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Builds, deploys, and orchestrates custom autonomous AI agents using coding frameworks, prompt management, and scalable infrastructure.
AI Agent Developer
Each stage transforms your work — output of one feeds the next.
Input
Defined tasks and role requirements
AI process
Framework assigns roles and communication paths between autonomous agents
Output
Executing multi-agent system
Input
Executing multi-agent system
AI process
Generates code blocks, debugs errors, and autocompletes agent scripts
Output
Deployable agent code
Input
Deployable agent code
AI process
Crawls pages, bypasses blocks, and structures data for LLM consumption
Output
Clean JSON/Markdown data feeds
Input
Clean JSON/Markdown data feeds
AI process
Tracks tokens, evaluates prompt effectiveness, and identifies hallucinations
Output
Optimized agent prompts and traces
CrewAI for orchestrate multi-agent role-based workflows·AutoGen for build conversational agent frameworks
A framework for orchestrating role-playing, collaborative autonomous AI agents.
Open-source core with Enterprise paid cloud options.
Microsoft's open-source framework for building complex multi-agent AI applications.
Completely open-source and free to use.
Cursor for write and debug python agent logic
AI-first code editor built on VS Code with deep codebase understanding.
Free (2000 completions), Pro $20/mo
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Firecrawl for convert web pages to clean markdown for agents·Apify for run serverless scraping actors for agents
Turn entire websites into clean, LLM-ready markdown.
Free tier of 500 credits/mo, paid plans from $19/mo
The platform for web scraping, data extraction, and AI agents.
Free tier available, starter plans from $49/mo
LangSmith for trace and evaluate agent llm calls·Promptfoo for test agent prompt variations
Platform for debugging, testing, and evaluating LLM applications.
Free developer tier, paid tiers for teams
Open-source CLI and library for evaluating LLM prompts and models.
100% Free and open-source
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