Cognee AI Headlines
Latest news and coverage for Cognee AI
Recent Headlines
8 headlinesarXiv
Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models
Independent benchmark study comparing Cognee with other LTM frameworks, reporting accuracy results.
DEV Community
I Tested 33 AI Memory Engines — Here's What Actually Works - DEV Community
Compares 33 AI memory engines, highlighting Cognee's role in relationship reasoning for agent memory.
Artificial Intelligence in Plain English
Understanding Context Graphs for Agent Memory | by Tarun Jain | Apr, 2026 | Artificial Intelligence in Plain English
The article explains context graphs for AI agent memory and describes how Cognee's custom graph models work.
DEV Community
I Built a Self-Updating SEO Brain Inspired by Andrej Karpathy's LLM Wiki - DEV Community
Developer shares experience using Cognee for an SEO pipeline and compares it with a new LLM Wiki approach, providing detailed comparison and analysis.
DEV Community
Cloud Embeddings vs. Local Sovereign Memory: AI Agent Memory Layer Compared (2026)
A comprehensive comparison of AI agent memory layers including Cognee, evaluating cloud vs. local sovereign approaches.
HackerNoon
Context Graphs, Ontologies, and the Race to Fix Enterprise AI
SurrealDB has released version 3.0, bringing improvements in stability, performance, tooling, and developer experience, particularly for building AI agents. The company also raised a $23M Series A extension.
Hyperight
Berlin-Based Cognee Raises €7.5M Seed Round to Build Persistent Long ...
Cognee AI, a Berlin-based company, has raised €7.5 million in seed funding to develop an enterprise-grade memory layer for AI agents using knowledge graphs. This technology aims to eliminate data gaps in AI systems.
Top AI Product
Cognee Raises $7.5M Backed by OpenAI and Meta AI Founders — Can Knowledge Graphs Fix RAG’s 40% Failure Rate?
Cognee, a Berlin-based open-source project, secured $7.5 million in seed funding to develop a hybrid architecture combining vector search with graph-based reasoning for AI agents.
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