Zijian Zhou

@BobbyZhouZijian · User

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National University of SingaporeSingapore91 followers86 repositories

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BobbyZhouZijian/RSI-Observatory

An evidence-driven map of Recursive Self-Improvement: systems, scorecards, benchmarks, research papers and live project radar.

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BobbyZhouZijian/best-of-Agent-Harnesses

🏆 Ranked list of 167 AI agent harnesses, plus copy-paste templates (AGENTS.md, safe Claude Code settings, a minimal harness) and step-by-step playbooks. MCP server, llms.txt & JSON. Rescored weekly.

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BobbyZhouZijian/awesome-rsi-4

A curated list of awesome papers, open-source projects and products on self-evolving agents and recursive self-improvement (RSI)

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BobbyZhouZijian/awesome-deepseek-harness

A curated list of plugins, skills, MCP servers, patch/profile layers, orchestrators & UIs for DeepSeek Harness (DSH). Visualization · PPT · Coding · Agents · Loops (auto-research) and more. #dsh

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BobbyZhouZijian/awesome-self-improving-ai

Awesome list of papers, code and blogs on self-improving AI — model (self-play, self-rewarding), harness (skills, memory, self-modifying code) and infra (kernels, pipelines, automated AI research)

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BobbyZhouZijian/awesome-agent-harnesses

The curated map of the agent-harness layer: platforms, sandboxes, self-evolving skills, multi-agent coordination. 60+ verified entries, trilingual, with field-measured landscape notes.

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BobbyZhouZijian/awesome-rsi-3

A curated collection of papers, research blogs, and open-source projects on recursive self-improvement (RSI), self-modifying agents, and iterative self-training.

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BobbyZhouZijian/awesome-ai-harness

The model is the engine; the harness is the car. Curated knowledge on harness engineering — context management, tool design, agent loops, memory, sandboxing, evals. EN/中文

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BobbyZhouZijian/awesome-rsi

A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.

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BobbyZhouZijian/awesome-llm-agent-papers

A curated, continuously updated reading list of 200+ papers on LLM agents: planning, memory, tool use, multi-agent, evaluation & safety. Companion to the survey 'LLM Agents: A Survey'.

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