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DeepWiki logo
DeepWiki
✓ verifiedFree

Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.

1.2M visits/mo
Kilo Code logo
Kilo Code
✓ verifiedFreemium

Open-source AI coding agent for VS Code, JetBrains, CLI and cloud, with 500+ models at zero inference markup and BYOK.

10K visits/mo57K saves
389K visits/mo
248K visits/mo4.8K saves
HumanLayer logo
HumanLayer
✓ verifiedFreemium

AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.

197K visits/mo
Pricing

No public pricing

Free: $0 (open source; AI usage billed separately)
Teams: $15/user/mo (14-day free trial)
KiloClaw hosting: from $55/mo

Free trial available

Pay-as-you-go: 42.8% platform fee for corporate, 33.3% for academic/non-profit (no monthly fee)
Participant payment: minimum $8.00/hr, recommended $12.00/hr

No public pricing

No public pricing

Core features
  • AI-generated documentation for GitHub repos
  • Conversational Q&A about a codebase
  • Browsable index of popular repositories
  • Deep code indexing via Devin
  • 500+ AI models at zero inference markup
  • Bring-your-own-keys and local model support
  • MIT-licensed, fully open source
  • Works in VS Code, JetBrains, CLI and cloud
  • Agent modes (Code, Architect)
  • Parallel isolated worktrees
  • Slack code reviewer and gateway
  • Access to a verified and engaged participant pool
  • Self-serve platform for easy task setup and launch
  • Tools for AI training and evaluation
  • Fair compensation for participants
  • Audience checker
  • Lifelike voice AI agents
  • 24/7 availability
  • Customer-led conversational platform
  • Integration with enterprise systems
  • AI coding IDE with agent orchestration
  • Run and manage multiple agent sessions
  • Task, artifact and collaboration tools
  • Bring-your-own AI subscription or API keys
  • Cloud-scale agent execution
Use cases
  • Understanding an unfamiliar codebase quickly
  • Onboarding to open-source projects
  • Answering questions about repo internals
  • Writing and refactoring production code with AI
  • Planning features before implementation
  • Running agents across multiple IDEs and the CLI
  • Academic research
  • AI training and evaluation
  • Market research
  • User research & testing
  • Data annotation
  • Training & alignment
  • Evaluation & safety
  • Answering customer service calls
  • Providing information and support
  • Resolving customer issues
  • Automating call center operations
  • Shipping code faster with AI agents
  • Coordinating agent work across a team
  • Managing tasks and artifacts in one place
  • Running many parallel agent sessions
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