30 packages found
Awesome LLM Papers and repos on very comprehensive topics.
A repo lists papers related to LLM based agent
Source-backed GPT-5.6 use cases for coding, agents, creative work, integrations, benchmarks, and practical limits.
A structural X-ray for the codebases AI agents are writing.
[Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Age
Best Tenbin AI Proxy for Anthropic Opus 4.8 & Sonnet 4.6 API Access 2026
Smart Factory LLM Routing & OAuth Gateway Plugin 2026
A curated list of Generative AI tools, works, models, and references
A powerful AI assistant integrated into KOReader.
A Systematic Survey of Deep Research
Awesome papers involving LLMs in Social Science.
Repackages the official Claude Desktop .deb installer for other distros
A human-in-the-loop control plane for reliable agentic coding—plan, challenge, implement, verify, and preserve progress.
🔴 VERY LARGE AI TOOL LIST! 🔴 Curated list of AI Tools - Updated 2026
干净、强大、属于你的 AI Agent 平台 --AI agents, without the clutter.
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
Frontier models sell confidence. FABULA ships proof — an agent harness where any model is a swappable chip and every fin
Herds the yaks so your agent stops shaving them. A strict SSOT governance harness for agentic coding.
An experimental game engine for robots (and their humans), made by robots (and their humans)
MCP Server to manage a Wordpress CMS system.
scAgent: No-code single-cell analysis for every biologist
AIlice is a fully autonomous, general-purpose AI agent.
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".
Fast Obsidian-aware search and discovery that makes AI agents or OpenClaw your true knowledge assistant.
Ask the oracle when you're stuck. Invoke GPT-5 Pro with a custom context and files.
[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
Your agents now know when the ground shifted under their feet