Agent Marketplace

Semantica 🧠 — AI-native knowledge graph intelligence framework for semantic retrieval, ontology reasoning, context graphs, and explainable AI systems.

A browser-based desktop where AI Agent operates every app through natural language.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

💻 A curated list of papers and resources for multi-modal Graphical User Interface (GUI) agents.

YC S26 | WUPHF is a collaborative office of AI employees who build and maintain their own knowledge base to never lose context for the tasks you give them. Supports Claude Code, Codex, OpenClaw and local LLMs via OpenCode.

Salesforce Enterprise Deep Research

AI-agent-first CLI for BOSS 直聘 — 职位搜索、福利筛选、招聘者工作流、MCP 工具与 AI 简历优化

One Query. All Search Skill. 聚合 Gemini、Grok、豆包、元宝等平台原生 AI 搜索能力，免费获取科技趋势、行业舆情、热点追踪、旅行规划、日常问题统一接进自己的 Agent 与工作流，指定链接免费爬取

AI equity research agent with resilient workflows, Redis Lua single-flight, pgvector RAG, versioned reports, evidence tracing, and RAG evaluation.

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control

Reference code for the Meta-Harness paper.

Browser4: a lightning-fast, coroutine-safe browser for your AI.

Your personal AI desktop agent for Windows, macOS, Linux & Android. Set a goal, it works on its own. Teams (pair two desktops, agents + humans), Agent2Agent, Workflows, Codework, multi-agent orgs, desktop + browser automation. 15+ AI providers, BYOK. No Docker, no terminal. Agent Skills (SKILL.md). Migration importer. Recurring autonomous tasks.

ChatGPT CLI is a powerful, multi-provider command-line interface for working with modern LLMs. It supports OpenAI, Azure, Perplexity, LLaMA, and more, with features like streaming, interactive chat, prompt files, image/audio I/O, MCP tool calls, and an experimental agent mode for safe, multi-step automation.

🔍 The hardest search benchmark in the wild — vague, multi-turn, proactive. 200 long-horizon tasks with persona-driven progressive disclosure, scored by verifiable schema-free knowledge-graph evaluation. No vibes, just triplet F1.

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. 🏥 Designed for healthcare professionals, researchers and patients.

🔬🦞 A self-evolving AI research colleague for scientists. 285 skills, zero hallucination, persistent memory.

[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)

Open source file-system and knowledge based agent template. Build AI agents that stay up to date with your knowledge base

A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.

🤖 Automatically collected AI repos, tools, websites, papers & tutorials. 实用AI百宝箱 💎

data-to-paper: Backward-traceable AI-driven scientific research