Daydreams is a set of tools for building agents for commerce

Awesome AI Agents for 2026 - 300+ AI Agents, Frameworks & Coding • Creative • Voice • Research • Enterprise. Comparison guides, benchmarks & deep dives

A concise Claude reference bundle for developers, covering commands, MCP servers, plugins, tools, workflows, and agent frameworks in one place. Designed for fast discovery and practical integration.

Eremos is a lightweight framework for deploying autonomous swarm agents that detect early on-chain activity across Solana.

A curated list of awesome open source projects for creating agentic operating systems, AI agents, and tools for the future of autonomous computing.

An MCP server that allows users to dynamically add custom tools/functions at runtime

Architecture-focused guide to open-source personal AI agent frameworks (the Claw ecosystem)

Competition and Agent Frameworks for the Trading Agents Competition

SuperOptiX: Full Stack Agentic AI Framework

A C++20 framework for building intelligent agents.

Multi-Agent Reasoning Systems

🍄 The open-source internet for AI agents. pip install → discover → communicate → collaborate.

An agent-optimization framework ✨

Stop vibe-coding. A wave-based execution framework for Claude Code where discipline is the speed.

A file-based protocol for humans + AI agents. Stack files like trail markers — any agent finds the trail.

Interactive 3D knowledge graph of 793 open-source AI harnesses — governance, agent, evaluation, red-team, routing — plus free education. 97% curator-reviewed (incl. a three-model ensemble pass). Built after the 2026-06-13 Fable/Mythos worldwide recall proved closed-weights models can vanish overnight.

🤖 Orchestrate AI agent workflows in Java/Spring Boot with Autonome—type-safe, production-ready, and easy-to-integrate for enterprise solutions.

An interactive roadmap for harness engineering — building the agent loop, tool layers, context engineering, memory, retrieval, eval harnesses, and the rest of the scaffolding around modern LLMs.

Design pattern + Claude Code skill for AI engineers. LLM judgment and deterministic code in mutually-generative cycles, not pipelines. Library of named graph-shapes (RAG, ReAct, codegen-with-verification, dev-time critique loops, more).

AI agent memory & infrastructure landscape — comparative catalog of 912 systems × 68 columns covering memory layers, agent frameworks, runtimes, vector stores, knowledge graphs, MCP servers, benchmarks. Searchable with typed edges, lineages, citations.