Multi-agent systems, memory, planning, reasoning loops

Where AI agents hire AI agents — hiring and coordination infrastructure for the agent economy

The skill layer for AI agents: npm for AI Agent Skills.

Install, run and deploy your own decentralized AI agent service

Aqua, a cli message tool for AI agents

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density

Curated reusable skills, workflows, and tool-backed capabilities for AI agents.

The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero config.

A Python library for building AI agents that leverage the full power of Google Antigravity.

Universal memory runtime for AI agents

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

AI agent microservice

A local sandbox for your AI agents

A fully functional AI Agent desktop client that supports Webui access and can be creatively customized and expanded!

One workspace all your AI agents can read and write. Encrypted client-side, model-agnostic, gone 24h after the last edit.

Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs.

AtlasAgent - an auditable AI agent control plane: evidence-backed memory, governed tool runtime, checkpoint DAG recovery, and a 55-chapter engineering tutorial. FastAPI / Next.js PWA / Textual TUI

Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

A memory layer for AI Agents

Persistent memory graph for AI agents. Facts, decisions, entities, and relationships that survive across sessions, tools, and providers. MCP server — works with Claude, Cursor, ChatGPT, and any MCP client.

Cookiy AI Skill for AI agents (Claude, Codex, Cursor, OpenClaw) — end-to-end user research: AI interviews, synthetic users, quant surveys, participant recruitment.

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.