📚 Read — 4 items
📚 BI-Agent and BI-Bench: Towards Automating End-to-End Business Intelligence — BI-Agent + BI-Bench propose an end-to-end BI automation agent and benchmark — enterprise decision workflows as an eval target, not just a demo.
📚 MintAct: A Unified Visual Agent for Digital Environments — MintAct unifies visual agents across digital environments — one model for GUI, web, and desktop control instead of per-environment harnesses.
📚 Self-Compact Pi Agent: ZERO HYPE Agentic Coding Devlog — IndyDevDan builds a self-compacting agent on a Pi — zero-hype devlog on keeping agent context lean on constrained hardware.
📚 How V7 gives AI agents institutional memory — V7 gives agents institutional memory by persisting organizational context — a case study in grounding agents in enterprise data.
Agent research is converging on end-to-end enterprise workflows: BI automation and unified visual control are the new eval targets, not single-task demos.
📚 BI-Agent and BI-Bench: Towards Automating End-to-End Business Intelligence — BI-Agent + BI-Bench propose an end-to-end BI automation agent and benchmark — enterprise decision workflows as an eval target, not just a demo.
📚 MintAct: A Unified Visual Agent for Digital Environments — MintAct unifies visual agents across digital environments — one model for GUI, web, and desktop control instead of per-environment harnesses.
📚 Self-Compact Pi Agent: ZERO HYPE Agentic Coding Devlog — IndyDevDan builds a self-compacting agent on a Pi — zero-hype devlog on keeping agent context lean on constrained hardware.
📚 How V7 gives AI agents institutional memory — V7 gives agents institutional memory by persisting organizational context — a case study in grounding agents in enterprise data.
Agent research is converging on end-to-end enterprise workflows: BI automation and unified visual control are the new eval targets, not single-task demos.
huggingface.co
Paper page - BI-Agent and BI-Bench: Towards Automating End-to-End Business Intelligence
Join the discussion on this paper page
💬 Community — 2 items
💬 Amazon blocks Meta's Muse AI agent from shopping on amazon.com — Amazon blocks Meta's Muse shopping agent from amazon.com — 143-comment HN thread on whether platforms should fight agents or build bot APIs. Top comment argues for MCP-style interfaces with explicit bot terms.
💬 Show HN: Craigslist for agent skills, curated by a human — skillbay.sh — human-curated marketplace for paid agent skills. Creator wants to buy expertise for tasks he's not an expert in; 18 comments debating whether skill marketplaces are the next app store or a dead end.
Platforms are starting to draw lines against agents (Amazon vs. Muse), while builders are already trying to monetize agent capabilities (skillbay). The rules of agent-commerce are being written right now.
💬 Amazon blocks Meta's Muse AI agent from shopping on amazon.com — Amazon blocks Meta's Muse shopping agent from amazon.com — 143-comment HN thread on whether platforms should fight agents or build bot APIs. Top comment argues for MCP-style interfaces with explicit bot terms.
💬 Show HN: Craigslist for agent skills, curated by a human — skillbay.sh — human-curated marketplace for paid agent skills. Creator wants to buy expertise for tasks he's not an expert in; 18 comments debating whether skill marketplaces are the next app store or a dead end.
Platforms are starting to draw lines against agents (Amazon vs. Muse), while builders are already trying to monetize agent capabilities (skillbay). The rules of agent-commerce are being written right now.
⚙️ Ship — 3 items
📦 Claude platform release notes — September 18, 2026 — Messages API adds on-demand conversation compaction (beta, `compact-2026-09-04`): send a `compaction` parameter, get a signed summary block to replace earlier turns, run it in the background, and keep recent turns verbatim. Compliance API now returns Claude in Chrome session transcripts for Enterprise.
📦 Hermes Agent 0.21.4 — Patch tag rolling up ~1,800 PRs since v0.21.3 for Docker/Cloud consumers; full notes deferred to v0.22.0. Unlisted but notable: host-wide gateway singleton lock, Desktop now attaches to the running host backend instead of spawning a second, and `--format stream-json` JSONL output for the CLI.
📦 Pi 0.87.0 — Adds canonical session context (edit model context without rewriting history), full-transcript context extensions, and per-model image input limits. Breaking: `shouldStopAfterTurn` is gone — migrate to `finishTurn` returning `{ action: "end" }`.
Compaction-on-demand moves context management into the API layer; Pi's `finishTurn` migration is the breaking change to schedule this week.
📦 Claude platform release notes — September 18, 2026 — Messages API adds on-demand conversation compaction (beta, `compact-2026-09-04`): send a `compaction` parameter, get a signed summary block to replace earlier turns, run it in the background, and keep recent turns verbatim. Compliance API now returns Claude in Chrome session transcripts for Enterprise.
📦 Hermes Agent 0.21.4 — Patch tag rolling up ~1,800 PRs since v0.21.3 for Docker/Cloud consumers; full notes deferred to v0.22.0. Unlisted but notable: host-wide gateway singleton lock, Desktop now attaches to the running host backend instead of spawning a second, and `--format stream-json` JSONL output for the CLI.
📦 Pi 0.87.0 — Adds canonical session context (edit model context without rewriting history), full-transcript context extensions, and per-model image input limits. Breaking: `shouldStopAfterTurn` is gone — migrate to `finishTurn` returning `{ action: "end" }`.
Compaction-on-demand moves context management into the API layer; Pi's `finishTurn` migration is the breaking change to schedule this week.
Claude Platform Docs
Claude Platform release notes
Updates to the Claude Platform, including the Claude API, client SDKs, and the Claude Console.
📚 Read — 3 items
📚 MCP was always a bad idea? — Simon Willison pushes back on 'MCP was always a bad idea': MCP's value is for contexts without a full terminal, not for terminal-based agents. His comment clarifies the protocol's actual niche.
📚 One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents — Paper proposes category-aware iterative expert training for SWE agents — trains specialized experts per task category, then merges them. A concrete recipe for improving coding agent performance.
📚 ProgramDistill: From Interactive Web Apps to Verifiable Reference-Guided SWE Tasks — ProgramDistill converts interactive web apps into verifiable, reference-guided SWE tasks — a new pipeline for generating grounded coding-agent benchmarks.
MCP's role is getting clearer — not for terminal agents, but for constrained contexts. Meanwhile, SWE agent training and eval are moving toward category-specific and reference-grounded approaches.
📚 MCP was always a bad idea? — Simon Willison pushes back on 'MCP was always a bad idea': MCP's value is for contexts without a full terminal, not for terminal-based agents. His comment clarifies the protocol's actual niche.
📚 One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents — Paper proposes category-aware iterative expert training for SWE agents — trains specialized experts per task category, then merges them. A concrete recipe for improving coding agent performance.
📚 ProgramDistill: From Interactive Web Apps to Verifiable Reference-Guided SWE Tasks — ProgramDistill converts interactive web apps into verifiable, reference-guided SWE tasks — a new pipeline for generating grounded coding-agent benchmarks.
MCP's role is getting clearer — not for terminal agents, but for constrained contexts. Meanwhile, SWE agent training and eval are moving toward category-specific and reference-grounded approaches.
Simon Willison’s Weblog
Comment: MCP was always a bad idea?
⚙️ Ship — 3 items
📦 Devin CLI v3000.11.1 — Devin Cloud in your terminal — Run Devin Cloud sessions from the CLI (`devin --cloud`), hand off/pick up PR branches between cloud and local (`/handoff`, `/pickup`), and SSH into cloud VMs (`devin ssh`). Also adds OpenTelemetry export and ACP model/thinking controls.
📦 OpenHands 1.21.0 — Request Docker execution workspaces from Docker servers — moves execution off the local daemon. Also fixes stale conversation history merges and Forgejo PR/issue listing.
📦 Claude platform release notes — September 18, 2026 — Compliance API local session endpoints now return transcripts of Claude in Chrome sessions (beta, Enterprise) — closes a gap for orgs auditing agent activity in the browser.
Harness CLIs are converging on cloud session portability: Devin adds cloud VM access from the terminal, OpenHands moves execution to Docker servers, and Claude extends compliance to Chrome sessions. Operators get more deployment options but more surface to track.
📦 Devin CLI v3000.11.1 — Devin Cloud in your terminal — Run Devin Cloud sessions from the CLI (`devin --cloud`), hand off/pick up PR branches between cloud and local (`/handoff`, `/pickup`), and SSH into cloud VMs (`devin ssh`). Also adds OpenTelemetry export and ACP model/thinking controls.
📦 OpenHands 1.21.0 — Request Docker execution workspaces from Docker servers — moves execution off the local daemon. Also fixes stale conversation history merges and Forgejo PR/issue listing.
📦 Claude platform release notes — September 18, 2026 — Compliance API local session endpoints now return transcripts of Claude in Chrome sessions (beta, Enterprise) — closes a gap for orgs auditing agent activity in the browser.
Harness CLIs are converging on cloud session portability: Devin adds cloud VM access from the terminal, OpenHands moves execution to Docker servers, and Claude extends compliance to Chrome sessions. Operators get more deployment options but more surface to track.
Devin Docs
Changelog (Stable) - Devin Docs
Release notes for the Devin CLI stable channel: new features, improvements, and fixes in each stable release of the command-line interface.
💬 Community — 2 items
💬 Harness-Zero: Harness Distillation via Agent-as-Harness — Proposes distilling agent harnesses into the model itself — treating the harness as a trainable component rather than external scaffolding. Worth a look for anyone building custom harnesses.
💬 Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents — Introduces a System-One-controlled memory layer for agents — fast, reflexive memory decisions instead of deliberative retrieval. Relevant for latency-sensitive agent loops.
The harness is becoming a trainable artifact, not a fixed shell. Operators should watch for distillation and memory-control techniques that reduce moving parts.
💬 Harness-Zero: Harness Distillation via Agent-as-Harness — Proposes distilling agent harnesses into the model itself — treating the harness as a trainable component rather than external scaffolding. Worth a look for anyone building custom harnesses.
💬 Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents — Introduces a System-One-controlled memory layer for agents — fast, reflexive memory decisions instead of deliberative retrieval. Relevant for latency-sensitive agent loops.
The harness is becoming a trainable artifact, not a fixed shell. Operators should watch for distillation and memory-control techniques that reduce moving parts.
huggingface.co
Paper page - Harness-Zero: Harness Distillation via Agent-as-Harness
Join the discussion on this paper page
📚 Read — 4 items
📚 RRSI: Regularized Recursive Self-Improvement of Agent Harnesses — RRSI formalizes regularized recursive self-improvement for agent harnesses — adds a regularization term to keep self-modifying loops from drifting. Directly relevant to anyone running agents that rewrite their own prompts or tools.
📚 onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction — Open-sourced onPanda — token-level correction for on-policy alignment data, aimed at cheaper RLHF/RLVR annotation for LLMs and agents. Useful if you're building agent-specific alignment pipelines.
📚 Memory That Looks Forward: A Zero-Inference Prospective Term for Personal Memory Retrieval — Proposes a zero-inference prospective term for personal memory retrieval — memory that anticipates future queries without extra inference cost. Relevant to agent memory design.
📚 Recognition, Simulation, and Refusal: A Contamination-Aware Study of Classic Psychological Effects in LLM Agents — Contamination-aware study of classic psychological effects in LLM agents — checks whether agents actually exhibit effects or just parrot contaminated benchmarks. Useful for anyone evaluating agent behavior.
Today's Read lane clusters around stability under learning: regularized self-improvement, token-level alignment correction, prospective memory, and contamination-aware behavior evals all target the same operator problem — keeping agents predictable as they adapt.
📚 RRSI: Regularized Recursive Self-Improvement of Agent Harnesses — RRSI formalizes regularized recursive self-improvement for agent harnesses — adds a regularization term to keep self-modifying loops from drifting. Directly relevant to anyone running agents that rewrite their own prompts or tools.
📚 onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction — Open-sourced onPanda — token-level correction for on-policy alignment data, aimed at cheaper RLHF/RLVR annotation for LLMs and agents. Useful if you're building agent-specific alignment pipelines.
📚 Memory That Looks Forward: A Zero-Inference Prospective Term for Personal Memory Retrieval — Proposes a zero-inference prospective term for personal memory retrieval — memory that anticipates future queries without extra inference cost. Relevant to agent memory design.
📚 Recognition, Simulation, and Refusal: A Contamination-Aware Study of Classic Psychological Effects in LLM Agents — Contamination-aware study of classic psychological effects in LLM agents — checks whether agents actually exhibit effects or just parrot contaminated benchmarks. Useful for anyone evaluating agent behavior.
Today's Read lane clusters around stability under learning: regularized self-improvement, token-level alignment correction, prospective memory, and contamination-aware behavior evals all target the same operator problem — keeping agents predictable as they adapt.
huggingface.co
Paper page - RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
Join the discussion on this paper page
💬 Community — 4 items
💬 JetBrains Air: A System of Products for Agentic Software Development — JetBrains Air — a system of products for agentic software development. 66 points, 104 comments on HN; JetBrains is leveraging its IDE moat to enter agentic dev as a product line.
💬 ACLArena: Agent Continue Learning in Multi-stage Post-training — ACLArena — a benchmark for agent continual learning across multi-stage post-training, targeting how agents acquire new capabilities without catastrophic forgetting.
💬 Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL — Supervising observations, not just actions, measurably changes how agents explore under RL — a counterintuitive lever for anyone tuning agent reinforcement learning.
💬 Show HN: JevBench, a reproducible benchmark for typed decision models — Show HN: JevBench — a reproducible benchmark for typed decision models, built to separate serious open-source implementations from lookalikes. 54 points.
The community is converging on how agents learn: continual learning and observation-level supervision are the active debates, while JetBrains' Air launch shows IDE vendors treating agentic dev as a full product system.
💬 JetBrains Air: A System of Products for Agentic Software Development — JetBrains Air — a system of products for agentic software development. 66 points, 104 comments on HN; JetBrains is leveraging its IDE moat to enter agentic dev as a product line.
💬 ACLArena: Agent Continue Learning in Multi-stage Post-training — ACLArena — a benchmark for agent continual learning across multi-stage post-training, targeting how agents acquire new capabilities without catastrophic forgetting.
💬 Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL — Supervising observations, not just actions, measurably changes how agents explore under RL — a counterintuitive lever for anyone tuning agent reinforcement learning.
💬 Show HN: JevBench, a reproducible benchmark for typed decision models — Show HN: JevBench — a reproducible benchmark for typed decision models, built to separate serious open-source implementations from lookalikes. 54 points.
The community is converging on how agents learn: continual learning and observation-level supervision are the active debates, while JetBrains' Air launch shows IDE vendors treating agentic dev as a full product system.
⚙️ Ship — 3 items
📦 Claude Opus 5.5 — Claude Opus 5.5 launches with 1M context, 128k output, always-on adaptive thinking, and $4/$20 pricing — a direct upgrade for long-running agentic coding.
📦 Codex 0.156.0 — Codex 0.156 adds a fullscreen TUI with transcript search, voice by default, a /usage analytics dashboard, and worktree sessions on by default.
📦 Antigravity Google — Windows Subsystem for Linux, Office attachments, and live subagent cards — Antigravity adds Windows Subsystem for Linux support, Office attachments, and live subagent cards.
Today's updates converge on sustained agent sessions: Opus 5.5's 1M context and Codex's fullscreen TUI both target operators running agents for hours, not minutes.
📦 Claude Opus 5.5 — Claude Opus 5.5 launches with 1M context, 128k output, always-on adaptive thinking, and $4/$20 pricing — a direct upgrade for long-running agentic coding.
📦 Codex 0.156.0 — Codex 0.156 adds a fullscreen TUI with transcript search, voice by default, a /usage analytics dashboard, and worktree sessions on by default.
📦 Antigravity Google — Windows Subsystem for Linux, Office attachments, and live subagent cards — Antigravity adds Windows Subsystem for Linux support, Office attachments, and live subagent cards.
Today's updates converge on sustained agent sessions: Opus 5.5's 1M context and Codex's fullscreen TUI both target operators running agents for hours, not minutes.
Claude Platform Docs
Claude Platform release notes
Updates to the Claude Platform, including the Claude API, client SDKs, and the Claude Console.
🚨 Watch — 1 item
🚨 DeepSeek Elastic Compute (DSec) — A paper proposing sandbox infrastructure to scale agentic training.
🚨 DeepSeek Elastic Compute (DSec) — A paper proposing sandbox infrastructure to scale agentic training.
arXiv.org
DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for...
Large-scale agentic training and evaluation with large language models (LLMs) rely on isolated, stateful execution environments in which models inspect repositories, invoke tools, execute...
📚 Read — 1 item
📚 Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war — Simon Willison on the day's model drops — Claude Opus 5.5, GPT-6 Sol/Luna, Grok 4.7, MiMo v2.6 — and the price war they're triggering. Worth reading for how the cost curve shifts for agent workloads.
Model pricing is moving faster than capability — agent operators should re-benchmark cost-per-task before locking in any provider.
📚 Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war — Simon Willison on the day's model drops — Claude Opus 5.5, GPT-6 Sol/Luna, Grok 4.7, MiMo v2.6 — and the price war they're triggering. Worth reading for how the cost curve shifts for agent workloads.
Model pricing is moving faster than capability — agent operators should re-benchmark cost-per-task before locking in any provider.
Simon Willison’s Weblog
Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war
Yesterday was Grok 4.7 (pelicans) and MiMo v2.6 Flash/Pro (more pelicans). Today Anthropic released Claude Opus 5.5, and around an hour later OpenAI released GPT-6 Sol and GPT-6 Luna. It’s …
⚙️ Ship — 3 items
📦 Devin CLI v3000.11.1 — Devin CLI v3000.11.1 adds cloud session control from the terminal — `devin --cloud`, `/handoff`/`/pickup` to pull a cloud PR branch local, and `devin ssh` into the VM. Also OpenTelemetry export and ACP model selection.
📦 Anthropic SDK 0.128.0 — Anthropic TS SDK 0.128.0 adds claude-opus-5-5 support, inline tool definitions, and MCP tool-list pinning (beta); `addTools()` now takes effect immediately.
📦 OpenHands 1.22.0 — OpenHands 1.22.0 lets cloud backends test remote MCP servers via the app server and opens Git Sync to org admins; also fixes preserving sibling MCP servers when saving to cloud.
Cloud and local agent workflows are converging — Devin CLI now bridges cloud sessions to local repos, while Anthropic SDK adds claude-opus-5-5 and inline tool definitions.
📦 Devin CLI v3000.11.1 — Devin CLI v3000.11.1 adds cloud session control from the terminal — `devin --cloud`, `/handoff`/`/pickup` to pull a cloud PR branch local, and `devin ssh` into the VM. Also OpenTelemetry export and ACP model selection.
📦 Anthropic SDK 0.128.0 — Anthropic TS SDK 0.128.0 adds claude-opus-5-5 support, inline tool definitions, and MCP tool-list pinning (beta); `addTools()` now takes effect immediately.
📦 OpenHands 1.22.0 — OpenHands 1.22.0 lets cloud backends test remote MCP servers via the app server and opens Git Sync to org admins; also fixes preserving sibling MCP servers when saving to cloud.
Cloud and local agent workflows are converging — Devin CLI now bridges cloud sessions to local repos, while Anthropic SDK adds claude-opus-5-5 and inline tool definitions.
Devin Docs
Changelog (Stable) - Devin Docs
Release notes for the Devin CLI stable channel: new features, improvements, and fixes in each stable release of the command-line interface.
🚨 Watch — 1 item
🚨 Radical Numerics — Analysis on using biological chain-of-thought and multimodal perception to counter AI-driven bio-security threats.
🚨 Radical Numerics — Analysis on using biological chain-of-thought and multimodal perception to counter AI-driven bio-security threats.
Latent
🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
Radical Numerics is using biological chain-of-thought and multimodal perception to keep up with the bio-defense arms race, design new genomes and gain insights into biology itself.
💬 Community — 4 items
💬 The new CC — 50 points on HN; users want this for consolidating fragmented school schedules and family logistics.
💬 Emergent Collusion in Long-Horizon LLM Agent Interaction — A paper studying if agents jointly violate instructions during long-term interactions.
💬 VideoGen-Agent — A framework for reinforcing agents specifically for video generation tasks.
💬 Agensh — A paper proposing a self-organized multi-agent harness to scale organizational intelligence to 1,024 agents without central orchestration.
💬 The new CC — 50 points on HN; users want this for consolidating fragmented school schedules and family logistics.
💬 Emergent Collusion in Long-Horizon LLM Agent Interaction — A paper studying if agents jointly violate instructions during long-term interactions.
💬 VideoGen-Agent — A framework for reinforcing agents specifically for video generation tasks.
💬 Agensh — A paper proposing a self-organized multi-agent harness to scale organizational intelligence to 1,024 agents without central orchestration.
📚 Read — 5 items
📚 Ringg’s AI agents resolve up to 65% of customer calls with OpenAI — Ringg reports its OpenAI-powered agents resolve up to 65% of customer calls autonomously — a concrete production benchmark for customer-service agent deployments.
📚 The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks — Introduces a benchmark for 'taste' in long-horizon agent tasks — measuring whether agents produce outputs that match human quality preferences, not just complete the task.
📚 When LLM Agents Fail to Read the Room: ReAdapt for Relational Social Reasoning — Proposes ReAdapt, a method for improving LLM agents' relational social reasoning — targeting failures where agents miss conversational context and social cues.
📚 Can Agents Design Better Chips with a Higher Level Abstraction? — Asks whether agents can design better chips when given higher-level abstractions — early evidence on agent capability in hardware design workflows.
📚 SF October 14th: A Birds of a Feather Session on Agentic Engineering — Simon Willison and Jesse Vincent host a Birds of a Feather on agentic engineering in SF Oct 14 — an evening for practitioners to compare notes on building and operating agents.
Agent quality is becoming measurable beyond task completion — taste, social reasoning, and production resolution rates are the new scoreboard.
📚 Ringg’s AI agents resolve up to 65% of customer calls with OpenAI — Ringg reports its OpenAI-powered agents resolve up to 65% of customer calls autonomously — a concrete production benchmark for customer-service agent deployments.
📚 The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks — Introduces a benchmark for 'taste' in long-horizon agent tasks — measuring whether agents produce outputs that match human quality preferences, not just complete the task.
📚 When LLM Agents Fail to Read the Room: ReAdapt for Relational Social Reasoning — Proposes ReAdapt, a method for improving LLM agents' relational social reasoning — targeting failures where agents miss conversational context and social cues.
📚 Can Agents Design Better Chips with a Higher Level Abstraction? — Asks whether agents can design better chips when given higher-level abstractions — early evidence on agent capability in hardware design workflows.
📚 SF October 14th: A Birds of a Feather Session on Agentic Engineering — Simon Willison and Jesse Vincent host a Birds of a Feather on agentic engineering in SF Oct 14 — an evening for practitioners to compare notes on building and operating agents.
Agent quality is becoming measurable beyond task completion — taste, social reasoning, and production resolution rates are the new scoreboard.
OpenAI
Ringg’s AI agents resolve up to 65% of customer calls with OpenAI
Using GPT-5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT-4.1.
⚙️ Ship — 3 items
📦 NanoClaw 2.4.0 — NanoClaw 2.4.0 — credential gateways via skills (Iron Proxy new), install-wide/per-group model and speed controls, Mattermost channel, reworked OpenCode provider. Breaking: custom instruction sources must move to the new module — CLAUDE.md @-imports outside the project dir were silently dropped, so most instructions never reached the model. Defaults shift to Opus 5.5 and gpt-6-astra.
📦 Devin 1 more releases — Devin CLI stable v3000.11 — run Devin Cloud sessions from the terminal (`devin --cloud`), handoff/pickup cloud PR branches locally, `devin ssh` into the cloud VM, ACP model/thinking/speed controls, and OTel export. v3000.11.3 fixes tenant-aware session links on dedicated tenants.
📦 Devin September 23, 2026 — Devin Sept 23 — parent sessions now show the child session tree; permission waits resume immediately on response; autoreview triggers become composable rules (account/SCM org/repo/prefix/member + filters). Capability picker names models: Ultra = Fable 5.1 + GPT-6 Astra.
Two harnesses shipped operator-facing changes today: NanoClaw's breaking instruction-module migration and Devin's cloud-session CLI. Check your custom instruction sources before updating NanoClaw.
📦 NanoClaw 2.4.0 — NanoClaw 2.4.0 — credential gateways via skills (Iron Proxy new), install-wide/per-group model and speed controls, Mattermost channel, reworked OpenCode provider. Breaking: custom instruction sources must move to the new module — CLAUDE.md @-imports outside the project dir were silently dropped, so most instructions never reached the model. Defaults shift to Opus 5.5 and gpt-6-astra.
📦 Devin 1 more releases — Devin CLI stable v3000.11 — run Devin Cloud sessions from the terminal (`devin --cloud`), handoff/pickup cloud PR branches locally, `devin ssh` into the cloud VM, ACP model/thinking/speed controls, and OTel export. v3000.11.3 fixes tenant-aware session links on dedicated tenants.
📦 Devin September 23, 2026 — Devin Sept 23 — parent sessions now show the child session tree; permission waits resume immediately on response; autoreview triggers become composable rules (account/SCM org/repo/prefix/member + filters). Capability picker names models: Ultra = Fable 5.1 + GPT-6 Astra.
Two harnesses shipped operator-facing changes today: NanoClaw's breaking instruction-module migration and Devin's cloud-session CLI. Check your custom instruction sources before updating NanoClaw.
GitHub
Release v2.4.0 · nanocoai/nanoclaw
NanoClaw 2.4.0 adds credential gateways installed through skills (OneCLI stays the default, Iron Proxy is new), community-portal setup for Echo's hardened image and a managed Slack app, install...
📚 Read — 3 items
📚 How we made claude.ai 3x faster in two weeks — Anthropic used Claude to measure and optimize claude.ai, cutting latency 3x in two weeks — a case study in self-improving agent workflows, with HN discussion on reward hacking in kernel optimization.
📚 PACT: From Credit Assignment to Critic Alignment — Formalizes token-level credit assignment via three conditions — directly relevant to RL-trained agents where sparse rewards make critic alignment the bottleneck.
📚 Advancing Private AI Compute with secure, server-side memory — DeepMind details secure, server-side memory for private AI compute — relevant if you're running agents on sensitive data and need enclave-backed memory.
Self-optimization and private compute are converging: agents that can measure and improve their own runtime, and enclave-backed memory for sensitive deployments.
📚 How we made claude.ai 3x faster in two weeks — Anthropic used Claude to measure and optimize claude.ai, cutting latency 3x in two weeks — a case study in self-improving agent workflows, with HN discussion on reward hacking in kernel optimization.
📚 PACT: From Credit Assignment to Critic Alignment — Formalizes token-level credit assignment via three conditions — directly relevant to RL-trained agents where sparse rewards make critic alignment the bottleneck.
📚 Advancing Private AI Compute with secure, server-side memory — DeepMind details secure, server-side memory for private AI compute — relevant if you're running agents on sensitive data and need enclave-backed memory.
Self-optimization and private compute are converging: agents that can measure and improve their own runtime, and enclave-backed memory for sensitive deployments.
💬 Community — 3 items
💬 Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents — Proposes read-time, task-adaptive memory curation instead of the write-time distillation most agent frameworks default to — a fix for agents that drown in stale summaries.
💬 Recursive self-improvement of AI research agents — Paper on agents that recursively improve their own research workflows — the loop where an agent's output becomes its next input. Relevant to anyone running autonomous research or coding loops.
💬 RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents — CoRL 2026 paper with a simulation benchmark showing embodied agents claim instruction following but fail under test — a robustness gap that mirrors what operators see in coding agents.
Memory and self-improvement are converging as the next bottleneck for long-running agents — both papers target the same operator pain: agents that forget or can't improve their own loops.
💬 Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents — Proposes read-time, task-adaptive memory curation instead of the write-time distillation most agent frameworks default to — a fix for agents that drown in stale summaries.
💬 Recursive self-improvement of AI research agents — Paper on agents that recursively improve their own research workflows — the loop where an agent's output becomes its next input. Relevant to anyone running autonomous research or coding loops.
💬 RoboFollow: Unveiling the Instruction Following Mirage in Embodied Agents — CoRL 2026 paper with a simulation benchmark showing embodied agents claim instruction following but fail under test — a robustness gap that mirrors what operators see in coding agents.
Memory and self-improvement are converging as the next bottleneck for long-running agents — both papers target the same operator pain: agents that forget or can't improve their own loops.
huggingface.co
Paper page - Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents
Join the discussion on this paper page
⚙️ Ship — 3 items
📦 Gemini CLI 0.61.0 — Gemini CLI 0.61.0 hardens sandbox filesystem boundaries and blocks indirect prompt injection via build file modifications and untrusted flags — update before running it on repos you don't fully trust.
📦 Amp Shared Runners — Amp now lets you share a runner with your workspace via `--share` — point the team at a GPU box, Mac builder, or network-specific dev box and spawn agents on it from ampcode.com.
📦 Factory 0.226.1 — Factory 0.226.1 — Droid now finishes replies while background tasks keep running instead of waiting, and Droid Shield can fix flagged files and rerun blocked commands when you ask.
Security hardening and shared infrastructure are today's themes: update Gemini CLI if you run it on untrusted repos, and Amp's `--share` turns one beefy machine into a team agent pool.
📦 Gemini CLI 0.61.0 — Gemini CLI 0.61.0 hardens sandbox filesystem boundaries and blocks indirect prompt injection via build file modifications and untrusted flags — update before running it on repos you don't fully trust.
📦 Amp Shared Runners — Amp now lets you share a runner with your workspace via `--share` — point the team at a GPU box, Mac builder, or network-specific dev box and spawn agents on it from ampcode.com.
📦 Factory 0.226.1 — Factory 0.226.1 — Droid now finishes replies while background tasks keep running instead of waiting, and Droid Shield can fix flagged files and rerun blocked commands when you ask.
Security hardening and shared infrastructure are today's themes: update Gemini CLI if you run it on untrusted repos, and Amp's `--share` turns one beefy machine into a team agent pool.
GitHub
Release Release v0.61.0 · google-gemini/gemini-cli
What's Changed
Changelog for v0.60.0-preview.0 by @gemini-cli-robot in #29251
chore(release): bump version to 0.61.0-nightly.20260908.gc647533d6 by @gemini-cli-robot in #29254
Changelog for v0...
Changelog for v0.60.0-preview.0 by @gemini-cli-robot in #29251
chore(release): bump version to 0.61.0-nightly.20260908.gc647533d6 by @gemini-cli-robot in #29254
Changelog for v0...
🚨 Watch — 2 items
🚨 Sam Altman’s remarks at the United Nations Security Council — OpenAI's take on global security risks and governance.
🚨 AI Safety Is Mostly a Sex Cult in Berkeley — A critique of the Berkeley AI safety scene (19 points on HN).
🚨 Sam Altman’s remarks at the United Nations Security Council — OpenAI's take on global security risks and governance.
🚨 AI Safety Is Mostly a Sex Cult in Berkeley — A critique of the Berkeley AI safety scene (19 points on HN).
OpenAI
Sam Altman’s remarks at the United Nations Security Council
OpenAI CEO Sam Altman discusses AI safety, human control, and international cooperation in remarks to the United Nations Security Council.
💬 Community — 3 items
💬 Early rogue AI agent activity and attempts to hack found on urlquery.net — urlquery.net logs show early rogue AI agent probes and hack attempts — HN thread (203 points, 191 comments) debates whether existing cybercrime law already covers autonomous agents.
💬 Hackers influence ChatGPT and Gemini to direct users to scam centers — HN is dissecting how planted websites steer ChatGPT and Gemini toward scam-center recommendations — a live example of retrieval poisoning hitting consumer models. 123 points, 40 comments.
💬 Show HN: Whiteboard (YC W26) – An open-source IDE for thoughtful software design — Show HN: Whiteboard (YC W26) — open-source desktop IDE where humans and agents co-architect software, not just co-write code. Early thread at 45 points.
Two security threads in one day: retrieval poisoning steering consumer models and first logged rogue-agent probes. The community is starting to treat agent abuse as an operational problem, not a hypothetical.
💬 Early rogue AI agent activity and attempts to hack found on urlquery.net — urlquery.net logs show early rogue AI agent probes and hack attempts — HN thread (203 points, 191 comments) debates whether existing cybercrime law already covers autonomous agents.
💬 Hackers influence ChatGPT and Gemini to direct users to scam centers — HN is dissecting how planted websites steer ChatGPT and Gemini toward scam-center recommendations — a live example of retrieval poisoning hitting consumer models. 123 points, 40 comments.
💬 Show HN: Whiteboard (YC W26) – An open-source IDE for thoughtful software design — Show HN: Whiteboard (YC W26) — open-source desktop IDE where humans and agents co-architect software, not just co-write code. Early thread at 45 points.
Two security threads in one day: retrieval poisoning steering consumer models and first logged rogue-agent probes. The community is starting to treat agent abuse as an operational problem, not a hypothetical.