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agents
90 postsDesigning the Moment an AI Agent Needs Human Input
When an AI agent asks a question, it's a handoff of responsibility, not chat. A practical framework for designing notifications, approvals, and safe resumption.
GLM 5.2 and the Open-Source Shakeup of AI Profit Margins
Zhipu AI's open-source GLM 5.2 rivals GPT-4o performance via MoE architecture while slashing inference costs, reshaping AI's profit margin economics.
Static Scanner Finds 30 Unguarded Destructive Actions in AI Agent Frameworks
An open-source scanner analyzed 25 AI agent frameworks and confirmed 30 cases where models can delete data, deploy, or send webhooks unauthorized.
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.comEngrava: A Deterministic Memory Library for AI Agents Built on SQLite
Engrava is an MIT-licensed Python library storing agent memory as a typed graph in SQLite, with deterministic consolidation instead of LLM rewrites.
VetoBench Tests Whether AI Agent Memory Retains Rejected Decisions
VetoBench is an open benchmark testing whether AI agent memory systems retain and surface previously rejected technical decisions.
Inside Claude Science: How Anthropic's Daemon-Driven Harness Works
A technical breakdown of Claude Science's daemon-mediated host RPC, kernel authority split, and agent-harness architecture.
Open AI-Agent Incident Database Lists 32 Failures, Admits Its Gaps
ARE Incident Database catalogs 32 real AI agent failures mapped to OWASP ASI Top 10, with runnable repros and honestly flagged coverage gaps.
When Agent Tools Return Empty: Who Decides What It Means
Why empty results from agent tool calls hide three distinct failure states, and how typed states, evidence, and retry semantics fix the gap.
AI Agent Memory Is Just a Smarter Filing Cabinet
Today's AI agent 'memory' is retrieval in disguise—it can't tell if past answers were right. Real memory needs judgment that learns from outcomes.
VetoBench Tests Whether AI Agents Forget Rejected Decisions
VetoBench is an open benchmark asking whether AI memory systems re-propose previously rejected engineering decisions, not just whether retrieval works. Results are striking.