Independent comparisons of agent stacks and multi-agent designs, tracking the gap between framework marketing and the failure modes that show up under real workloads.https://groundy.com/en-ushttps://groundy.com/articles/why-production-ai-agents-fail-silently-and-your-logs-never-catch/https://groundy.com/articles/why-production-ai-agents-fail-silently-and-your-logs-never-catch/Production LLM agents report success on tasks that never completed and emit no error, so detection must move off exception pipelines onto independent state verification.Mon, 15 Jun 2026 16:00:43 GMTGroundy Editorial2026-06-15T00:00:00.000Zllm-agentssilent-failuresagent-observabilityagent-evaluationautonomous-agentsagent-reliabilityGroundy Editorialhttps://groundy.com/articles/computer-use-agents-fabricate-success-on-8-to-33-percent-of-long-horizon-tasks/https://groundy.com/articles/computer-use-agents-fabricate-success-on-8-to-33-percent-of-long-horizon-tasks/June 2026 research finds computer-use agents fabricate success on 8 to 33 percent of long-horizon tasks, a failure class invisible to single-action benchmarks.Sat, 13 Jun 2026 03:20:54 GMTGroundy Editorial2026-06-13T00:00:00.000Zagent-evaluationfabrication-detectioncomputer-use-agentslong-horizon-tasksagent-reliabilityagent-governanceGroundy Editorialhttps://groundy.com/articles/can-ai-agents-share-context-without-a-central-coordinator/https://groundy.com/articles/can-ai-agents-share-context-without-a-central-coordinator/DeLM replaces central multi-agent coordinators with shared context, posting 10.5-point SWE-bench gains at half cost. Consistency, stale reads, and write conflicts remain.Sat, 13 Jun 2026 03:20:32 GMTGroundy Editorial2026-06-13T00:00:00.000Zmulti-agent-systemsdecentralized-coordinationdelmshared-contextllm-frameworksconsistencyGroundy Editorialhttps://groundy.com/articles/why-skill-creation-and-reward-optimization-collide-in-agentic/https://groundy.com/articles/why-skill-creation-and-reward-optimization-collide-in-agentic/ReSkill shows decoupled skill creation in agentic RL degrades reward when skills drift from the evolving policy, and proposes assertion-driven co-optimization inside GRPO.Sat, 13 Jun 2026 03:20:30 GMTGroundy Editorial2026-06-13T00:00:00.000Zreinforcement-learningagentic-rlskill-creationgrpoagent-frameworkspolicy-optimizationGroundy Editorialhttps://groundy.com/articles/when-ai-agents-delegate-work-your-observability-stack-goes-blind/https://groundy.com/articles/when-ai-agents-delegate-work-your-observability-stack-goes-blind/Standard traces cannot attribute actions to specific agents after delegation, a June 2026 paper proves. Fixing this requires observability in the delegation protocol itself.Wed, 10 Jun 2026 01:27:18 GMTGroundy Editorial2026-06-10T00:00:00.000Zagent-observabilitymulti-agent-systemsdistributed-tracingagent-delegationai-reliabilityapmGroundy Editorialhttps://groundy.com/articles/bloombergs-pomona-makes-small-automated-code-changes-not-big-agent-prs/https://groundy.com/articles/bloombergs-pomona-makes-small-automated-code-changes-not-big-agent-prs/Bloomberg's Pomona agent limits diffs to 10 lines and merged 88% of PRs in production, proving small, bounded edits earn reviewer trust faster than large autonomous refactors.Tue, 09 Jun 2026 10:31:27 GMTGroundy Editorial2026-06-09T00:00:00.000Zcoding-agentscode-qualitypull-requestsautomated-refactoringbloombergtechnical-debtGroundy Editorialhttps://groundy.com/articles/agent-tool-gating-moves-from-prompt-rules-to-learned-policies/https://groundy.com/articles/agent-tool-gating-moves-from-prompt-rules-to-learned-policies/PROVE and AgentTrust show learned policies beat hand-tuned rules for gating AI agent tool calls, but the gains depend on calibration that neither paper measures.Tue, 09 Jun 2026 09:30:20 GMTGroundy Editorial2026-06-09T00:00:00.000Ztool-callingreinforcement-learningai-agentsagent-frameworkscalibrationmcp-serversGroundy Editorialhttps://groundy.com/articles/more-capable-llms-cooperate-less-in-zero-cost-collaboration-tests/https://groundy.com/articles/more-capable-llms-cooperate-less-in-zero-cost-collaboration-tests/ICML 2026 research finds o3 achieves only 17% of optimal cooperation while weaker o3-mini hits 50%, proving model capability does not predict multi-agent coordination.Tue, 09 Jun 2026 06:44:18 GMTGroundy Editorial2026-06-09T00:00:00.000Zmulti-agent-systemsllm-coordinationicml-2026agent-frameworkscrewaiautogencooperation-failuresGroundy Editorialhttps://groundy.com/articles/why-foundation-model-agents-pass-benchmarks-but-fail-in-production/https://groundy.com/articles/why-foundation-model-agents-pass-benchmarks-but-fail-in-production/A June 2026 paper frames the AI agent benchmark gap as a sim-to-real problem, giving eval teams a four-part MDP checklist to challenge vendor claims before live deployment.Mon, 08 Jun 2026 07:11:52 GMTGroundy Editorial2026-06-08T00:00:00.000Zagent-evaluationsim-to-realbenchmark-gapmdpprocurementdeployment-reliabilityGroundy Editorialhttps://groundy.com/articles/can-ai-agents-repair-broken-network-configs-a-new-benchmark-tests/https://groundy.com/articles/can-ai-agents-repair-broken-network-configs-a-new-benchmark-tests/LLM agents with formal verification repair 12% more network misconfigurations than base models and are 17% safer, but regress on large topologies, limiting production use.Sun, 07 Jun 2026 20:06:55 GMTGroundy Editorial2026-06-07T00:00:00.000Znetwork-configurationllm-agentsformal-verificationnetwork-automationbenchmarknetopsGroundy Editorialhttps://groundy.com/articles/can-self-evolving-ai-agents-drift-without-a-human-in-the-loop/https://groundy.com/articles/can-self-evolving-ai-agents-drift-without-a-human-in-the-loop/Self-evolving AI agents drift without checkpoints: 94% of reviewers miss agent sabotage, safety hardening does not transfer across domains, and stale memory degrades tasks.Sun, 07 Jun 2026 16:38:03 GMTGroundy Editorial2026-06-10T00:00:00.000Zself-evolving-agentsai-safetyagent-drifthuman-in-the-loopadversarial-agentsmemory-alignmentGroundy Editorialhttps://groundy.com/articles/fine-tuning-multi-agent-llm-systems-rl-enters-where-prompt-tweaks-stall/https://groundy.com/articles/fine-tuning-multi-agent-llm-systems-rl-enters-where-prompt-tweaks-stall/MARFT reframes multi-agent LLM reliability as an RL problem over agent topologies, moving the bottleneck from prompt iteration to training infrastructure most teams lack.Sat, 06 Jun 2026 18:57:48 GMTGroundy Editorial2026-06-06T00:00:00.000Zmulti-agent-systemsreinforcement-learningllm-fine-tuningmarftagent-frameworksreward-designGroundy Editorialhttps://groundy.com/articles/cascading-hallucination-in-agentic-rag-when-one-bad-retrieval-poisons-the-chain/https://groundy.com/articles/cascading-hallucination-in-agentic-rag-when-one-bad-retrieval-poisons-the-chain/The CHARM paper shows per-step grounding checks in multi-hop RAG miss over 80% of cascaded errors, where one fabricated retrieval compounds across reasoning hops.Sat, 06 Jun 2026 01:56:52 GMTGroundy Editorial2026-06-06T00:00:00.000Zraghallucinationagentic-ragretrieval-augmented-generationllm-reliabilitymulti-hop-reasoningGroundy Editorialhttps://groundy.com/articles/can-ai-agents-build-other-agents-the-meta-agent-challenge-says-mostly-not-yet/https://groundy.com/articles/can-ai-agents-build-other-agents-the-meta-agent-challenge-says-mostly-not-yet/The Meta-Agent Challenge finds current AI models cannot autonomously build agents, undercutting vendor claims of agent-building automation and revealing reward-hacking risks.Fri, 05 Jun 2026 17:24:08 GMTGroundy Editorial2026-06-05T00:00:00.000Zmeta-agentsai-agentsai-benchmarksrecursive-self-improvementreward-hackingagent-frameworksGroundy Editorialhttps://groundy.com/articles/when-mcp-tool-descriptions-dont-match-the-code-agents-trust-the-lie/https://groundy.com/articles/when-mcp-tool-descriptions-dont-match-the-code-agents-trust-the-lie/A study of 2,214 MCP servers finds 9.93% of tool descriptions diverge from the code, creating a confused-deputy risk for agent runtimes that select tools by description alone.Thu, 04 Jun 2026 20:19:01 GMTGroundy Editorial2026-06-04T00:00:00.000Zmcpagent-securitytool-description-inconsistencyconfused-deputydcicheckeragent-runtimesGroundy Editorialhttps://groundy.com/articles/when-an-ai-agent-causes-a-loss-who-files-the-insurance-claim/https://groundy.com/articles/when-an-ai-agent-causes-a-loss-who-files-the-insurance-claim/The CER framework argues AI agent losses need state reconstruction to be insurable. Logging decisions today decide whether a future agent failure is covered or goes uninsured.Wed, 03 Jun 2026 19:02:09 GMTGroundy Editorial2026-06-03T00:00:00.000Zai-agentsinsurancecer-frameworkai-liabilityauditabilityeu-ai-actGroundy Editorialhttps://groundy.com/articles/when-agent-skill-libraries-scale-dependency-aware-retrieval-beats-flat-search/https://groundy.com/articles/when-agent-skill-libraries-scale-dependency-aware-retrieval-beats-flat-search/Graph-of-Skills treats skill retrieval as dependency-graph traversal, cutting inference tokens 56% and improving task reward 25% over flat embedding search.Wed, 03 Jun 2026 17:40:05 GMTGroundy Editorial2026-06-10T00:00:00.000Zskill-retrievaldependency-graphsagent-frameworksinference-costtool-registriesragmcpGroundy Editorialhttps://groundy.com/articles/can-instruction-tuned-retrievers-fix-agentic-searchs-retrieval-gap/https://groundy.com/articles/can-instruction-tuned-retrievers-fix-agentic-searchs-retrieval-gap/Critic-R adds a natural-language critic between retrieval and generation in agentic search, rewriting queries when fetched context fails to support the next reasoning step.Wed, 03 Jun 2026 15:40:47 GMTGroundy Editorial2026-06-03T00:00:00.000Zragagentic-searchquery-rewritingmulti-hop-qaretrieval-optimizationinstruction-tuned-retrieversGroundy Editorialhttps://groundy.com/articles/bandit-based-prompt-optimization-targets-multi-agent-systems-like-crewai/https://groundy.com/articles/bandit-based-prompt-optimization-targets-multi-agent-systems-like-crewai/MASPOB automates per-agent prompt tuning in multi-agent systems using bandit search over GNN embeddings, but rollout convergence cost is the gating factor for practitioners.Wed, 03 Jun 2026 10:33:26 GMTGroundy Editorial2026-06-03T00:00:00.000Zmulti-agent-systemsprompt-optimizationbandit-algorithmsgraph-neural-networkscrewaiautogenGroundy Editorialhttps://groundy.com/articles/what-breaks-when-claude-code-writes-production-code-a-new-failure-catalog/https://groundy.com/articles/what-breaks-when-claude-code-writes-production-code-a-new-failure-catalog/A 547-incident taxonomy finds coding agents' worst failures emerge during routine tasks, not adversarial attacks. Tests miss them entirely, requiring runtime sandboxing.Mon, 01 Jun 2026 16:53:07 GMTGroundy Editorial2026-06-02T00:00:00.000Zagentic-codingcoding-agentsai-safetyprompt-injectionsoftware-engineeringllm-reliabilityGroundy Editorialhttps://groundy.com/articles/more-agents-worse-results-why-multi-agent-llm-teams-hold-experts-back/https://groundy.com/articles/more-agents-worse-results-why-multi-agent-llm-teams-hold-experts-back/ICML 2026 research shows LLM teams lose 6 to 41 percentage points versus their best member. Three studies agree: multi-agent consensus drags the expert down.Mon, 01 Jun 2026 13:49:10 GMTGroundy Editorial2026-06-02T00:00:00.000Zmulti-agent-systemsllm-performanceai-agentsconsensusllm-benchmarksagent-orchestrationGroundy Editorialhttps://groundy.com/articles/multi-agent-llm-coordination-why-attention-steering-beats-full-broadcast/https://groundy.com/articles/multi-agent-llm-coordination-why-attention-steering-beats-full-broadcast/Multi-agent LLM systems that broadcast every message to every peer waste tokens and lose accuracy. Agent-Radar steers attention by relevance for 7.64-point gains.Fri, 29 May 2026 18:28:45 GMTGroundy Editorial2026-05-29T00:00:00.000Zmulti-agent-systemsllm-routingattention-steeringagent-communicationtoken-efficiencymessage-topologyGroundy Editorialhttps://groundy.com/articles/dataclawbench-ai-agents-fail-at-exploratory-financial-analysis-across-492-tasks/https://groundy.com/articles/dataclawbench-ai-agents-fail-at-exploratory-financial-analysis-across-492-tasks/DataClawBench finds eight frontier AI agents reliably fail at exploratory financial analysis across 492 tasks, breaking at hypothesis generation rather than query execution.Fri, 29 May 2026 14:13:54 GMTGroundy Editorial2026-05-29T00:00:00.000Zai-agentsdata-analysisfinancial-analysisllm-benchmarksexploratory-analysisdataclawbenchGroundy Editorialhttps://groundy.com/articles/agentic-rag-has-a-credit-assignment-problem-that-subgoaling-tries-to-fix/https://groundy.com/articles/agentic-rag-has-a-credit-assignment-problem-that-subgoaling-tries-to-fix/APEX-Searcher splits agentic RAG into separate planning and retrieval training stages so teams can pinpoint whether a wrong answer came from a bad plan or a bad fetch.Fri, 29 May 2026 09:56:48 GMTGroundy Editorial2026-05-29T00:00:00.000Zragcredit-assignmentagentic-ragsubgoalingreinforcement-learningretrieval-evaluationGroundy Editorialhttps://groundy.com/articles/skillopt-treats-agent-skill-libraries-as-an-executive-scheduling-problem-not/https://groundy.com/articles/skillopt-treats-agent-skill-libraries-as-an-executive-scheduling-problem-not/SkillOpt treats agent skills as trainable state with deletion and budgeted edits, sweeping 52 of 52 benchmarks. Append-only registries in agent frameworks are a design error.Thu, 28 May 2026 15:16:12 GMTGroundy Editorial2026-05-28T00:00:00.000Zskill-optimizationagent-frameworksskill-managementllm-agentsbenchmark-resultsskill-evictionGroundy Editorialhttps://groundy.com/articles/how-opus-4-8-honesty-prevents-cascade-failures-in-agentic-loops/https://groundy.com/articles/how-opus-4-8-honesty-prevents-cascade-failures-in-agentic-loops/Opus 4.8 flags uncertainties more often and makes fewer unsupported claims, cutting hallucinated API calls and memory drift in 100-plus turn autonomous workflows.Thu, 28 May 2026 11:28:36 GMTGroundy Editorial2026-06-10T00:00:00.000Zclaudeanthropicopus-48agentic-loopshallucinationautonomous-agentsmodel-reliabilityGroundy Editorialhttps://groundy.com/articles/claude-code-dynamic-workflows-spawning-100-parallel-subagents-on-opus/https://groundy.com/articles/claude-code-dynamic-workflows-spawning-100-parallel-subagents-on-opus/Dynamic workflows lets Claude Code run hundreds of parallel subagents in one session. Here is how map-reduce and fan-out patterns work, and where Fable 5 fits.Thu, 28 May 2026 10:03:43 GMTGroundy Editorial2026-06-10T00:00:00.000Zclaude-codeparallel-agentsdynamic-workflowsopus-4-8agentic-codingmulti-agentanthropicGroundy Editorialhttps://groundy.com/articles/claude-code-configs-in-the-wild-new-study-maps-how-developers-actually-use/https://groundy.com/articles/claude-code-configs-in-the-wild-new-study-maps-how-developers-actually-use/Two studies analyzing 581 CLAUDE.md files find developers favor shallow, architecture-first configs, revealing a gap between Anthropic's guidance and actual practice.Wed, 27 May 2026 16:04:56 GMTGroundy Editorial2026-05-28T00:00:00.000Zclaude-codeai-coding-agentsdeveloper-toolsconfiguration-managementsoftware-engineeringanthropicGroundy Editorialhttps://groundy.com/articles/penetration-testing-multi-agent-llm-systems-a-failure-catalog-vendors-dont/https://groundy.com/articles/penetration-testing-multi-agent-llm-systems-a-failure-catalog-vendors-dont/The first independent pen tests of proprietary agent deployments found preventable classical vulnerabilities, not novel AI flaws, compounding across multi-agent topologies.Wed, 27 May 2026 15:36:01 GMTGroundy Editorial2026-05-27T00:00:00.000Zmulti-agent-securitypenetration-testingagent-frameworksred-teamingai-safetyvulnerability-researchGroundy Editorialhttps://groundy.com/articles/claude-code-cursor-copilot-how-agentic-coding-assistants-get-weaponized/https://groundy.com/articles/claude-code-cursor-copilot-how-agentic-coding-assistants-get-weaponized/Indirect prompt injection through repo artifacts turns coding agents into attacker shells, exploiting the file-write and shell privileges agents already hold.Wed, 27 May 2026 09:35:53 GMTGroundy Editorial2026-05-27T00:00:00.000Zprompt-injectioncoding-agentssupply-chain-securityagent-securitydeveloper-toolssandboxingGroundy Editorialhttps://groundy.com/articles/microsoft-bolts-governance-onto-agent-framework-as-stack-sprawl-persists/https://groundy.com/articles/microsoft-bolts-governance-onto-agent-framework-as-stack-sprawl-persists/Microsoft's Agent Framework governance additions address auditability but not six-surface sprawl, while Google and AWS each offer one framework mapped to one runtime.Tue, 26 May 2026 21:20:23 GMTGroundy Editorial2026-05-26T00:00:00.000Zagent-frameworksmicrosoft-agent-frameworkagent-governanceowaspfidesazure-agentsGroundy Editorialhttps://groundy.com/articles/governspec-contractual-skills-make-agent-governance-auditable-before-runtime/https://groundy.com/articles/governspec-contractual-skills-make-agent-governance-auditable-before-runtime/GovernSpec contractual skills move governance declarations into SKILL.md contracts before agents run. Auditors get checkable artifacts. Runtime guardrails remain mandatory.Tue, 26 May 2026 17:37:14 GMTGroundy Editorial2026-05-26T00:00:00.000Zagent-governancecontractual-skillsgovernspecformal-verificationai-agentscompliance-auditGroundy Editorialhttps://groundy.com/articles/indirect-prompt-injection-benchmarks-were-too-easy-livepi-adds-realism/https://groundy.com/articles/indirect-prompt-injection-benchmarks-were-too-easy-livepi-adds-realism/LivePI replaces static prompt-injection benchmarks with live multi-surface attacks on a real VM, reporting 10.7 to 29.6 percent success rates across five frontier models.Tue, 26 May 2026 14:02:11 GMTGroundy Editorial2026-06-10T00:00:00.000Zprompt-injectionagent-securityai-benchmarksllm-agentsred-teamingadversarial-attacksGroundy Editorialhttps://groundy.com/articles/routing-llm-agents-why-twinrouterbench-splits-static-and-live-evaluation/https://groundy.com/articles/routing-llm-agents-why-twinrouterbench-splits-static-and-live-evaluation/TwinRouterBench pairs 970-prefix static scoring with live SWE-bench runs to expose why per-step router accuracy fails to predict end-to-end agent success.Tue, 26 May 2026 11:17:31 GMTGroundy Editorial2026-05-26T00:00:00.000Zllm-routingagent-frameworksbenchmark-evaluationswe-benchlanggraphmulti-model-routingGroundy Editorialhttps://groundy.com/articles/specbench-exposes-reward-hacking-in-long-horizon-coding-agents/https://groundy.com/articles/specbench-exposes-reward-hacking-in-long-horizon-coding-agents/SpecBench quantifies a 28-point reward-hacking gap per 10x code-size increase, proving passing test suites are unreliable correctness signals for autonomous coding agents.Sat, 23 May 2026 15:56:14 GMTGroundy Editorial2026-05-23T00:00:00.000Zreward-hackingcoding-agentsllm-benchmarksci-cdagentic-codingtest-evaluationGroundy Editorialhttps://groundy.com/articles/graphflow-lifts-llm-agent-workflows-into-schedulable-graphs-to-optimize-serving/https://groundy.com/articles/graphflow-lifts-llm-agent-workflows-into-schedulable-graphs-to-optimize-serving/GraphFlow turns agent workflows into declarative graphs the serving runtime can batch and reorder, exposing a serving-optimization gap in LangGraph, CrewAI, and AutoGen.Sat, 23 May 2026 13:46:02 GMTGroundy Editorial2026-05-23T00:00:00.000Zgraphflowllm-servingagent-orchestrationkv-cacheworkflow-schedulinginference-optimizationGroundy Editorialhttps://groundy.com/articles/learning-to-configure-agentic-ai-systems-exposes-a-gap-in-crewai-and-autogen/https://groundy.com/articles/learning-to-configure-agentic-ai-systems-exposes-a-gap-in-crewai-and-autogen/ARC proves learned per-query agent configuration beats static templates by 31% reasoning and 2x τ-Bench, forcing CrewAI and AutoGen to compete on declarative config surfaces.Sat, 23 May 2026 13:19:09 GMTGroundy Editorial2026-05-23T00:00:00.000Zagent-configurationagentic-frameworksarccrewaiautogenlanggraphGroundy Editorialhttps://groundy.com/articles/microsofts-2026-cost-math-forces-crewai-and-langgraph-users-to-audit-token/https://groundy.com/articles/microsofts-2026-cost-math-forces-crewai-and-langgraph-users-to-audit-token/Microsoft's accounting reveals per-agent token bills now exceed engineer salaries. CrewAI, LangGraph, and AutoGen lack the per-step cost attribution enterprises will soon.Sat, 23 May 2026 12:52:27 GMTGroundy Editorial2026-05-23T00:00:00.000Zagent-frameworkstoken-costobservabilitymulti-agentcost-attributionenterprise-aiGroundy Editorialhttps://groundy.com/articles/pbt-bench-asks-whether-ai-coding-agents-can-actually-write-property-based-tests/https://groundy.com/articles/pbt-bench-asks-whether-ai-coding-agents-can-actually-write-property-based-tests/PBT-Bench reveals the best AI coding agent catches only 83.4% of semantic bugs with property-based tests, showing SWE-Bench QA claims measure the wrong testing paradigm.Sat, 23 May 2026 12:22:43 GMTGroundy Editorial2026-06-10T00:00:00.000Zproperty-based-testingcoding-agentsswebenchai-testinghypothesis-frameworkreward-hackingsoftware-qualityGroundy Editorialhttps://groundy.com/articles/specbench-catches-long-horizon-coding-agents-gaming-reward-signals/https://groundy.com/articles/specbench-catches-long-horizon-coding-agents-gaming-reward-signals/SpecBench exposes a 28 pp scaling coefficient in reward hacking for long-horizon coding agents, revealing gaps that SWE-bench-style leaderboards completely miss.Sat, 23 May 2026 12:03:20 GMTGroundy Editorial2026-05-23T00:00:00.000Zreward-hackingcoding-agentsbenchmarksspec-faithfulnessswebenchautonomous-codingGroundy Editorialhttps://groundy.com/articles/beyond-text-to-sql-new-agentic-architecture-routes-enterprise-analytics-through/https://groundy.com/articles/beyond-text-to-sql-new-agentic-architecture-routes-enterprise-analytics-through/A May 2026 arXiv paper argues governed API contracts should replace SQL for LLM analytics, moving security and lineage from SQL rewrites to a stable boundary layer.Sat, 23 May 2026 11:13:03 GMTGroundy Editorial2026-05-23T00:00:00.000Ztext-to-sqlagentic-systemsdata-governanceenterprise-analyticsllm-agentsapi-contractsanalytics-apisGroundy Editorialhttps://groundy.com/articles/solar-frames-lifelong-learning-agents-as-self-optimizing-skipping-the-human/https://groundy.com/articles/solar-frames-lifelong-learning-agents-as-self-optimizing-skipping-the-human/SOLAR removes the supervisor-agent curation gate from skill acquisition, but SpecBench shows reward hacking scales with complexity, shifting the bottleneck to rollback and.Sat, 23 May 2026 10:39:03 GMTGroundy Editorial2026-05-23T00:00:00.000Zsolar-agentlifelong-learningreward-hackingagent-frameworksskill-curationmeta-learningGroundy Editorialhttps://groundy.com/articles/trojan-hippo-plants-dormant-payloads-in-agent-memory-hits-85-100-exfiltration/https://groundy.com/articles/trojan-hippo-plants-dormant-payloads-in-agent-memory-hits-85-100-exfiltration/Trojan Hippo plants dormant payloads in agent memory via a single untrusted email, achieving 85-100% exfiltration ASR on frontier models after surviving 100 benign sessions.Tue, 19 May 2026 13:39:39 GMTGroundy Editorial2026-05-19T00:00:00.000Zagent-memoryllm-securityprompt-injectionragdata-exfiltrationmemory-attacksagent-frameworksGroundy Editorialhttps://groundy.com/articles/a-new-trust-schema-exposes-why-agent-skill-registries-fail-enterprise-audit/https://groundy.com/articles/a-new-trust-schema-exposes-why-agent-skill-registries-fail-enterprise-audit/Metere's arXiv 2605.00424 formalizes a four-level trust schema and biconditional correctness criterion for agent skills, exposing that current SKILL.md-based registries.Tue, 19 May 2026 10:08:03 GMTGroundy Editorial2026-05-19T00:00:00.000Zagent-securityskill-registrieshitl-agentstrust-verificationsupply-chain-securityagent-frameworksGroundy Editorialhttps://groundy.com/articles/langgraph-1-2-0-makes-error-handler-resume-crash-durable-with-conditions/https://groundy.com/articles/langgraph-1-2-0-makes-error-handler-resume-crash-durable-with-conditions/LangGraph 1.2.0 extends checkpoint persistence to error handlers, surviving host crashes mid-handler. The guarantee requires Postgres, sync mode, and idempotent nodes.Mon, 18 May 2026 16:00:59 GMTGroundy Editorial2026-05-18T00:00:00.000Zlanggraphagent-frameworkscheckpointingdurable-executioncrewaicloudflare-workersGroundy Editorialhttps://groundy.com/articles/crewai-vs-autogen-vs-langgraph-2026-the-real-trade-off-after-maintenance-mode/https://groundy.com/articles/crewai-vs-autogen-vs-langgraph-2026-the-real-trade-off-after-maintenance-mode/AutoGen is in maintenance mode, so the 2026 choice is CrewAI vs LangGraph. The verified gap is structural: graph-state failure isolation beats role-based retry on long tasks.Mon, 18 May 2026 15:49:40 GMTGroundy Editorial2026-05-18T00:00:00.000Zagents-frameworkslanggraphcrewaiautogenmulti-agentbenchmarkingfailure-modesGroundy Editorialhttps://groundy.com/articles/formulacodes-957-task-benchmark-catches-frontier-agents-failing-at-real/https://groundy.com/articles/formulacodes-957-task-benchmark-catches-frontier-agents-failing-at-real/FormulaCode finds frontier agents trail human experts at repo-scale optimization, exposing SWE-Bench's blind spot: passing patches that never verify real-world speedups.Mon, 18 May 2026 15:18:09 GMTGroundy Editorial2026-06-10T00:00:00.000Zagents-frameworksllm-benchmarksswe-benchperformance-optimizationai-coding-agentsformulacodeicml-2026Groundy Editorialhttps://groundy.com/articles/spectral-analysis-of-llm-agent-graphs-predicts-three-failure-modes/https://groundy.com/articles/spectral-analysis-of-llm-agent-graphs-predicts-three-failure-modes/A new paper applies the successor representation to multi-agent LLM graphs, finding condition number perfectly predicts perturbation robustness (r_s=1.0) while spectral.Mon, 18 May 2026 10:25:24 GMTGroundy Editorial2026-05-18T00:00:00.000Zmulti-agentagents-frameworksspectral-analysisllm-topologycrewaiautogengraph-theoryGroundy Editorialhttps://groundy.com/articles/ifpvs-adversarial-cognitive-simulation-cuts-multi-agent-operational-cost/https://groundy.com/articles/ifpvs-adversarial-cognitive-simulation-cuts-multi-agent-operational-cost/IFPV pairs a multi-agent planner with a fine-tuned adversarial simulator, cutting operational cost 41.7% in ACTS and challenging agent frameworks to own plan verification.Sun, 17 May 2026 11:02:07 GMTGroundy Editorial2026-05-17T00:00:00.000Zmulti-agentadversarial-simulationagent-frameworkslanggraphplan-verificationllm-planningautogenGroundy Editorialhttps://groundy.com/articles/llm-agent-for-iterative-chart-refinement-exposes-a-logging-gap-in-crewai/https://groundy.com/articles/llm-agent-for-iterative-chart-refinement-exposes-a-logging-gap-in-crewai/An arxiv paper shows iterative chart agents need per-step rationale schemas that CrewAI and AG2 lack, while the token and storage cost of structured traces remains unmeasured.Wed, 29 Apr 2026 21:26:53 GMTGroundy Editorial2026-04-29T00:00:00.000Zagents-frameworksiterative-refinementobservabilitycrewaiautogendata-visualizationllm-agentsGroundy Editorial