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Learn Rust
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This course contains small exercises aimed to familiarize you with reading and writing Rust code. It is an adaptation of the exciting rustlings course created by Carol...
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GitHub Actions
Store, find and reuse artifacts between n8n workflows and AI agents with Artefaktum
keysigil
keyforge contributors
Embeddable API key management SDK with LLM token budget tracking. Drop-in library for key lifecycle, rate limiting, and token budgets.
...more@typexs/storage-ng
Robert Kania
Angular for typexs
@typexs/distributed-storage-ng
Robert Kania
Angular for typexs
@typexs/storage
Robert Kania
Storage for typexs
@typexs/distributed-storage
Robert Kania
No description available
local-rag-qa
Hakan Ataş
A small, fully local retrieval-augmented Q&A CLI — no internet needed at query time, no data leaves your machine.
Seekter
selfishprimate
A job-search agent for Claude Code. It searches job sources every day, filters postings against your rules (location, visa, salary, sectors, seniority, language), fills application forms in your own Chrome, and keeps every application and skip as a markdown file you can read, grep and diff.
...more@lacspace/llm-cache
Lacspace
A content-hash cache for LLM calls — key by (model family, prompt version, normalized input) so identical requests, retries after a 429, and repeated rewrites never pay twice. Pluggable async store (in-memory LRU built in, Mongo/Redis/KV via a tiny adapte
...moreairdress-home
Link a home hub such as Home Assistant to an airdress: machine enrollment, request signing and the held channel
@babichjacob/svelte-localstorage
J / Jacob Babich
Svelte writable stores that automatically synchronize with localStorage
@paperstack-docs/llms
princeraj2572
Generate llms.txt and llms-full.txt from PaperStack documents.
ppdrive
YOUR NAME
Python SDK for PPDRIVE — self-hosted object storage
llm-guardrails-middleware
Drop-in guardrails wrapper for LLM API calls: PII redaction, prompt-injection detection, output schema validation, and usage/latency logging.
...moreboruna
escapeboy
Boruna: a deterministic, capability-safe programming language and framework for LLM-native applications