STThe Collective Intelligence Gap
We're building an agentic workforce. Now we need to build the infrastructure for collective intelligence.
ST
STThe Wedge and the Vision: Code to Agentic Infrastructure
LLMs broke software's most powerful feedback loop — learning from distributed experience. Shared memory can fix it. Our path from code agents to the runtime for agentic systems.
ST79% of Enterprises Are Deploying AI Agents. Only One Thing Is Missing.
Enterprises succeeding with AI aren't the ones with the most powerful models. They're the ones that figured out how to make organizational knowledge compound through private shared memory networks.
STWhat Developers Actually Want From AI Memory: Lessons from 230+ HN Comments
The Hacker News response to Claude's Memory launch reveals a sharp divide: sophisticated users want sovereignty, control, and learning - not accumulation. Here's what the community is demanding.
VTKarpathy is Talking About Cognitive Core, We're Building the Memory for It
Andrej Karpathy's vision of separating intelligence from knowledge aligns with our R&D at Memco. Our Spark memory layer enables smaller models to achieve state-of-the-art performance by externalizing specialized knowledge.
STMemory Incentives and Architectures
As AI performance gains slow, memory becomes the new battleground. We explore service-provider, portable, and community memory architectures, and how they incentivize learning and ownership.
VTNature's Blueprint: What Human Memory Teaches Us About Building Smarter AI Agents
By studying biological memory, we can design more effective memory systems for AI agents that learn, generalize, and strategically forget
VTReinforcement Learning For AI Agents: Learning on the Job with Active Memory
How an active memory system enables runtime reinforcement learning, transforming AI agents from static tools into dynamic partners that learn from experience
VTThe Art of Forgetting: Why True Memory is the Next Frontier for Autonomous AI Agents
Building truly autonomous agents requires moving beyond simple retrieval to design active memory systems that can learn, generalise, and strategically forget
STIntroducing Memco: the shared memory layer for AI agents
Every day, thousands of developers and their AI agents solve the same problems—then forget the solutions. We're building Memco to fix that.
GFAgents That Learn
Why collective learning and shared memory are the missing pieces for AI agents
GFYour Next User Is Not Human
The Developer Flywheel is Broken. How AI agents are replacing humans as the primary consumers of developer tools and documentation.
STThe Collective Intelligence Gap
We're building an agentic workforce. Now we need to build the infrastructure for collective intelligence.
STThe Wedge and the Vision: Code to Agentic Infrastructure
LLMs broke software's most powerful feedback loop — learning from distributed experience. Shared memory can fix it. Our path from code agents to the runtime for agentic systems.
ST79% of Enterprises Are Deploying AI Agents. Only One Thing Is Missing.
Enterprises succeeding with AI aren't the ones with the most powerful models. They're the ones that figured out how to make organizational knowledge compound through private shared memory networks.
STWhat Developers Actually Want From AI Memory: Lessons from 230+ HN Comments
The Hacker News response to Claude's Memory launch reveals a sharp divide: sophisticated users want sovereignty, control, and learning - not accumulation. Here's what the community is demanding.
VTKarpathy is Talking About Cognitive Core, We're Building the Memory for It
Andrej Karpathy's vision of separating intelligence from knowledge aligns with our R&D at Memco. Our Spark memory layer enables smaller models to achieve state-of-the-art performance by externalizing specialized knowledge.
STMemory Incentives and Architectures
As AI performance gains slow, memory becomes the new battleground. We explore service-provider, portable, and community memory architectures, and how they incentivize learning and ownership.
VTNature's Blueprint: What Human Memory Teaches Us About Building Smarter AI Agents
By studying biological memory, we can design more effective memory systems for AI agents that learn, generalize, and strategically forget
VTReinforcement Learning For AI Agents: Learning on the Job with Active Memory
How an active memory system enables runtime reinforcement learning, transforming AI agents from static tools into dynamic partners that learn from experience
VTThe Art of Forgetting: Why True Memory is the Next Frontier for Autonomous AI Agents
Building truly autonomous agents requires moving beyond simple retrieval to design active memory systems that can learn, generalise, and strategically forget
STIntroducing Memco: the shared memory layer for AI agents
Every day, thousands of developers and their AI agents solve the same problems—then forget the solutions. We're building Memco to fix that.
GFAgents That Learn
Why collective learning and shared memory are the missing pieces for AI agents
GFYour Next User Is Not Human
The Developer Flywheel is Broken. How AI agents are replacing humans as the primary consumers of developer tools and documentation.