A
AutoGPT
Open source agent framework and hosted tools for building autonomous AI agents that plan browse and execute multi step tasks with human checkpoints and tool integrations.
Pricing Free
Category productivity
Difficulty Beginner
Type Web App
Status Active
AgentGPT
Browser-based autonomous agent playground that chains goals into tasks with memory tools and web access so non-developers can experiment with multi-step AI automations.
Pricing Free / Starts $8 per month
Category productivity
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in AutoGPT
agentsautomationopen-sourcebrowsingpythoncli
Shared
None
Only in AgentGPT
autonomous-agentsplaygroundproductivitysearchprototype
Key Features
AutoGPT
- • Open source Python framework with CLI and Docker
- • Continuous planning loop with memory and checkpoints
- • Tool adapters for search scraping files and APIs
- • Bring your own model keys for cost and privacy
- • Hosted templates and marketplace for quick starts
- • Human in the loop approvals and spending limits
AgentGPT
- • Goal to task chaining with live progress and logs
- • Web search and simple tool calls inside the loop
- • Context injection and guardrails to bound scope
- • Choice of models and parameters for cost and speed
- • Lightweight memory to keep track of sub-goals
- • Export results and task lists for handoff
Use Cases
AutoGPT
- → Automate competitive research and produce cited briefs
- → Extract entities from pages and PDFs to enrich leads
- → Run structured QA against product docs and changelogs
- → Generate outlines and briefs for content teams
- → Schedule nightly collection and cleanup pipelines
- → Prototype internal copilots with repeatable steps
AgentGPT
- → Run quick competitive scans and summarize pages with sources
- → Generate ideas and outlines for campaigns or articles
- → Collect basic stats and links for market overviews
- → Plan small projects by breaking goals into tasks
- → Prototype agents before investing in heavy frameworks
- → Teach teams how multi-step prompting works in practice
Perfect For
AutoGPT
developers data analysts automation engineers and power users who want agentic workflows they can self host extend and govern
AgentGPT
makers analysts growth teams and educators who want a low friction way to explore autonomous AI loops and teach multi-step prompting
Capabilities
AutoGPT
Agent Loop Intermediate
Tools and Web Intermediate
Local or Cloud Basic
Templates and Store Basic
AgentGPT
Goals into Tasks Basic
Web and Tools Basic
Memory and Guards Basic
Logs and Exports Basic
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