Agentis-Omni is the general purpose powerhouse
Capable of pulling data from anywhere on the web and transforming it into actionable insights
Development, Research, Analysis and more
Agentis-Omni has seen a massive performance boost with the new Claude 4 models
Our Mixture of Agents architecture means plugging new models into the agent team is as simple as changing a few lines of code
Here Agentis-Omni analyzes TSLA stock and creates a visual report with…
Building a Manus like team of agents using the Agentis-Framework
This is a basic non specialized hierarchical team that is adaptable to any domain
Coordinator + Code Execution + Browser-Use + Brave Search agent
Example repo w/ tutorial will be published soon
Agentis-MCP framework prioritizes MCP servers opposed to traditional tools
Here we have a Claude 3.7 agent with filesystem + brave mcp researching stocks and then creating a file with an investment plan
Persistent connection enables multi-turn tool interaction in each server…
Agentis-framework now supports MCP servers
attach mcp servers to your agent the same way you attach a standard tool
Model Context Protocol > Standard Tools
#agentis
Major upgrades being made to Wexley’s analysis capability over the next couple weeks
This agent is running entirely on our ‘agentis-framework’ and we plan to use him to showcase what is possible
Video tutorial coming soon!
Major upgrades being made to Wexley’s analysis capability over the next couple weeks
This agent is running entirely on our ‘agentis-framework’ and we plan to use him to showcase what is possible
Video tutorial coming soon!
Quick start demo has been set to use 3.7 sonnet as the default model
Console output has been reformatted and now displays tool usage in real time
npm install agentis
v0.2.0 of our multi-agent framework is live
A single import statement now provides you with:
- memory management
- runtime orchestration
- inter-agent communication
- persistence layer
- tool integration
'npm install agentis'
github.com/AgentisLabs/Ag…
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