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Multi Agent Orchestration Coding Agents Testing Qa Dev Infrastructure AI Agents Software Development AI Agents Infrastructure AI Agent

Jam

✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves

Apify

✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

4.4M visits/mo2.0K saves

Aide Dev

✓ verifiedPaid

Aide helps developers code faster with parallel agents and automated workflows.

7.6K visits/mo

GitHub

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves

Jotform AI Agents

✓ verifiedPaid

Jotform's platform for building AI customer-service agents across channels; category leader.

42M visits/mo9.5K saves

Pricing

Free: $0 (30 Jams/mo, 5 recording links)

Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Free: $0/mo ($5 included usage)

Starter: $29/mo ($26/mo billed annually)

Scale: $199/mo ($179/mo billed annually)

Business: $999/mo ($899/mo billed annually)

Free trial available

Standard: $49 per month

No public pricing

Core features

✦One-click bug capture via browser extension
✦Automatic repro steps
✦Console, network and device logs
✦Instant replay of recent activity
✦Backend tracing and an AI debugger
✦Integrations with Jira, Linear, GitHub and Slack

✦Web scraping
✦Data extraction
✦Browser automation
✦AI agents
✦Anti-blocking
✦Proxy rotation
✦Open-source tools (Crawlee)
✦Ready-made tools and code templates

✦Parallel Agents for faster coding
✦GitHub native integration
✦Automated PR workflow
✦Smart PR suggestions
✦Automatic code reviews
✦Real-time progress tracking

✦Fast tensor operations
✦Differentiable tensors for gradient-based optimization
✦Network connectivity
✦Integration with Bun and Flashlight
✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)

✦AI Agent Creation
✦Template Library
✦Multi-Channel Support

Use cases

→Filing detailed bug reports
→Reproducing issues faster in QA
→Sharing debug context with engineers
→Triaging support bug reports

→Data for generative AI
→Lead generation
→Market research
→Sentiment analysis

→Automating code reviews
→Generating PRs automatically
→Improving code quality through continuous improvements

→Creating and manipulating datasets
→Training small machine learning models
→Implementing advanced training and inference logic
→Building applications that require tensor computations

→Customer Service Automation
→Feedback Collection
→Streamlining Support Inquiries

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