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agents
100 postsStateless MCP and the End of Custom Session Workarounds for Long-Running Agents
Stateless MCP simplifies session management for long-running agents. The new approach reduces the impact of server failures.
Building Persistent Context for Coding Agents
Festival helps coding agents maintain context, reducing the workload for engineers.
Building On-Call Agents That Learn Using LangChain Memory
Solve memory issues for on-call agents with LangChain's learning memory architecture.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comData Systems for, of, and by Agents: The Era of Free Intelligence
As AI costs decrease, new challenges and opportunities for data systems emerge. Agents will dominate workloads, requiring system redesign.
Nanocodex: Headless Rust Agents SDK
Nanocodex is a headless Rust agents SDK that facilitates user interaction and session management.
A11 vs Agentic Systems: Vertical Integrity Addresses Core AI Agent Failures
A11 enhances safety and explainability in AI agents by introducing a vertical structure to address core failures.
One AI Tool Server for Three Different Agents: MCP Explained
MCP enables a single AI server to provide image generation across different applications.
Designing the NeuroOffice AI Agent Architecture: Insights and Future Plans
Explore the NeuroOffice AI agent architecture at Y-tech Bank, detailing design insights and future goals.
Managing AI Sub-Agents: Issues Encountered and Solutions Built
Insights on common issues faced while managing AI sub-agents and structural solutions to address them.
Reading Agent Traces Reveals What Evals Can't Decide
An agent built for AI Engineer World's Fair invented fake speakers. Reading agent traces, not evals, caught it—key lessons on model choice, cost, and observability for engineers.