Evolve Network (@EvolveNetworkAI) header
Evolve Network (@EvolveNetworkAI) profile picture

Decentralized AI agents platform on a global compute network.

Joined April 2023
Photo by Evolve Network (@EvolveNetworkAI)Photo by Evolve Network (@EvolveNetworkAI)Photo by Evolve Network (@EvolveNetworkAI)Photo by Evolve Network (@EvolveNetworkAI)Photo by Evolve Network (@EvolveNetworkAI)Photo by Evolve Network (@EvolveNetworkAI)Photo by Evolve Network (@EvolveNetworkAI)Photo by Evolve Network (@EvolveNetworkAI)Photo by Evolve Network (@EvolveNetworkAI)Photo by Evolve Network (@EvolveNetworkAI)
Include

Only show posts containing:

Exclude

Hide posts containing:

Time range
-
Minimum likes
R1-0528 has *a very different style of reasoning*
30
25
5
880
159,636
This is the beginning of the AGI path, not as a monolith, but as an ecosystem. You, us, and all of us will be shaping it as we go. Join the evolution.
4
347
And yes, we’re building humanoid robots too. This isn’t just a digital platform. We’ve hinted before that we're also working on Dropbear, an open-source 6'2" humanoid robot designed to operate in varied environments, showcasing agility, precision, and intelligence. Built with @hyperspawn and @POINTBLANK_LLC. The integration of Dropbear into the Evolve ecosystem bridges the gap between digital intelligence and physical action. It allows for the deployment of AI agents in real-world scenarios, expanding the potential applications of the platform.
1
1
6
562
Let’s go deeper into the Tools, Memory, and Flow. Each agent can be equipped with: - Memory: to store/retrieve personalized data. - Tools: In-built tool-calling support for web search, APIs, scraping, code execution, image gen. - MCP servers: for the agents to communicate with other apps on the internet. - Runtime Code Interpreter: for writing and executing code written by LLMs on the fly.
1
2
100
So how are these agents actually running? Not using OpenAI or Claude API. We’re building a p2p network for LLMs, inspired by @BitTorrent network and @BOINCNetwork . Open source models like @deepseek_ai R1, @Alibaba_Qwen 3 are served by community nodes running GPUs. So when you create or interact with an agent, the model is served from other people’s machines. This makes the whole system decentralized, and more scalable long-term.
1
1
152
First up, the Agents Platform. This is the core offering at the moment. You describe what you want your AI agents to do (simple or complex digital tasks), and the platform orchestrates memory, tools, function calls, execution flow - to build multi-agent flows like task pipelines. One agent scrapes info, another analyzes it, another handles output.
1
7
1,156
For the last few weeks, we’ve been deep in the forge. We've been building. Tuning every element from UX to Agentic features to rethinking the distributed LLM network design. Yes, we’re back. AI Agents, tools, distributed compute, robotics - the stack is all coming together. Let’s take a look at what’s under the hood👇
1
2
11
224,796
Our assembly is now cat approved™
4
10
3
151
12,009
Last Sunday we hosted our first ever Evolve Hackathon in Pune, India — and the energy was unreal. From feature rebuilds to cutting-edge ideas, people came in fast, sharp, and ready to build. Big shoutout to our top builders: 🥇 Rushikesh Adhav 🥈 Atharva Pande We’re building one of the most advanced AI Agents platform and this is just the beginning. We're hiring. Fullstack. Distributed Systems. Cracked Devs. Follow for what’s coming next.
2
21
57,728