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Nov 7Sat
  1. Hacker News AI70

    APM – A dependency manager for AI agents

    APM is a dependency manager for AI agents that lets projects declare skills, prompts, instructions, plugins, and MCP servers in one apm.yml, then run apm install to deploy each primitive to supported harnesses including GitHub Copilot, Claude Code, Cursor, Codex, Gemini, Windsurf, and Kiro. It uses a lockfile to pin exact versions and content hashes, scans installs for hidden Unicode, and enforces apm-policy.yml at install time including transitive MCP servers. APM is open source under the microsoft org, MIT-licensed, and built on AGENTS.md, Agent Skills, and MCP.

  2. Hacker News AI58

    Show HN: Select – AI agents that earn autonomy through verified work

    Select is a multi-agent system where agents in roles like support, sales and marketing work under YAML delivery contracts whose checks are run by code, with receipts kept, and earn promotion from supervised to sampled to autonomous per task type based on verified successes, reverting on failure or human correction. It is at version 0.2, with Docker/Compose startup and end-to-end tests covering accounts, guided setup, local IMAP/SMTP mail and the verification loop, but real model API calls and real mailboxes have not yet been verified. Payments, contracts, taxes and hiring remain always supervised in code, and no benchmarks have been published yet.

  3. Hacker News AI34

    Reverse Engineering with AI: Your Decompiler Can Lie to You

    A walkthrough using XRef 0.4.0 on a synthetic stripped C/assembly program shows how serialized field names can be traced to offsets and candidate writer functions, but that 2,000 uncalled decoy functions write the same offsets and earn the same 40-point write score as the real function, which only ranks first via a 10-point call-graph bonus from sharing main as a caller. The article stresses checking every conclusion against machine instructions and call sites, distinguishing addresses from loaded values, and treating an access range as not a struct declaration. It also notes that a historical XRef reproducer produced pseudo-C returning 99 where the machine code returns 4, and that empty or truncated results must report coverage limits rather than be read as proof.

  4. Hacker News AI58

    Show HN: Goethe – The infrastructure for self-hosted AI

    Goethe turns a Linux machine with NVIDIA GPUs into a self-hosted API compatible with OpenAI, Anthropic and LiteLLM clients, letting you install, load and share models in three steps. It serves every loaded model at one address, supports rate-limited and revocable keys, and offers network options including local-only, VPN or public IP. It requires an NVIDIA driver (580+ for GeForce/TITAN cards) and ships its own CUDA 13 runtime, with support for Blackwell, Hopper, Ada and Ampere GPUs.

  5. Hacker News AI58

    Show HN: AJX – Find out where AI agents get stuck using your product

    AJX is an open-source skill and CLI for agent usability testing that lets you test how AI agents use your website, CLI, SDK, API, or developer tool, recording the attempt, checking the result, and showing where the product made the task harder. It reports elapsed time, retries, and token usage where the harness exposes it, and produces a report connecting each proposed product change to supporting events plus a timeline of forks, blocks, waits, and recoveries. It supports local or Docker execution, comparison across harnesses and models, and CI runs via `ajx ci` that write JSON and JUnit results.

  6. Hacker News AI58

    Leeroy: Making AI agents play World of Warcraft

    A software engineer describes LEEROY, a benchmark in which LLM-based agents play World of Warcraft on an AzerothCore private server by writing Lua scripts that control a headless game client in real time, since agents act in turns of 2 to 60 seconds. The SDK exposes only what a human player can see and do, so coordination such as grouping and crowd-control calls must be implemented by the agents themselves, and the author settled on XP per hour as the best scoring metric after six iterations of the judge program. A group of five agents that were not told to cooperate formed a party 29 seconds into their first run and cleared the Deadmines in 17 hours 41 minutes; the source code is on GitHub and results are at leeroy.dev.

  7. MIT News AI38

    How to predict the behavior of molecules from scant data

    MIT researchers developed CheMeleon, a pre-trained foundation model built on the open-source ChemProp package that learns from descriptors of a million molecules in PubChem and can be fine-tuned to predict molecular properties from limited data. In tests across 58 cases it outperformed other foundation models and classical expert-designed models, and nine of the top 20 entries in an OpenADMET contest used it. The findings were published in the Journal of Chemical Information and Modeling by Zalte, Burns, Abreu, Green, and three BASF researchers.

  8. Hacker News AI36

    AI photo editing: Build on the editors we have instead of replacing them

    The author argues that AI photo editing often looks fake because current approaches rely either on fragile prompts or on AI rebuilding an editor from scratch each session, and proposes instead connecting AI assistants to established desktop editors like Photoshop or GIMP. Their project, Editmamei, lets the AI decide the edit while the editor applies it layer by layer with real masks and adjustments, producing a layered file that can be opened and changed. The desktop version is free, with source at github.com/editmamei/editmamei.

  9. Hacker News AI50

    Auria Chain – SDK for AI agents to pay AI agents over HTTP (x402)

    Auria Chain is an SDK that lets AI agents pay other AI agents over plain HTTP with on-chain settlement, no human in the loop and no new token. It provides createSellerMiddleware to paywall an Express route and createBuyer to make payments, plus a two-agent demo where a seller does paid Claude work and a buyer pays in testnet USDC. It is published on npm as auria-chain and is testnet only (Base Sepolia) via the public x402.org facilitator, with production (Coinbase CDP facilitator, mainnet) not yet wired up.

  10. Hacker News AI58

    AI Product Team – 64 specialized AI agent roles with executable CLI workflows

    AI Product Team is a package of 64 specialist agent roles, 28 shared methods and 12 workflows for building AI features inside Claude Code and Codex, where a plain-language product question routes only the specialists it needs and records what each conclusion rests on. It requires Python 3.12 or later and installs only under .claude/, .codex/ and .agents/ in a project, with review gates that cannot be skipped and a case ledger in aipt-cases/<case>/ledger.jsonl. The author states v0.1 (October 2026) definitions are written and checked but none has been evaluated on a live model, and that no workflow has been shown to complete end to end.

  11. MarkTechPost36

    Zyphra ZYFA: FP8 FlashAttention for AMD MI355X, Up to 1.76x Faster

    Zyphra released ZYFA, an Apache 2.0 open-source library of FP8 and BF16 prefill attention kernels for AMD Instinct MI355X GPUs (ROCm 7.2.3, PyTorch 2.12) with a drop-in flash_attn_func interface. Its FP8 kernels run 1.16-1.76x faster than AMD's AITER on real model activations, reaching 2,672 TFLOP/s at 32K tokens (53% of FP8 peak), and show 62-78% lower FP8 error than AITER at head dimension 128. ZYFA covers causal prefill forward only, with no decode or paged KV support.

  12. Hacker News AI40

    Stay ahead in AI race; Build on next AI Idea

    dAIly is an open-source, GitHub Actions–scheduled AI digest that goes beyond "what happened" to answer "what should I build," closing each issue with an evidence-backed Opportunity of the Day and logging every pick to docs/receipts.md. It supports pluggable providers (Gemini, Claude, or local Ollama), a SOURCE_PRESET variable to retarget the briefing to security, biotech, or fintech, cross-day deduplication, and a freemium split where the Opportunity of the Day is public and the Builder's Edge is private. Setup requires a Gemini or Anthropic key plus a Resend key, with a free dry-run path via Ollama.

  13. Hacker News AI32

    Show HN: AegisKernel – Zero-trust POSIX runtime for AI agents in <0.016ms

    AegisKernel is presented as a zero-trust POSIX runtime for AI agents that uses deterministic capability boundaries instead of probabilistic LLM guardrails, claiming to block autonomous tool hijacking in sub-millisecond time. The page includes a red-team attack vector generator with an execution interceptor telemetry panel and a two-line integration example for LangChain, CrewAI and AutoGen via an AegisShield with a strict SecurityPolicy.

Nov 6Fri
  1. vLLM Blog72

    Zero Mismatch, Simple Async RL: REINFORCE Zero, DeepSeek-V4.1 and Kimi K3.1

    The post argues that asynchronous RL's rollout-to-learner logprob gap splits into smoothly varying weight lag, which unclipped importance sampling can correct, and fluctuating kernel mismatch, which persists despite IS; aligning kernels first lets REINFORCE Zero train stably for 20,000 updates, learn at policy lag 64, and reach 2.40× the training-step throughput of synchronous training with aligned kernels. It reports zero mismatch (bit-for-bit logprob agreement) for DeepSeek-V4.1-Flash and Kimi K3.1 on day 0, and for DeepSeek-V4-Flash and Kimi K3.1 on AMD MI355X. Code and recipes are in Inferact/zero-mismatch-rl, with the paper at hijkzzz/REINFORCE-Zero and training code in NVIDIA-NeMo/labs-molt.

    Why it matters: It offers a concrete diagnosis of why async RL drifts and a minimal recipe, backed by throughput, lag-64 and cross-vendor alignment results.

  2. Hacker News AI58

    Show HN: Agentic Identity Broker, OAuth Delegation for AI Agents

    Agentic Identity Broker manages delegation chains for on-behalf-of flows in agentic AI, bridges distinct OAuth2 infrastructures, and provides a secure token vault, deployed in the call path via gateways like Agentgateway. It handles OAuth2 ceremonies, token vaulting and token translation centrally so MCP server developers only need to provide tools, and it offers consent management, audit logging, and an impersonation feature for delegation chains without user presence. The project is in active development and used internally in production for several MCP servers.

  3. Hacker News AI58

    Show HN: Current – Change control for AI agents (Elixir)

    Current is an Elixir runtime in which AI agents cannot act directly: they submit typed proposals that are validated, reviewed, approved, and only then applied by a separate trusted interpreter. Every step, from the request and the files the model read to approvals and effect outputs, is recorded in a hash-chained, event-sourced log that can be replayed to rebuild state. It is early-stage, single-node, and explicitly not a sandbox or authentication system.

  4. Allen Institute for AI Blog55

    ToyBlocks: A controlled world for robot learning and evaluation

    Ai2 introduces FoundationWorlds, a framework pairing controlled simulated environments with tools for automatically generating tasks, demonstrations, and behavioral metrics, starting with ToyBlocks, an open simulation of a robot arm manipulating blocks on a tabletop. ToyBlocks generates demonstrations via reinforcement learning, motion planning, and a task-and-motion planner at up to 24 times real-time on a single GPU, and supports studies of data scaling, spatial generalization, long-horizon planning, world models, and sim-to-real transfer. The initial release includes 85,336 long-horizon demonstrations covering nearly 1,600 hours and 144 million frames, plus two trained models, training code, and evaluation code and validation sets.

  5. Hugging Face Blog58

    ToyBlocks: A controlled world for robot learning and evaluation

    ToyBlocks is an open simulation framework built around a robot arm and blocks on a tabletop that automatically generates tasks and demonstrations, using reinforcement learning and motion planning to produce skills such as pushing, flipping, and stacking. It supports studies of low-level action model generalization, high-level planning with vision-language models, agentic systems using tool calls, action-conditioned world models, and zero-shot sim-to-real transfer, with an initial release of 85,336 long-horizon demonstrations covering nearly 1,600 hours and 144 million frames. The authors present ToyBlocks as the first of their FoundationWorlds and plan a second release with a larger dataset, more skills, and integrated RL training.

  6. Hacker News AI65

    Baton – Keep long coding goals moving across AI coding agents

    Baton is a tool that keeps a single long coding goal running for days by rotating it between coding agents, ending each agent's turn at 5 hours or USD 50 and excluding Claude from a goal after USD 150 spent. It works with Codex and Antigravity alone, with Claude as an optional pay-per-use third agent that joins only once an API key is saved, and it finishes a goal only when a verification command exits 0. Each goal cycles through plan, build and review phases, with context passed between agents via the repository, commits and a handoff file, and Superpowers is required for every round.

  7. Hacker News AI58

    Show HN: Antidraw – Open-source AI prototyping canvas for any React library

    Antidraw is an open-source, MIT-licensed design canvas that runs Claude Code locally with your own Claude account, where each frame is real React code built from libraries like shadcn/ui, Radix, Mantine and Material UI, or any npm package. It is currently in early alpha for macOS (Apple Silicon and Intel), with signed and notarized builds and automatic updates via electron-updater.

  8. TechCrunch · AI55

    Underdog shows off a 32MB speech model in new demo

    Underdog released a browser game called Woof built with its new 32MB speech generation model, which has 31 million parameters, is open for download, and the company says can run on most devices without an internet connection. The demo follows Underdog's earlier 167MB Bark speech-to-text model, and founder Sigil Wen told TechCrunch he wants to train open, American-made models that let people run capable AI locally and keep their data private. Underdog has also released a 27-billion-parameter model that can run on laptops and a waitlisted locally-hosted app.

  9. Hacker News AI58

    Lowvram: A CLI tool to run large AI models in low VRAM GPUs

    Henrique Soares introduces lowvram, a Linux CLI tool that intercepts CUDA calls via LD_PRELOAD, replacing cuMemAlloc with cuMemAllocManaged so applications can use system RAM when VRAM is insufficient. On a 6 GB RTX 3060, YuE2 under lowvram generated 43.1 tokens per second versus 1.9 for Accelerate and 6.8 for CPU, and Llama-TTS with Qwen3-TTS ran after a standard run failed with an out-of-memory error. The author notes trade-offs: PCIe paging slows computation, system RAM can be exhausted, and the tool requires CUDA knowledge.

  10. Hacker News AI58

    Most AI apps learn about you on their own. exxperts learns with you

    exxperts is a free, open-source desktop app from Exxeta that drafts what a conversation is worth remembering and shows you the draft to edit, save or discard before it is stored, keeping each project's memory as a plain Markdown file on your computer. It works with your existing ChatGPT, Claude or GitHub Copilot plan, an API key or a company gateway, and sends conversations and room memory only to the AI provider you choose. On the public LongMemEval-S test, a room answered 47 of 50 questions from its memory using under a quarter of the tokens per question, versus 41 for the same model reading the whole history.

  11. Pydantic AI Articles36

    Pydantic AI is now a supported agent in AgentEnv Framework

    Scale AI's open source AgentEnv Framework, which builds reproducible environments with realistic apps, data and multi-step tasks for testing agents, now supports Pydantic AI as an agent that runs in process with the Coder capability from Pydantic AI Harness. The post explains configuration via an OpenAI-compatible endpoint, a mail-mcp example bundle with a task that deploys the environment, prompts the agent and runs a verifier, and notes that swapping a2a_agent_id to claude-code lets you compare agents on the same task.

  12. Hacker News AI38

    AI Agent Has Amnesia. Mine Keeps Receipts

    Alexander Panasenko describes KYB (Know Your Business), his open-source Git-backed store that keeps versioned records with lifecycle states (active, archived, retracted) so coding agents across Claude Code, Codex and Antigravity can query current state, history or a time slice separately instead of trusting stale Markdown notes. Pinned to KYB v0.3.3 (commit 06f63b5, October 27, 2026), the piece covers write-time versus event-time limits, deadline reminders, and a small qualitative survey of five internal agents, with no controlled benchmarks.

  13. Hacker News AI58

    Show HN: Mantis – AI agents browse 36% faster than with Playwright MCP

    Mantis is an MCP server that lets AI agents browse the web as short, numbered text instead of screenshots, and works with Claude Code, Codex, Cursor or custom agents. In the author's benchmarks against Playwright MCP's accessibility tree, long tasks used 29-47% fewer input tokens, 29-37% fewer calls and about a third less time, while short tasks used 35-57% fewer input tokens with equal or better accuracy. Limitations include no canvas input, login and bot walls requiring ask_human with a display, and benchmarking only on read, navigate and form-fill tasks with two models.

  14. Hacker News AI48

    Axiom – blocks AI agents from inventing limits your code never defined

    Axiom is a zero-dependency local guardrail that runs as a pre-write hook in Claude Code and Cursor, or as a stdin/stdout filter for other agents, blocking tool calls before writes occur. It uses regex and AST-pattern detection across three components (Noema, Lemma, Manam) to catch hardcoded numeric bounds, auth bypasses, dangerous Bash, secrets, dependency confusion and invented rate limits, with a tri-state TRUE/FALSE/UNKNOWN logic that halts on UNKNOWN. The author states detection is not semantic and can be bypassed with minor obfuscation, positioning it as a first line of defense alongside container isolation, branch protection and secret scanning.

  15. vLLM Blog42

    VeRL-Omni v0.3.0: Async Training and Broader Multimodal Post-Training

    VeRL-Omni v0.3.0 adds asynchronous and decoupled RL execution paths across multimodal workloads, makes the TransferQueue/ReplayBuffer-based V1 trainer the default, and moves the rollout stack to vLLM 0.30.0 and vLLM-Omni 0.30.0. It includes end-to-end recipes for MiniMax H3 audio-video post-training with DiffusionNFT and MiniCPM-o 4.5 AVQA GSPO, where a 4×H800 experiment found separate-async about 9% slower per prompt at natural response lengths but roughly 6.7% faster at 1024 tokens. The release also expands model and algorithm coverage, adds Ascend and AMD ROCm Dockerfiles, and notes upgrade changes including V1 as default, named diffusion media artifacts, and fail-closed attention backends.

  16. Hacker News AI31

    Show HN: Lab Canary – Rating AI labs on whether their staff can speak up

    Lab Canary is a public scorecard that rates what is publicly known about AI labs' staff contracts and speak-up policies against a seven-clause standard: protect real secrets, never gag criticism or whistleblowing. Ratings draw only on public evidence—published policies, public statements and credible reporting—with each rating linked to its source, and "Not public" is shown separately rather than treated as neutral. The site is a single HTML page with public data files on GitHub under the MIT licence, built by an author who discloses having applied for jobs at Anthropic, OpenAI and Google DeepMind.

  17. Hacker News AI71

    AgentSight: System-wide AI agent profiling and monitoring with eBPF

    AgentSight is a local-first, top/strace-like observability tool for AI agents that uses eBPF and TLS traffic tracing to connect prompts, model calls, and tool decisions to their real effects on the machine, without requiring an SDK, proxy, or vendor integration. It works with existing agents such as Claude Code, Codex, Gemini CLI, OpenCode, and OpenClaw, offering live session views, process/file/network tracking, saved SQLite session reports, a web UI, and OpenTelemetry export. The project is MIT-licensed and installable via Homebrew, Cargo, release binaries, or Docker, with eBPF requiring Linux kernel 4.1+ and sudo access for live capture.

  18. MarkTechPost67

    Baidu Releases ERNIE 5.5 Flash Base: A 280B MoE Base Model With 14B Active Parameters

    Baidu has released ERNIE 5.5 Flash Base, a 280B-parameter text-only sparse MoE pre-training checkpoint that activates 14B parameters per token, with 128K training context and up to 1M for fine-tuning and inference. It uses hybrid attention (37 HCA layers caching 1 entry per 128 tokens plus 6 MLA+DSA layers), 512 routed experts with top-10 plus one shared expert, and ECHO in place of MTP, and was pre-trained from scratch on 33.5T tokens with the Muon optimizer. Baidu reports best scores on 24 of 30 base-model benchmarks in its unified pipeline, including MMLU-Pro 78.4 versus 69.2 for DeepSeek-V4-Flash-Base, with weights on Hugging Face and ModelScope in FP8 and BF16 and serving documented for SGLang and vLLM.

  19. Hugging Face Blog62

    New NVIDIA Cosmos 3 Open Models for Interactive World Simulation

    NVIDIA's Cosmos world model platform adds four new open-weight checkpoints to its Cosmos 3 family: Cosmos3-Nano-Transfer-Auto for multi-view driving data with varied weather, lighting and time of day; Cosmos3-Nano-Sim-Auto for streaming synchronized camera and LiDAR driving simulation; Cosmos3-Nano-Sim-Transfer for turning simulator controls and text prompts into photorealistic video; and Cosmos3-Nano-Sim-Bimanual for predicting video from robot or camera actions. All four are post-trained examples of Cosmos 3 Nano with 16B trainable parameters and use OpenMDW1.1, permitting commercial and non-commercial use under its terms. The post also details a four-stage training recipe (bidirectional adaptation, teacher forcing, consistency distillation, self-forcing) and post-training guidance for adapting the models to new sensor rigs and embodiments.

    Why it matters: It gives a concrete inventory of newly released open-weight world-model checkpoints plus the training recipe, useful for researchers weighing them for robotics or driving simulation.

  20. Hacker News AI40

    Show HN: Resilient AI Worker Queue with Redis, BullMQ, and Budget Kill Switches

    This post presents a production template for running fault-tolerant AI agent queues with automatic model failover across providers (OpenAI, Anthropic, Groq, Ollama), jittered exponential backoff retries, and a Redis-backed token-budget kill switch that halts jobs before exceeding spend limits. It uses BullMQ and Redis for dead-letter queues and concurrency limits, plus structured logging for Datadog, Grafana Loki, or CloudWatch. The community edition is MIT-licensed, with a $39 enterprise license adding dashboards, distributed rate-limiting middleware, and setup guidance.

  21. Hacker News AI58

    Show HN: Replay three AI agent approval failures in five seconds, in Python

    Call4Agents is a zero-dependency Python library that adds once-only actions, approvals bound to exact arguments, undo, idempotency keys and record/replay/diff to existing agents built on LangGraph, Pydantic AI, the OpenAI Agents SDK, MCP or plain Python. Its `call4agents incident` and `call4agents quickstart` commands reproduce crash-and-resume double actions (e.g. 2 emails without the kit, 1 with it) in real processes, and version 0.6 is Apache-2.0 with an optional PostgreSQL backend for multiple machines.

  22. Hacker News AI40

    Redditor uses AI to get Switch games running natively on Apple TV

    Redditor u/FloatingFalafel released TVPort, an open-source fork of the nxnative toolkit that recompiles Switch and Switch 2 games for Apple TV 4K using a Mac, built with Claude Opus 5.5. The project reportedly backs up save files to Mac or iCloud and offers 30 fps or 60 fps targets, with Super Mario Odyssey said to run at 60 fps with occasional slight stutters and audio issues around waterfalls, while The Legend of Zelda: Tears of the Kingdom experienced thermal throttling and may never run on the Apple TV 4K 3rd-gen. The repository contains no game files, so users must supply their own legally obtained copies.

  23. Hacker News AI58

    Show HN: Tokenome – code provenance for AI-assisted work, on your machine

    Tokenome is a local-first tool that links each line of code to the AI chat conversation that produced it, capturing transcripts from Claude Code, Claude Desktop, ChatGPT and Gemini and indexing them on your own machine via a CLI, web UI and MCP server. It reports a measured 38% reduction in context tokens with no measurable change in answer quality, and offers an optional self-hosted Team server (in free beta, $24 per seat per month afterward) that mirrors redacted project segments for team-wide search with attribution. Individual use on one machine is free, with no account, cloud embeddings or data leaving the device.

  24. The Decoder66

    Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model

    Baidu has released ERNIE-5.5-Flash-Base, an open foundation model shipped without fine-tuning or post-training, with a post-trained version said to follow. It uses a mixture-of-experts architecture with 280 billion parameters, 14 billion active per input, and was pre-trained on 33.5 trillion tokens with a training context of up to 128,000 tokens, designed to support up to one million tokens during fine-tuning and inference. Baidu says it competes with similarly sized open foundation models like DeepSeek V4 Flash and MiMo V2.5 on reasoning, code, and long-context benchmarks, and the weights are available on Hugging Face in FP8 and BF16.

  25. Artificial Analysis Articles62

    Nanbeige has released Nanbeige4.3-33B scoring 20 on the Intelligence Index

    Nanbeige, the foundation model research team at BOSS Zhipin (operated by Kanzhun Limited), has released Nanbeige4.3-33B, an Apache 2.0 open-weights dense reasoning model with text-only input and output and a 524K-token context window. It scores 20 on the Artificial Analysis Intelligence Index v5, matching Qwen3.8 27B (xhigh) at 20, with relative strengths in terminal use (30% on Terminal-Bench 4.0 vs. 6%) and physics reasoning (16% on CritPt v2's Hard Subset vs. 4%), but trails on AA-Briefcase v1.1 (1162 vs. 1391 Elo), FrontierCode 2.0 (11% vs. 15%) and HLE-Diamond (7% vs. 15%). It shows high abstention and low hallucination on Omniscience (18% vs. 29% hallucination rate, declining 71% of questions) and used 158K output tokens per Intelligence Index task vs. 110K for Qwen3.8 27B.

    Why it matters: Useful for readers tracking small open-weights models, since it sets a new Pareto point for Intelligence Index versus total parameters and details trade-offs against Qwen3.8 27B.

  26. Hacker News AI42

    Show HN: Magertron – AI Orchestrator for agents' tools, APIs, LLMs and streams

    Magertron is an AI orchestration platform that governs model inference and tool calls across vendors through a single Envoy-based gateway, with features including MCP server lifecycle management, a governance policy engine, RBAC, and OCSF-aligned audit events. It offers a free tier for up to 20 MCP servers with no signup, plus Pro ($499/mo), Business ($30,000/yr), and Enterprise plans, and ships an Apache 2.0 CLI called mcpctl. Version 4.2.32 adds OPA support.

  27. Hacker News AI34

    The AI Times – wake up to a printed paper, not a feed

    The AI Times is a self-hosted project that turns RSS feeds into a personalized morning newspaper, emails it at 6:00, and AirPrints it to a Wi-Fi printer at 6:05, with a pause/resume option for when you're away. It uses Python agents for news gathering, morning delivery and printing, plus a Next.js app for composing dense A4 layouts with daily puzzles, and supports BYOK news prompts via OpenAI, Claude, Gemini, Groq, Ollama or an offline desk. The code is on GitHub under the MIT license.