No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by yxf203 · Agent Tool · ★ 303
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Awesome-Efficient-Agents safe to install? View the security audit →
Awesome Efficient Agents: A Survey of Memory, Tool Use, and Planning 🤝 Contributions welcome! This repository is actively maintained and continuously updated. Feel free to open an issue or submit a pull request to add papers, fix links, or improve categorization. ⚡Introduction Recent years have seen growing interest in extending large language models into agentic systems. While agent capabilities have advanced rapidly, efficiency has received comparatively less attention despite being crucial for real-world deployment. This repository studies efficiency-guided agent design from three core components: memory, tool use, and planning. We provide a curated paper list to help readers quickly locate representative work, along with lightweight notes on how each topic connects to efficiency. Efficient Memory. We organize memory-related papers into three processes: construction, management, and acc
| Stars | 303 |
| Forks | 12 |
| Category | Agent Tool |
| Quality Score | 50.5692007065075/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-28 |
| Created | 2026-01-13 |
| Est. Tokens | ~28k |
Looking for a Awesome-Efficient-Agents alternative? If you're comparing Awesome-Efficient-Agents with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A curated, continuously updated reading list of 200+ papers on LLM agents: planning, memory, tool use, multi-a
✨✨Latest Advances on Neuro-Symbolic Learning in the era of Large Language Models
Large Language Model based Multi-Agents: A Survey of Progress and Challenges (In IJCAI 2024)
A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonom
ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning
A curated list of Model Context Protocol (MCP) servers
Explore other popular agent tool tools:
Awesome-Efficient-Agents is Survey and paper list on efficiency-guided LLM agents (memory, tool use, planning).. It is categorized as a Agent Tool with 303 GitHub stars.
You can find installation instructions and usage details in the Awesome-Efficient-Agents GitHub repository at github.com/yxf203/Awesome-Efficient-Agents. The project has 303 stars and 12 forks, indicating an active community.
The top alternatives to Awesome-Efficient-Agents on Agent Skills Hub include awesome-llm-agent-papers, Awesome-LLM-Reasoning-with-NeSy, LLM_MultiAgents_Survey_Papers. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: