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Showing 2 open source projects for "fast"
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AI Agents That Actually Do the WorkClickUp's Super Agents run 24/7 inside your workspace: triaging bugs, drafting content, updating statuses, and routing tasks without being told twice. Connect them to 500+ tools and let them execute, not just suggest. Build custom agents in minutes that understand your workflows and act on them autonomously.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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NutsDB
A simple, fast, embeddable, persistent key/value store written in Go
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. It supports fully serializable transactions and many data structures such as list、set、sorted set. All operations happen inside a Tx. Tx represents a transaction, which can be read-only or read-write. -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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