Open source alternatives to embeddings
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O
opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A
andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M
microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O
od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G
github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About embeddings
embeddings
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support
embeddings is an agent skill from the ruflo project for working with vector embeddings, used for semantic search and pattern matching. It stores vectors in a persistent cache built on sql.js, a SQLite build that runs as WebAssembly so it works across platforms, and it searches them with HNSW indexing, a graph-based index for fast nearest-neighbour lookup. The skill also supports a Poincaré ball model for hierarchical data, and it offers normalization with L2, L1, min-max and z-score methods, and chunking with configurable size and overlap, which is useful for splitting long documents before they are embedded. The skill's features table gives the claimed speedups, including a search that is 150 to 12,500 times faster with HNSW and 75 times faster with the agentic-flow ONNX integration. Those are the skill's own figures and depend on the data and hardware, so measure them on your own data. It has a list of commands for embedding and searching, and the skill says to use it for semantic search, pattern matching and similar lookups. It suits developers adding search over notes, code or past agent results to an application. The skill passes Gen Agent Trust Hub, Socket and Snyk on skills.sh, and it has about 1,200 installs. Install it with npx skills add https://github.com/ruvnet/ruflo --skill embeddings.
- Price
- Free
- Made by
- ruvnet
- Category
- AI Skills
- Website
- github.com/ruvnet/ruflo/embeddings