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Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Agent S: the state-of-the-art open source computer use agents
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
TranslatedTurn PDFs, books and papers into interactive learning webpages | Turn complex materials into learning webpages that are traceable, quizzable, and support note-taking
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Learning to Recover from LLM Agent Failures at Test Time
Remory: Learning Residual Memory for Context Compaction
Claudemy: an open-source alternative to Udemy and Coursera. Give Claude a topic, it researches the web and builds a course of 2-minute audio lessons with cited sources. A free Claude Code skill.
A framework for continual learning and recursive self-improvement through harness adapter evolution.
Learn a codebase by re-deriving its design decisions yourself. A Claude Code skill.
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
DynaFlow: Learning Free-Form Multi-Agent Orchestration
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
A Codex skill that turns local STEM course materials into a personal Obsidian learning vault, with source-grounded explanations, derivations and practice.
MCP server for spatial transcriptomics analysis through natural language interfaces.
A structured, multi-agent Claude Code learning environment for mastering Retrieval-Augmented Generation (RAG)
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order