5 intelligent steps.
Relevance Gate
Validates research intent
Agent Selection
LLM picks the right agents
Task Decomposition
Breaks into sub-tasks
Concurrent Dispatch
Parallel agent execution
Result Aggregation
LLM synthesizes output
Specialist Agents
Each agent is a standalone FastAPI service with its own MCP tools and A2A endpoint.
CV Research Agent
Port 8001 · Computer Vision
NLP Solution Agent
Port 8002 · NLP / Solution Architecture
ML Experiment Agent
Port 8003 · Machine Learning Experiments
Team
The people behind Agent Black.
Tech Stack
Technologies powering the platform.
Quick Start
pip install -r requirements.txtpython start.pycd ui && bun install && bun run devService Ports
Agent Black · Built with FastAPI, React, and Tailwind CSS
© 2026 Agent Black Contributors · MIT License