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Sherpa Coder
✓ verifiedFree
VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.
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GitLoop
✓ verifiedFree trial
AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
👁 11K/mo♥ 2.7K
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FlowiseAI
✓ verifiedFreemium
Open-source visual builder for LLM agents, chatbots and RAG workflows, with API, SDK and self-hosting options.
Pricing
No public pricing
No public pricing
No public pricing
Free trial available
Free: $0 (2 flows, 100 predictions/mo, 5MB)
Starter: $35/mo (unlimited flows, 10,000 predictions/mo)
Pro: $65/mo (50,000 predictions/mo, 5 users)
Core features
- ✦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)
- ✦in-editor chat with OpenAI assistants
- ✦workspace source-code context sharing
- ✦support for custom, user-defined assistants
- ✦secure management of the user's OpenAI account
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Visual builder for multi-agent and chatflow systems
- ✦RAG from various data sources
- ✦Human-in-the-loop review
- ✦Execution traces with Prometheus/OpenTelemetry
- ✦API, SDK and embeddable chat widget
- ✦100+ LLMs, embeddings and vector DBs; on-prem or cloud
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →getting coding help without switching out of VS Code
- →using a personalized OpenAI assistant tuned to a project
- →quick in-editor Q&A while writing code
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Prototyping and shipping LLM chatbots
- →Building autonomous multi-agent workflows
- →Adding AI features to existing applications
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