
@swarms_corp Growth Engineer| @meteoraeco Member| Doc Student. Launching AI agent for the real world: https://teapaw.org/t.co/uYuo8Ljnl2
AI Universe🤖
Joined August 2022
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"Building a multi-agent system is kind of like an art & science big together, you need to be creative & also need to experiment & get those rough spot out & can only do that through iteration"
Swarms CEO, shared his favorite feature on @swarms_corp Cloud called COMPARE AGENT.
In this video, he breaks down how Compare Agent works and how you can use it to test, compare, and iterate on your agents to build better multi-agent systems.
Swarms gotta be the best AI agent launchpad out there on @solana alot of new features keep being shipped and they are so massively underrated, soon enough when the use of ai agent becomes more advanced, @swarms_corp will be the best place to build more of them and monetize them...
Cryptonian🩺 (Swarms) retweeted
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 ⬇️
Swarms Marketplace is extending the reach of AI agents through its dedicated MCP Server Marketplace.
The platform brings together a growing collection of MCP servers, from web search and data extraction to databases, APIs, coding and research, users can discover and connect tools that enable agents to interact with external services.
Developers can also bring their own MCP servers to the marketplace, making their tools accessible to a wider audience.
Each listing comes with its capabilities and access details, allowing users to evaluate and integrate available tools into their workflows.
With support for free and paid listings, builders can distribute their MCP servers and generate revenue from their work.
Swarms Launchpad trading activity, happening live and recorded on-chain.
Each transaction reflects actual market movement, with tokens being traded, liquidity circulating and volume accumulating across the ecosystem.
The live feed captures these developments as they happen, offering a clear view of individual trades and overall market activity across launched tokens.
Powered by Meteora DBC, Swarms brings token launches and subsequent trading into a connected on-chain environment.
From individual exchanges to wider market movements, the entire process remains transparent and visible.
An existing API can become a tool that AI agents can discover and use through MCP.
Swarms has published a practical guide showing developers how to turn any HTTP API into an MCP server and list it on the Marketplace.
Using Python and FastMCP, the tutorial demonstrates how to:
• Convert API endpoints into callable MCP tools.
• Define typed arguments and tool descriptions.
• Test the server and implement bearer-token authentication.
• Deploy it through Docker with a public HTTPS endpoint.
• Publish it on Swarms Marketplace.
Once listed, Swarms automatically inspects the server, reads its available tools and generates connection instructions for clients like Claude, Cursor and VS Code.
Developers can offer free or paid access, with 90% of every sale going to the creator.
Cryptonian🩺 (Swarms) retweeted
Swarms Framework v17 introduces Comms Channels, a major step forward in multi-agent coordination.
Agents can now communicate through shared channels, publishing messages, accessing previous contributions and maintaining context across separate executions.
The feature supports six implementations: File, Queue, SQLite, HTTP, SMTP and AgentMail.
This provides multiple ways to coordinate agents, whether through local storage, databases, message queues, remote servers or email.
With persistent communication and shared context, agents can build on one another's work instead of repeatedly starting from scratch.
Comms Channels make more coordinated, connected and persistent multi-agent workflows possible.
Swarms Framework v17 introduces Comms Channels, a major step forward in multi-agent coordination.
Agents can now communicate through shared channels, publishing messages, accessing previous contributions and maintaining context across separate executions.
The feature supports six implementations: File, Queue, SQLite, HTTP, SMTP and AgentMail.
This provides multiple ways to coordinate agents, whether through local storage, databases, message queues, remote servers or email.
With persistent communication and shared context, agents can build on one another's work instead of repeatedly starting from scratch.
Comms Channels make more coordinated, connected and persistent multi-agent workflows possible.
Swarms Framework v17, codenamed InterLink, is here.
This release brings a significant improvement to how agents communicate, coordinate and execute tasks.
Key developments include shared Comms Channels, Phased Fan-Out Workflows, improved concurrency and RouteHub integration.
Framework import time has dropped from 1.91 seconds to just 0.28 seconds.
Concurrent and graph workflows can now execute entire layers of agents without the previous default concurrency restrictions.
The release also introduces improved streaming, cleaner execution states and more reliable error handling.
With 227 commits across 271 files, v17 makes Swarms faster, more connected and considerably leaner.
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 ⬇️
Cryptonian🩺 (Swarms) retweeted
1879: the lightbulb was early
1993: the web was early
2007: the iphone was early
2026: solana is right on time.
see you at breakpoint.
Cryptonian🩺 (Swarms) retweeted
JUST IN: Binance says user activity is “improving” with hourly deposits now exceeding withdrawals.
Cryptonian🩺 (Swarms) retweeted
Replying to @brian_armstrong
Build the agent swarms with @swarms_corp
swarms.ai
Build alongside @solanalabs with @incubator Cohort 6
Applications are now open for 3 months of support, mentorship and guidance in NYC
Cryptonian🩺 (Swarms) retweeted
Solana Launchpad by Tier 📸
🔸Tier S : @Pumpfun
🔸Tier A : @LaunchOnSF , @MeteoraAG, @bonkfun, @Raydium
🔸Tier B : @BagsApp , @moonshot , @JupiterExchange , @embercurve , @swarms_corp , @Hoookedpad
🔸Tier C : @candletv , @anoncoinit , @PerpsPadfun , @ForgeLaunchPad , @buypurps
🔸Tier D : @orynth, @revshare_app, @EasyA_Kickstart
Cryptonian🩺 (Swarms) retweeted
Swarms is now the fastest and most scalable agent framework ever built in Python
Learn more of our latest update ⬇️
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 ⬇️
















