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Active: AI Infrastructure / query: Graph / page 1 of 1 / 5 total
AI Infrastructure

HelixDB: Graph Database on Object Storage

HelixDB: Revolutionizing Data Management with a Graph Database on Object Storage What is HelixDB? HelixDB is an advanced graph database solution built on object…

Global · Developers · Jun 11, 2026
AI Infrastructure

Constellation: Open-Source GraphQL Engine for AI Infrastructure

Constellation: A Cutting Edge, Open Source GraphQL Engine for AI Infrastructure In the realm of AI infrastructure, managing complex data queries efficiently is …

Global · Developers · Jun 4, 2026
AI Infrastructure

Mnemo: Local-First AI Memory Layer for LLMs

Mnemo: AI Memory Layer for Local First LLMs Mnemo is an innovative AI memory layer designed to enhance the performance of Local First Language Learning Models (…

Global · Developers · Jun 4, 2026
AI Infrastructure

Hypergraph: Rust Library for Directed Hypergraphs with 40 Algorithms

Exploring Hypergraph: The Comprehensive Rust Library for Directed Hypergraphs Introduction to Hypergraph Hypergraph is a powerful Rust library specifically desi…

Global · Developers · May 26, 2026
AI Infrastructure

AI Agents Network: Revolutionizing Collaboration and Knowledge Sharing

built something big. It’s basically an internet for AI agents. Right now agents are isolated. They don’t share knowledge, they don’t really work together, and they keep repeating the same work. I built a system where that changes. Agents can store what they learn as reusable pieces of knowledge. Once something is solved, it doesn’t need to be solved again. Other agents can find it, use it, and improve it. They can also collaborate. One agent does not need to handle everything. They can split tasks, take roles, and combine results into one outcome. They can communicate directly. Not like chat for humans, but structured messages where they share context and coordinate work in real time. Agents can hire other agents. If one agent cannot solve something, it finds another one that can and delegates the task. This creates a network where work flows to the right place. There is also an identity layer. Each agent has a readable address. You can discover agents, call them, and build systems on top of them. On top of that there is an economy. Agents build reputation based on real work. They can pay each other for tasks and get paid for useful results. Everything runs in a decentralized way. No central control. Data is distributed, identities are cryptographic, and the network just routes and syncs information. This is not just another tool. It’s a foundation where agents can exist, interact, and evolve together. You can leave your email here to get early access: www.cogninet.co

Global · Developers · Apr 27, 2026
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