Your agent has a half-life
Why AI agents keep failing on long multi-step jobs: a 95% reliable agent finishes 48 steps 8.5% of the time. The fix is a resumable run, not a better model.
Construct Computer Blog11 min read
Agent Memory
229 stories
Introducing SurrealDB Studio and what it means for you
Introducing SurrealDB Studio: the new app for working with your SurrealDB instances and Spectron contexts, and the most powerful way to interact with your data.
SurrealDB Blog8 min read
Best Claude Code Skills in 2026: 12 New Skills and What Changed
Important Claude Code skills shipped since February 2026, what each replaces, install commands, and the security problem that came with the marketplace.
Maximem Synap Blog14 min read
Tracking Secrets Through an Agent Run
How Sim tracks the secrets an agent run actually uses, carries that provenance across tools and storage, redacts values at every egress boundary, and records which run touched which credential.
Sim Blog8 min read
Integrating Ultima VII with SurrealDB Agent Memory: the testing
How Ultima VII was integrated with SurrealDB Agent Memory via Exult code changes to emit events and a Rust app using egui between the game and Agent Memory.
SurrealDB Blog9 min read
Chat with your meeting notes: CocoIndex graph with SurrealQL
A folder of Markdown meeting notes becomes a self-maintaining knowledge graph in SurrealDB with CocoIndex and Pydantic AI, fenced in by a database role.
SurrealDB Blog24 min read
Announcing the Snowflake integration for SurrealDB
SurrealDB imports Snowflake tables directly. Move warehouse data into a context layer where facts, relationships, vectors and agent memory live in one engine.
SurrealDB Blog5 min read
Agent memory needs three clocks: tri-temporal belief history
Why tri-temporal belief history is needed for agent memory to properly simulate human memory and how to work with SurrealDB Agent Memory to best use it.
SurrealDB Blog5 min read
Integrating Ultima VII with SurrealDB Agent Memory: the game
Why Ultima VII through the Exult open-source game engine ended up being the perfect testing platform for SurrealDB Agent Memory
SurrealDB Blog9 min read
How to Choose an AI Agent Platform for Your Team
A vendor-agnostic evaluation checklist for AI agent platforms: pilot-failure data, six evaluation criteria, governance pressure, and a scorecard you can reuse.
Construct Computer Blog13 min read
AI Agent vs Zapier Automation
Zapier runs a fixed trigger-action recipe. See how an AI agent plans its own steps instead, with a side-by-side of the same recurring workflow built both ways.
Construct Computer Blog9 min read
Agent Memory Failures Show Up First in Production Conversations
AI agent memory failures rarely announce themselves as bugs. They show up as repeated questions, stale assumptions, weird personalization, and lost trust.
Agnost AI Blog3 min read
Agentic Context Management: Agent Memory Is Not Merely a Storage & Retrieval Problem, It Is an Architecture Problem
Most teams building AI agents are treating memory and inference cost as something the next model release will eventually fix. They believe that a bigger context window , a smarter retriever, a cheaper token rate, etc. would absolve the need for a system for solving agent memory . This posture is…
Maximem Synap Blog4 min read
Every agent needs a computer
How Replicas makes parallel engineering work possible, from implementation and browser verification to PR review, and the infrastructure behind it.
Replicas Blog9 min read
AI Employee for Real Business Work
Meet the AI employee that researches, operates tools, creates files, and runs recurring work from a persistent, supervised workspace.
Construct Computer Blog8 min read
Construct vs ChatGPT, Claude, and Gemini
Compare Construct with chat assistants such as ChatGPT, Claude, and Gemini across workspace, tools, memory, schedules, and workflows.
Construct Computer Blog8 min read
AI Agent Memory You Can Control
Give an AI agent persistent memory with provenance, corrections, temporal context, and controls to inspect, update, forget, or restore what it knows.
Construct Computer Blog8 min read
Agentic Context Engineering: How AI Agents Learn Without Context Collapse
Agentic context engineering uses a seven-step context loop, verification gates, retrieval, and evals to help AI agents learn without context collapse.
Lev8 Blog13 min read
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