Building The Infrastructure for The Agent Economy 👾🏪 Build, Deploy, and Monetize your AI Agents with Swarms. Learn more: https://teapaw.org/t.co/HhvBhOA4g8
Palo Alto, California
Joined April 2024
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The Swarms Ecosystem: A Complete Stack for the Agent Economy 👾👾👾
Swarms provides the world's only comprehensive, end-to-end infrastructure stack for building, deploying, monetizing, and distributing autonomous agents at scale.
Our stack addresses the full lifecycle of agentic systems, from creation to production and revenue generation.
- Agent Layer – Build, Deploy, and Scale
- Monetization Layer – ATP (Agent Trade Protocol)
- Distribution Layer – Swarms Marketplace
Learn more from our latest article ⬇️
Introducing Swarms Skills: Connect AI Agents to the Swarms Marketplace 🏪👾
We just released an open-source GitHub repository, Swarms Skills, featuring 2 agent skills that give AI coding agents access to the Swarms Marketplace through its MCP server and REST API.
The repository supports integrations with Claude Code, Codex, VS Code, Cursor, Claude Desktop, and other MCP-compatible agents, making it easier to search, access, and publish marketplace resources directly from existing workflows.
Learn more ⬇️🧵
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Read the full update blog in Chinese
swarms.ai/zh/blog/swarms-mar…
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Conclusion
With Swarms Skills, developers can access the Swarms Marketplace directly from the AI coding tools they already use.
From installing skills through skills.sh to connecting through MCP and API integrations, getting started is easier than ever.
Explore the repository, install the skills, and give your AI agents access to a growing ecosystem of agents, prompts, and tools.
Learn more: github.com/The-Swarm-Corpora…
Introducing the Latest Swarms v17 Developer Guides 👾
Swarms v17 InterLink is here, bringing major improvements to multi-agent communication, orchestration, performance, and scalability.
To help developers get the most out of this release, we've published 8+ new blogs and tutorials covering the latest features, practical implementations, and key improvements across the framework.
Learn more ⬇️🧵
Introducing Swarms v17 "InterLink " 🔁👾
Swarms is now the fastest and most scalable multi-agent framework in Python, delivering 10–40x faster performance than competing frameworks like LangChain, AutoGen, and others.
InterLink brings major upgrades to the ecosystem, including:
- Communication Channels for seamless agent-to-agent communication.
- Routehub replacing LiteLLM, delivering up to a 20x speed improvement.
- Significant performance, scalability, and infrastructure enhancements.
This is a major leap forward for building, orchestrating, and scaling multi-agent systems.
Learn more ⬇️
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Find More Tutorials
Want to learn more about Swarms v17, explore our API, or discover what's possible with the Swarms Marketplace?
Visit our official blog for more tutorials, technical guides, product updates, and resources to help you build with Swarms.
Explore more: swarms.ai/blog
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Support the Swarms Ecosystem
Help us build the future of multi-agent AI.
Show your support for the Swarms Python Framework by starring the repository, forking the project, sharing it with other developers, and contributing to its continued development.
Every star, contribution, and collaboration helps us grow the open-source ecosystem and push the boundaries of multi-agent systems.
Get involved and contribute on GitHub:
github.com/kyegomez/swarms
Swarms is #1 in Agent Infrastructure worldwide
Learn more about our infra stack below ⬇️
Solana AI Agent Mapping Out 📸
🔸 Build & Tooling : @OpenClaw, @elizaOS, @goat_sdk, @virtuals_io, @codecopenflow, @Chain_GPT, @CoralOS_ai, @lanatools, @metaplex, @solana_devs, @n8n_io
🔸 Infrastructure & Intelligence : @swarms_corp, @Helius, @nodepay_ai, @xmaquina, @saidinfra, @VeryAI, @corbitsdev, @PerleLabs, @mobyagent, @EmblemVault, @StrawberryAI_5, @homebrewrobots, @grass, @NousResearch, @TokenOS_AI, @jailbreakme_xyz, @SingulantChain
🔸 Wallets, Payments & Identity: @bankrbot, @t54ai, @Karmawallet, @x402, @PayAINetwork, @zauthinc, @privy_io, @crossmint, @moonpay
swarms retweeted
Polydash agents run on the @swarms_corp framework.
→ Router dispatches each task to a specialist agent
→ Live on-chain data + contract lookups injected as context
→ Inference via the Swarms Cloud API
→ Per-user rate limits
PolyCTO, Poly Agent and PolyForge, live on Telegram and polypad.family.
Let’s keep shipping 🚢
Introducing Comms Channels on Swarms v17 👾📞
You can now choose how your agents communicate with one another.
Connect your agent team through different channels, including Files, HTTP, and Databases, giving you more flexibility in how your agents communicate & collaborate.
Learn more ⬇️
Introducing Swarms v17 "InterLink " 🔁👾
Swarms is now the fastest and most scalable multi-agent framework in Python, delivering 10–40x faster performance than competing frameworks like LangChain, AutoGen, and others.
InterLink brings major upgrades to the ecosystem, including:
- Communication Channels for seamless agent-to-agent communication.
- Routehub replacing LiteLLM, delivering up to a 20x speed improvement.
- Significant performance, scalability, and infrastructure enhancements.
This is a major leap forward for building, orchestrating, and scaling multi-agent systems.
Learn more ⬇️
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Examples with Channels with Every Structure
Learn how to integrate Channels with the top multi-agent harnesses on Swarms
docs.swarms.world/examples/c…
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Star, Fork, and Contribute
Enjoying Swarms?
Support the project by starring, forking, and contributing to our GitHub repository.
Every contribution helps us grow and improve the future of collective intelligence.
github.com/kyegomez/swarms
