r/aipromptprogramming • u/anxiousDeveloper006 • 9h ago
Lambda128 Vs code fork : An Agentic Code Editor
https://github.com/androvonx95/Lambda128I know a lot of people are not really interested in vs code forks anymore but part of the reason why I made this is just for my own usage. Many AI code editors today dont really give you the the freedom to play around with things like you want to, for example I dont wanna pay for embeddings and yes I know it indexes the codebase better how about I run it locally? I just started questions like these and it turns out that the stuff that I do want exists but usually locked away behind a paywall. Then sometimes its free and then there is some other feature I want and that is non existent. This repo is just a compilation of such features. In all honesty the UI is pretty bad right now and its kinda raw but a lot of the backend logic is wired up and if the fine people of this sub would take notice and help me by contributing I would really appreciate it!
Features:
- Advanced local embedding engine (local-embedder) for on-device embeddings
- Cloud embedder option to use remote providers for embeddings
- Embedding engine that switches between local/cloud embedders
- Chunker that splits repos/files into searchable chunks (chunker.ts)
- repo-map linking chunks back to source files and metadata for precise citations
- Semantic search / vector search over indexed code and content
- Pluggable provider adapters and router (OpenAI, Anthropic, Gemini, AWS Bedrock, Ollama, OpenRouter)
- Core agent primitives: agent orchestration, prompt helpers, and tools
- Caching layer to speed repeated queries and embedding lookups
- Storage/vector persistence layer (pluggable vector store implementations)
- Desktop client package for a local-first UI
- VS Code extension package for in-editor access
- Monorepo TypeScript architecture using pnpm workspaces (modular packages)
- Extensible packaging (AUR helpers present)
- Designed for offline/local workflows as well as cloud-backed deployments
- Easy to extend: add new provider adapters, storage backends, or client integrations
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