Autonomous trading agents with deterministic execution. The agents propose; the system decides.
Democratizing Reinforcement Learning for LLMs
Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyperresearch.ai
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages OpenRouter on the backend for rapid inference with any leading model.
A multi-agent AUTO Research loop for idea discovery, experiment execution, evidence-grounded paper writing, quality audit, and live Web observation from AI group, CNIC, CAS.
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
Agentic quant research workbench with CSV data inspection, local Codex and compatible APIs, predictive models, independent reviews, and reproducible backtests.
Synthesis engine for buy-side healthcare equity research.
Continuously updated catalogue of open-source OSINT tools, skills, plugins, MCP servers, and agentic integrations.
Research skill and researcher subagent for Claude Code: multi-engine search behind one interface, parallel agent waves, and a verify gate that blocks any citation without a verbatim quote. No personal data; configured via .env.
面向 AI/CS 科研的多 Skill 实验智能体:助力全自动科研实验,以 Claim 驱动、骨干实验优先、独立结果审计与 Evidence Freeze,把发散的模型能力收束为可追溯、可复现、可收敛的论文证据。
Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents