Tag: multi-agent systems

Agentic AI Starters delivers production-ready blueprints for building autonomous AI products with real APIs and monetization paths. Stop experimenting and start shipping revenue-generating agent workflows.

Discover jcode, the blazing-fast autonomous AI coding agent harness that outperforms Claude Code by 245× in startup speed and uses 27× less RAM. Features native multi-agent swarms, human-like semantic memory, and radical self-development capabilities.

Meta's RepoProver uses multi-agent AI collaboration to automatically formalize entire mathematics textbooks in Lean 4, with quality enforcement via git-based workflows. Learn setup, usage, and real code examples from the team that formalized Algebraic Combinatorics.

Transform idle GPU hours into autonomous ML research with Litmus on OpenClaw. Multiple agents experiment overnight, a Director steers every 2 hours, and a Synthesizer builds reusable skills. Wake up to discoveries.

A deep architectural study of Anthropic's Claude Code CLI agent from sanbuphy/learn-coding-agent. Explore 512K lines of reconstructed TypeScript, 40+ tools, undercover mode, KAIROS autonomous features, and 12 progressive harness mechanisms that define production-grade AI agent engineering.

Harness by revfactory is an L3 Meta-Factory that auto-generates domain-specific AI agent teams for Claude Code. With 6 architectural patterns, Progressive Disclosure skills, and proven 60% quality improvements, it eliminates manual agent team design.

MemoryBear is a next-generation AI memory system mimicking human cognition through perception, extraction, association, and forgetting. Built on Neo4j graph storage with hybrid search and biological memory decay, it outperforms Mem0, Zep, and LangMem with 75% benchmark accuracy.

Discover AutoAgents, the production-grade Rust multi-agent framework with Python bindings. Build type-safe, high-performance AI agent systems with structured tool calling, ReAct execution, and unified LLM providers.

Discover BAD, the BMad autonomous development orchestrator that runs fully autonomous parallel multi-agent pipelines through your entire story lifecycle — from creation to merged PR — while you focus on architecture and innovation.

Discover ValueCell, the open-source multi-agent platform revolutionizing financial automation. Build AI trading strategies with local data security, 7+ exchange integrations, and zero subscription costs. Complete technical guide with real code examples.

Discover Antfarm, the OpenClaw tool that deploys entire AI agent teams with one command. From feature development to security audits, orchestrate deterministic multi-agent workflows with zero infrastructure. The future of development is here.

Discover how virattt/ai-hedge-fund simulates a complete hedge fund with 19 AI agents modeled after legendary investors like Buffett, Burry, and Wood. Complete setup guide, real code examples, and advanced strategies inside.

Discover GoClaw, the 25MB single-binary AI gateway built in Go with multi-tenant isolation, 5-layer security, and native concurrency. Deploy agent teams across 20+ LLM providers and 7 messaging channels — from a $5 VPS to enterprise scale.

Discover the Paperclip Company Playbook's battle-tested two-layer verification system that eliminates founder-as-QA. Built from real production failures, these 8 templates transform chaotic AI agent operations into reliable, self-managing companies.

Learn Claude Code teaches developers to build real AI agent harnesses from scratch, not prompt pipelines. 12 progressive sessions cover the loop, tool use, subagents, context compression, and team coordination. Master the infrastructure that makes agency real.

AutoAgent is a revolutionary zero-code framework from HKUDS that lets you build sophisticated LLM agent systems through natural language dialogue. Discover how its self-managing workflows, intelligent orchestration, and conversational interface are democratizing AI development.