AUTONOMOUS AI AGENTS
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Autonomous AI Agents & Enterprise Workflow Automation
Multi-agent AI orchestration platform enabling autonomous workflow execution across complex tasks like web scraping, automated market research, report generation, and API integrations.
# AutoGPT / CrewAI# Tool Calling# Python Sandbox# Zapier API# ReAct
Contract formatContract development
Development system5 people
Development period4 months
Key Features
Core System Capabilities
Optimized modular design for both End-Users and Enterprise Management Admin
01
User side
- Natural language goal & task definition
- Real-time agent execution visualizer
- Interactive human-in-the-loop approval UI
- Generated report & artifact downloads
4 features
02
Multi-Agent Swarm side
- CrewAI / AutoGPT multi-agent role delegation
- ReAct thought-action-observation loops
- Code execution in secure Python sandbox
- REST API & browser tool integration
4 features
03
Admin side
- Agent role & prompt persona builder
- Tool permissions & API rate limits
- Task execution cost & token monitoring
- Audit logs & rollback management
4 features
Development Scope
Project Life Cycle & Phases
Phase 01
Requirement definition
Phase 02
UI/UX design
Phase 03
Agent Swarm architecture
Phase 04
Development
Phase 05
Unit / Integration testing
Phase 06
Operation and Maintenance
Tech Stack Architecture
Technologies Used in Project
Languages & Core Frameworks
Python, TypeScript, CrewAI
AI Tools & GenAI Models
Claude 3.5 Sonnet, OpenAI API, LangChain
Databases & Vector Storage
PostgreSQL, Redis
Infrastructure & Cloud Services
Docker Sandbox, OpenAI API, LangGraph
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