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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

👁 775K/mo
Devv.AI
✓ verifiedPaid

AI search engine for developers with code repo integration.

👁 52K/mo4.2K
Gitmore
✓ verifiedFreemium

Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.

👁 7.6K/mo

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

5.2K
GitFluence
✓ verifiedFree

Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.

Pricing

No public pricing

No public pricing

No public pricing

Free trial available

No public pricing

No public pricing

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • GitHub Mode for repository search
  • Web Mode for web-based information retrieval
  • Chat Mode for direct AI interaction
  • Model selection (GPT, Claude, Gemini)
  • Student discount program
  • AI-summarized commit and PR reports
  • Daily and weekly scheduled digests
  • Slack and email delivery
  • One-click OAuth or webhook setup
  • GitHub, GitLab and Bitbucket support
  • Templates for standups and reports
  • 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)
  • Natural-language to Git command suggestions
  • AI-driven command matching
  • Copy-ready command output
  • Git guides and reference
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Writing API reference documentation
  • Brainstorming SEO strategies
  • Enhancing code functionality
  • Gaining insights into open-source projects
  • Resolving complex code issues
  • Keep stakeholders updated on what shipped
  • Replace manual status updates and standups
  • Give teams visibility into Git activity
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Find the correct Git command quickly
  • Learn Git syntax by describing a goal
  • Avoid memorizing Git flags
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