Agent-Safe Pipeline is a Decionis TypeScript library and runnable reference implementation for routing AI-agent actions through an independent authorization boundary. It captures an agent’s proposed action, target, and parameters as an immutable intent, sends the intent to a Decionis policy gate for an ALLOW, ESCALATE, or BLOCK decision, and coordinates verified human approval followed by policy re-evaluation for escalated actions. Agents cannot authorize their own actions, access downstream privileged credentials, or select trusted handlers. SafeExecutor accepts only the captured intent and decision, uses a sealed ActionRegistry to map action names to trusted handlers and validate parameters, and consumes a single-use grant bound to the intent before calling an API. The repository includes examples for Shopify refunds, GitHub deployments, procurement, and governed MCP tools, plus canonical-hash conformance vectors and architecture, threat-model, and security-evidence documentation. It is a self-hosted reference implementation rather than a hosted authorization service; its documented safety boundary also depends on provider-side identity, least privilege, network isolation, and incident response. The demos require Node.js 22.14 or later and pnpm 9.
Anti Slop is an open-source set of rules and agent skills for AI coding agents that filters generic AI-generated user interfaces, copy, and code without prescribing colors, fonts, layouts, or other visual styles. Its core contains 38 mandatory rules across Hard Gate, Purpose-Gate, and Quality Locks tiers; a Liveliness Toolkit with ENERGY, RHYTHM, and MOTION controls; a Design Read; and a mandatory four-part PASS/FAIL Delivery Gate. Task-specific skills are organized as separate SKILL.md folders and loaded additively, while a project’s DESIGN.md supplies the visual direction. The repository provides installation through the npx antislop-ai picker, the skills.sh-compatible npx skills add command, or a Claude Code marketplace plugin, with support for agents including Claude Code, Codex, Antigravity, OpenCode, Cursor, Gemini CLI, and Hermes.
A framework-free WebGL2 package for rendering Apple-inspired translucent glass surfaces for folders, rectangles, pills, and circles. Its renderer models screen-space refraction using a squircle signed-distance-field thickness field, Snell refraction with a meniscus rim, variable-blur scattering, Fresnel reflection, chromatic dispersion, edge highlights, contact shadows, hit testing, and live backdrops. It provides the original frosted V1 renderer and a separate clear optical V2 renderer, each with its own material contract; both can be used together. The package is distributed through npm, requires WebGL2, accepts CSS-pixel element coordinates, and can load image backdrops.
ASD-STE100 Skill is a Claude Code skill that rewrites dense or ambiguous English into ASD-STE100 Simplified Technical English for AI-agent outputs, including tool descriptions, error messages, READMEs, and inter-agent instructions. It offers Strict mode for procedures, error messages, and tool descriptions, and STE-flavored mode for explanatory prose. The skill reads the input for meaning, flags sentence-level issues such as ambiguous wording, complex tense, unclear passive voice, multiple instructions, long sentences, noun clusters, phrasal verbs, nominalizations, semicolons, hedge stacks, and marketing adjectives, then rewrites flagged sentences while retaining facts, conditions, and scope qualifiers. It can also provide a before-and-after table naming the rules that each sentence breaks.
BlueFerry is experimental Linux software that connects a paired iPhone to a Linux desktop over Bluetooth, without a Mac relay, Apple login, cloud service, or subscription. It provides native GTK, KDE/Kirigami, Quickshell, and terminal clients for reading and sending SMS, RCS, and iMessage, starting conversations, syncing contacts, marking messages read, and optionally mirroring other iPhone notifications. Local message history can be encrypted with GNOME Keyring or KDE Wallet. It only receives messages observed while connected and does not download an iCloud Messages archive. Attachments, reactions, typing indicators, FaceTime, calls, and complete sent-message history are unsupported; group replies are disabled or require confirmation when Bluetooth does not provide enough participant information. The project distributes native packages for several Linux distributions and warns that changes to iPhone Bluetooth behavior could affect compatibility.
book-to-skill is an open-source agent skill that converts technical books, document folders, or collections of source files into a unified skill for GitHub Copilot CLI, Amp, or Claude Code. It accepts PDFs, EPUBs, office documents, plain text, folders, globs, and file lists; the videos also describe OCR support for scanned PDFs. The tool distills source material into structured knowledge rather than a single summary, extracting frameworks, decision rules, anti-patterns, and per-chapter Markdown files. It also generates a core SKILL.md with a chapter index, plus glossary, patterns, and cheatsheet files. Agents load the relevant chapter and supporting files on demand, allowing answers to be grounded in the source content without placing the entire book in the context.
Cinematic Zoom is a browser-based three.js application that flies a camera from orbit to selected locations on Earth and records the movement as an MP4. Users choose a landmark or enter a name, coordinates, DMS coordinates, or a map link, then select a shot preset—Dive, Descent, Orbit, Flyby, or Hyperzoom—a lighting setup, and a duration. The camera's distance, bearing, pitch, lens, and roll each follow separate curves rather than a single interpolation, while the app positions the sun for the selected location and renders Google's photorealistic 3D tiles. The project is built on the three.js 3d-tiles-renderer, with tiles streamed through Cesium Ion and atmosphere and clouds supplied by @takram/three-geospatial. It requires Node 22.12 or newer for local development and a browser with WebGL 2; recording additionally requires WebCodecs with a hardware video encoder. A Cesium Ion token or a Google Maps Platform key with the Map Tiles API enabled is required, and the app stores the token in the browser.
claudish-to-english is a Claude Code plugin that uses a language model to produce a plain-language rewrite of each assistant message while leaving Claude's reasoning and saved transcript unchanged. Its display hook buffers streamed message chunks, rewrites the completed message through Ollama by default or through the Codex CLI, Anthropic API, or an OpenAI-compatible API, and displays the result in append or replace mode. It follows the input or configured output language and supports configurable rewrite styles, prompts, models, and runtime toggles through the /claudish command and environment variables. An optional PostToolUse hook rewrites Markdown files in a configured directory into a sibling .plain.md file or in place. The hooks fail open: provider errors, missing dependencies or keys, timeouts, unavailable models, and capped outputs leave the original message or file unchanged.
Colite is an experimental C++17 structure-from-motion and multi-view stereo system that reconstructs 3D scenes from overlapping images. Its pipeline performs incremental structure-from-motion with support for multiple models, continuation, and Sim(3) merging; feature extraction and matching; PatchMatch stereo with geometric consistency; stereo fusion; meshing; simplification; and texture-atlas generation. It produces COLMAP-compatible sparse models, RGB and normal dense point clouds, Poisson or Delaunay meshes, and textured OBJ models with MTL and atlas PNG files. CPU and optional CUDA implementations are provided for SIFT, descriptor matching, and PatchMatch Stereo, and resumable stage manifests allow processing to continue from saved stages. The repository describes the current build as alpha-quality, primarily developed and tested on Ubuntu 22.04 and WSL2; native Windows builds are not yet validated as a supported release target.
DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. It uses an architecture in which everything is a plugin and is powered by Cordis, whose design is described in “A Programming Paradigm for Spatiotemporal Composability.” The npm package can launch a local Web UI with `npx @deepseek-ai/dsh web`, serving at `http://127.0.0.1:3080` by default and opening the default browser; it can also be built and run from a repository checkout. The project is in developer preview and warns that compatibility-breaking changes may occur. It is licensed under the MIT License, with third-party dependencies and their licenses documented separately.
An experimental community preset for DeepSeek Harness, an LLM-agent harness. It starts a session with the real Minimal tool schema containing only a shell tool and a file-reading tool, using that condition to anchor the model's initial trajectory. After the first durable tool call or assistant reply, it promotes the session to the full Standard tool catalog, making heavier tools available on demand. The repository also includes related zero-anchored, self-introduction, prefab, and eternal-Minimal modes, and states that it is not an official DeepSeek preset or affiliated with DeepSeek.
Ember is a collection of redshift-aware color palettes for terminals, interfaces, charts, and heat maps. It models warm-screen filters at 3400 K, 2000 K, and 1200 K, where each RGB channel is multiplied by a different gain, and supplies palettes designed to preserve text readability, categorical color separation, contrast, perceptual separation, and ordered lightness after the modeled transform. It includes neutral or warm-neutral text and surface colors, terminal accents, categorical palettes, and 256-sample sequential maps; deeper filters intentionally provide fewer distinct semantic colors and may assign unsupported ANSI names as aliases. The palettes are distributed in terminal, CSS, JSON, Python, and Matplotlib formats. The repository documents deterministic filtered-output simulations based on published gains rather than photographs, calibrated physical color temperatures, or predictions of every display pipeline.
An open-source AI software-development factory provided as a Vercel template and implemented by Foreman. It takes tasks from GitHub issues, GitHub mentions, Linear Agent Sessions, or a local developer TUI and moves them through four isolated agent stations: a Classifier triages task type, priority, complexity, and actionability; an Analyst creates a plan and acceptance criteria from a live repository checkout; an Implementer executes the plan in a sandbox, runs the repository's checks, and pushes a branch; and a Reviewer independently evaluates the resulting diff with evidence. The pipeline produces a reviewed draft pull request for human approval, after which people mark it ready and merge it. Foreman maintains shared repository notes between runs, can diagnose failing CI on its own factory pull requests, and posts progress to the originating GitHub or Linear task. The deployment flow configures GitHub and Linear connectors, Vercel Blob storage, a target repository, and an issue label.
Graft is an open-source codebase-context tool for coding agents, developed by NanoNets. It builds a repository graph and stores the result as linked Markdown files, with one node for each system, API, or concept and links describing how parts of the codebase connect. The graph supplies targeted context to agents instead of requiring them to rediscover repository structure during every task. It provides a CLI and MCP server, with integrations for Claude Code, Cursor, Codex, Gemini, and other coding agents. The CLI supports repository initialization, graph building, targeted search and orientation through commands such as `graft grep` and `graft map`, and graph visualization. `graft init` can install the agent wiring and background rebuild hooks; the generated graph is a local, regenerable cache that is added to `.gitignore` by default.
ha.mr is a static URL compressor and QR code optimizer that runs entirely in the browser without a back-end database. It detects common URL components such as protocols, www prefixes, and index.html, encodes ports as numeric values, matches domains and top-level domains against a Huffman-coded dictionary, and compresses the remaining URL segments using predefined character sets or Huffman coding. For QR codes, it uses the QR alphanumeric character set to reduce encoding overhead.
Human Review is a local visual review tool and agent skill for editing HTML and Markdown files, reviewing localhost pages, and sending feedback to an AI coding agent. It opens a file or URL in a browser, where users can edit text and basic formatting, rearrange or remove page elements, resize or paste images, and attach comments to exact phrases, images, charts, or sections. Direct HTML edits and image changes save automatically; Markdown and localhost reviews are sent to the agent, which applies the changes to the source and refreshes the page. The tool includes CLI commands for review sessions, polling, status, and setup, plus a local server, editing and feedback SDK, browser client, Markdown renderer, and instructions for agent harnesses such as Claude Code and Codex. It runs on the user's computer without an account, cloud service, database, or API key.
An open-source, executable playbook of agent skills for U.S. utility-patent work. It provides SKILL.md instructions, checklists, intake questionnaires, examiner and adversary protocols, and deterministic Python checks for dates, claim counts, and fees. Its three main workflows are a pre-filing audit, a simulated USPTO prosecution examination loop, and an adversarial design-around test. The repository grounds its simulations in 35 U.S.C., 37 CFR, the MPEP, and current USPTO materials that the agent is instructed to refresh, but it does not file applications, contact the USPTO, provide legal advice, or perform acts reserved for registered practitioners. It is licensed under GPL-3.0.
lumabri is a pure-C system for running large mixture-of-experts models across a swarm of peer machines using the colibri engine. A machine hosting a model serves it to other machines; model bytes needed during inference are fetched from peers on first use and retained in a shared content-addressed store. With Segment available, peers retain assigned layer ranges and their state while clients receive the tokenizer, embeddings, final transform or head, and conversation state; the system can instead fall back to the expert/CAS engine or local execution when a complete Segment route is unavailable. It supports CPU- and SSD-first participation as well as GPUs, and provides serving and chat commands, a terminal UI, configurable disk and compute donation, machine and health diagnostics, swarm monitoring, and low-priority peer-to-peer or signed relay transfers. The video also describes routing of missing model blocks or expert activations between peers, with hashes, signatures, and optional encryption used for protection.
MCP-Memory is a Model Context Protocol server that gives AI coding agents persistent memory across chat turns and sessions. It stores memory records as human-readable Markdown documents following the Open Knowledge Format (OKF v0.2), with YAML frontmatter, hierarchical index files, and an update log, while maintaining a local SQLite FTS5 index for key lookups, keyword search, tag filtering, and namespace-scoped retrieval. The server exposes MCP tools for storing, retrieving, searching, and deleting memories, and supports project, user, and default namespaces; a setup wizard configures supported MCP clients including Claude Desktop, Cursor, Antigravity, Windsurf, and Codex.
mcptoon is a cross-agent Model Context Protocol (MCP) management CLI that gives agents access to configured MCP servers through ordinary command-line calls, rather than loading large tool catalogs into their context. It discovers existing server configurations, maintains ~/.mcptoon/config.json as a single source of truth, synchronizes that configuration across agents, serves a tool-name manifest on demand, and composes a single-entry proxy for MCP access. Tools are launched when invoked, and the project supports native MCP JSON, structured output, optional TOON compression, and envelope passthrough; the videos also describe output checks for prompt injection and credential leaks. The project is distributed as a Python package for Python 3.10+ and is described as using only the standard library, with no third-party dependencies. Its repository documents compatibility with agents including Claude Code, Cursor, and Codex, and provides commands such as `quickstart`, `demo`, and `call`. It is free and open source under the Apache-2.0 license.
MiniMax Music 3 is a music-generation model from MiniMax AI that creates complete songs of up to five minutes from lyrics and a music description. Lyrics can use section tags such as verse, chorus, bridge, instrumental, solo, and outro; the music description specifies style, emotional progression, vocals, instrumentation, arrangement, and production. A structured-caption format can organize these instructions into global metadata, vocal details, and arrangement sections. The model uses a hierarchical autoregressive hybrid architecture: an 8B Global LLM predicts the first residual-vector-quantization codebook frame by frame to model long-range musical structure, while a 0.6B Local LLM predicts the remaining acoustic codebooks within each frame. Its continuous hidden-state synthesis module combines the two models' final hidden states with Flow Matching and Flow-VAE to produce 32 kHz, 16-bit stereo WAV audio, preserving information for vocal articulation, instrumental texture, and temporal continuity.
Multi-Agent Workbench is a local-first browser control room for orchestrating coding agents such as Claude Code, Codex CLI, and generic PTY-based command-line agents. Agents work in task rooms under editable YAML role cards that define permissions, speaking style, and decision boundaries; a rule-driven orchestrator pauses execution and risky commands for human approval, while persistent sessions expose terminal activity and status. The system uses a local event-driven architecture with a React interface, Fastify backend, REST API, server-sent events, agent adapters, an approval service, and a SQLite event store. Every action passes through the API and is recorded in an append-only event log, whose events are projected into timelines, decisions, terminal views, artifacts, and diff views. It also provides task templates, Markdown reports and decision logs, real-time room updates, and configurable risk resolutions. Code-writing agents are intended to use isolated Git worktrees, with diff and patch review before changes reach the main workspace; the repository marks this worktree and merge flow as in progress.
OpenAnalytics is an open-source, self-hostable web analytics stack developed by OpenLabs. It uses a lightweight browser tracker without cookies, fingerprinting, or cross-site profiles, and provides aggregate-only analytics for page views, custom events, sessions, web vitals, funnels, retention, embeddable widgets, public sharing, live presence, and Stripe revenue attribution. The repository is a pnpm monorepo comprising a tracker, ingestion collector, queue worker, API, ClickHouse query gateway, realtime SSE service, Next.js dashboard, and CLI. Postgres stores control-plane data, ClickHouse stores events and rollups, and Valkey provides the event queue and realtime cache. The query gateway is the only component permitted to read ClickHouse and verifies Ed25519-signed query envelopes; visitor identity uses a salted hash that rotates nightly, while optional city-level geolocation is resolved against a database on the host. It also includes CSV/JSON import and export, an MCP server, and an AI assistant. The project is licensed under AGPL-3.0. It can be self-hosted with Docker Compose, or used through the authors' hosted instance at getopen.so. Release images are published to GitHub Container Registry.
oss-pr-reviewer is an AI-powered command-line tool for reviewing GitHub pull requests and producing structured Markdown or JSON reports for maintainers. It fetches pull-request metadata and changed-file patches with Octokit, normalizes reviewable content, skips binary, patchless, truncated, and oversized files with explanations, and splits large text diffs into deterministic batches without cloning or executing the repository code. The tool sends batched changes to OpenAI for structured findings, validates responses with Zod, then merges, deduplicates, orders, and filters findings by severity. It can apply repository-specific review rules and ignored paths from a trusted base-branch `.oss-pr-reviewer.yml` file, retry transient GitHub and OpenAI failures, and optionally publish bounded advisory reports through GitHub Actions. It requires Node.js 20 LTS or newer and, according to the repository, is run from a checkout because its package-ready release is not yet published to npm.
pdfcn is a free, open-source library of customizable PDF components for React, designed in the style of shadcn/ui. It uses a registry format and CLI workflow for copying components into an application, where they can be customized and composed into tables, forms, charts, invoices, reports, and other documents. PDFs can be rendered through either Takumi or Forme. The project provides zero-configuration defaults, live previews in its documentation, shared themes and props, and composable React components with renderer primitives. It is licensed under the MIT License.
pgbot is a read-only PostgreSQL observability and health-diagnosis tool for AI agents, applications, and operators. A static binary connects to PostgreSQL, reads the database's own statistics views, and produces deterministic, findings-first health reports, including a health score, critical/warning/note findings, verified healthy subsystems, and change information from local baselines. It provides focused commands for indexes, queries, tables, and vacuum, along with versioned JSON output for agents and scripts and an MCP mode. Its optional ask and explain commands add an AI interpretation of the same findings; inspection and database queries otherwise require no model key or external service. The project is in beta and uses a read-only pg_monitor role with session-level read-only, statement, and lock timeouts as additional safeguards.
pi-transcribe is a Pi extension for local speech-to-text dictation. It records microphone audio through a configurable Pi terminal shortcut, processes it with a locally downloaded speech model, and inserts the transcription at the editor cursor; streaming-capable models process audio in roughly 500 ms chunks, while other models process the complete recording after capture stops. It also registers a transcribe_file tool for local audio and video files and a /transcribe command for configuring languages, models, microphones, and shortcuts. File transcription requires FFmpeg, shares a loaded model across queued jobs, admits at most two file operations at once, runs one FFmpeg decoder at a time, and limits decoded audio to 128 MiB.
Rakazo is an open-source platform for running persistent AI teammates. Each bot has conversations, memory, routines, and history, and can access a browser, terminal, files, and a graphical desktop. Users can access bots through the web app, Electron desktop app, or Expo mobile app, and can take control of the graphical desktop when needed. The platform supports shared team computers and isolated private computers, bot delegation to peer bots or short-lived subagents, voice interaction, and user-provided model credentials through Pi. It can use Docker, E2B, Daytona, Box, or trusted local computers as computer providers, and supports integrations through Composio, Pipedream Connect, MCP, OpenAPI, and Treg sources. Rakazo can be self-hosted with Docker and is also available as a managed application. The repository describes it as being in beta and identifies a TypeScript stack using React, Vite, Tailwind CSS, Electron, Expo, Hono, oRPC, PostgreSQL, Prisma, Better Auth, and Graphile Worker.
An agent-facing collection of design and engineering skills by Emil Kowalski for building and reviewing user interfaces. Its guidance covers animation curves, durations, properties, gestures, haptics, screen transitions, motion placement, borders, shadows, typography, Apple interface principles distilled from WWDC talks, UI-library selection, modern Swift, prototyping, and product-interface details. The skills can create animations from scratch, review animations against defined rules, audit a codebase and produce prioritized implementation plans, identify worthwhile opportunities for motion while flagging what should not be animated, and build multiple UI variants navigated through a switcher. A React Native and Expo skill covers gestures, sheets, haptics, screen transitions, and keeping motion off the JavaScript thread; other skills guide use of the Sonner toast library and library selection. The collection is installed with `npx skills@latest add emilkowalski/skills` and is based on Kowalski’s stated experience at Vercel and Linear.
TermDOM is a JavaScript/TypeScript library for building terminal applications with HTML, CSS, and DOM APIs. It renders DOM nodes into a grid of terminal character cells, supporting CSS stylesheets and the box model, flexbox and table layout, text-width handling for CJK and other characters, forms, scrolling, Web Components, selection, and keyboard, mouse, focus, paste, and input events. It implements a browser-like rendering pipeline against character cells rather than pixels: styles and layout are recomputed for mutated content, the result is painted into a cell buffer, and differences from the previous frame are written to standard output as ANSI escape sequences. Input escape sequences are decoded into events dispatched to DOM nodes, and utilities such as querySelector(), MutationObserver, ResizeObserver, and getBoundingClientRect() operate on the cell-based layout.
tokentab is a local tool that reads Claude Code session logs and converts token counts into cost reports organized by model, project, day, and activity. It provides JSON output and a local dashboard, with the reported data remaining on the user's machine.
ttfx is a dependency-free Rust command-line tool that applies terminal text animations to piped input and distributes them as a single static binary. It is a parity-exact port of the Python TerminalTextEffects project, preserving its effects, animation engine, command-line interface, cursor behavior, options, and implementation quirks rather than introducing new artwork. Users select effects such as decrypt, beams, matrix, or a random effect with commands such as `cat banner.txt | ttfx beams`; the project documents 37 effects and byte-identical output to the Python original for the same input and seed. The port and original are MIT licensed.
ZSvirt is an open-source virtualization and IaaS platform backed by ZStack. Its management plane coordinates KVM-based hosts, clusters, virtual machines, images, networks, storage, volumes, snapshots, permissions, events, alarms, auditing, and lifecycle operations. Environments can be managed through a web interface, RESTful API, Terraform and Go/Python/Java SDKs, or a CLI. The platform uses asynchronous, stateless services, plugin-based extensibility, a workflow engine with rollback and recovery, resource tagging and queries, and automated deployment tooling. It also includes VMware migration features such as online migration, OVF import, and VMDK upload, and can be run from a qcow2 or OVA management-node image on VMware, VirtualBox, KVM, or a cloud host.
Searchable transcript of GitHub Trending Today #45: claudish-to-english, openanalytics, deepseek-harness, human-review, ha.mr — Github Awesome (14:55). Search for a phrase, then click its timestamp to jump straight to that moment in the video.
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00:00 Welcome back to GitHub awesome. This is GitHub trending today number 45. 35 trending open- source projects on GitHub right now. Let's get into it. Clottish to English rewrites Claude code responses into planer language without changing the agents or saved transcript. A display hook buffers the stream, sends the response to a local model by default, then appends or replaces what appears on screen.
00:29 An optional hook can create simplified markdown copies or overwrite selected files. Emil Kowalsski's skills gives coding agents concrete design judgment for interface motion instead of vague instructions like make it feel better. The collection can build animations with deliberate easing and duration, audit existing motion, find places where animation helps, and warn against unnecessary movement.
00:52 It also covers UI library selection, rapid prototypes, and Apple inspired web design guidance. Open analytics is a self-hostable web analytics stack that measures traffic and revenue without cookies, fingerprinting, or cross-sight profiles. Visitor identity uses a salted hash that rotates nightly. Raw IP addresses aren't stored, and privacy signals are honored before events are written.
01:17 Beyond page views, it handles funnels, web vitals, Stripe revenue attribution, exports, live presence, and an MCP server. Deepseek harness is Deepseek's own agent harness. And its organizing idea is that everything is a plug-in, including the parts most harnesses hardcode. It's built on Cordis, an existing composability framework with a paper behind it rather than a bespoke architecture.
01:42 Node and npx get you a local web UI on port 380. The readme is refreshingly bare. No feature list, no benchmark table, no claims. Human review opens an HTML or markdown file in your browser as an editable document. Fix a sentence yourself. Select a phrase and comment on it. Click an image and comment on that. Delete a section outright. Then hit send and your agent receives every edit and comment as one batch rather than a paragraph of instructions it has to parse.
02:15 Commandclick links to review several pages before sending. Runs locally. No account, no API key. Booktoskill converts a technical book or documentation folder into an agent skill that loads only the chapter needed for a question. A local extractor cleans the source. Then the generator builds a compact skill file, chapter notes, glossery, patterns, and quick reference rules.
02:37 It supports PDFs, EPUBs, office documents, and plain text with OCR required for scanned PDFs. ASD ST100 skill adapts aerospace simplified technical English for instructions that one AI agent must pass to another without clarification. It flags ambiguous words, passive voice, complex tenses, long noun clusters, hedging, and sentences that hide multiple actions, then rewrites them without dropping conditions or scope.
03:07 Strict mode fits tools and errors, while a looser mode handles technical pros. Anti-slop is an opinionated oxalant plugin that rejects TypeScript and JavaScript patterns which discard type evidence. It catches chained assertions, widened values later cast back, broad unknown contracts, unsafe dictionary types, reflective access, and undocumented assertions.
03:28 It also bans module mocking in favor of explicit dependency seams. PDFC CN gives React developers a Shad CN style component registry for generating PDFs without starting every document from raw layout primitives. You copy components into your codebase, customize themes and props, then compose tables, forms, charts, invoices, and reports with either tkumi or form.
03:52 The documentation renders live previews so changes are visible before export. Token tab reads local session logs from claude codeex then turns their recorded token counts into costs by model project day and activity. You can inspect tables, emit JSON or open a local hostonly dashboard that rereads logs on every request. Nothing needs an account or leaves your machine.
04:18 Prices come from a manually maintained table and activity labels use deterministic heruristics. Rockazo is an open- source take on a grost style personal bot. Each bot gets one thread, its own Linux computer with a browser, memory, and scheduled routines reachable from web, desktop or mobile. The pitch is that you bring the model through open router and choose where the computer runs.
04:42 Take control of the desktop to log into a site and the bot keeps the session after you let go. Legal skills is three agent skills for US utility patent work. a 316 item pre-filing audit, a simulated USPTO examination that runs until two independent examiners clear the same draft, and an adversarial design around test. The discipline is what stands out.
05:06 Models can't count, so dates, claim counts, and fees run in Python, and an item nobody checked reports as not reached rather than a quiet pass. HAMR shrinks links without storing them in a backend database. Instead, it compresses the URL itself, stripping common patterns, matching domains against Huffmancoded dictionaries, then packing the remainder into a compact character set.
05:30 For QR codes, it switches to QR's alpha numeric mode to reduce encoding overhead. Everything runs in the browser, so there are no accounts or link records. Lore turns the session files, codecs, and clawed code already leave on your machine into a searchable desktop archive. Readonly adapters connect each conversation to its repository and git history, then store the index in local SQLite without modifying agent files.
05:56 It even distinguishes commits recorded during a session from repository state observed later. Foreman is a template for an autonomous software factory. Label a GitHub issue and it runs the work through four agent stations. classify, plan, implement, review, and hands you a draft pull request to merge. The stations are isolated, and the point worth studying is the reviewer, which runs on a different model vendor and sees only the pushed branch, not the implementers's reasoning.
06:29 So, the review is actually independent. Cinematic zoom flies a camera from orbit to a chosen landmark, then exports the move as an MP4. Five shot presets animate distance, bearing, pitch, lens, and roll independently, while the app solves sunlight, and exposure for the location. Recording is frame locked, so stream geometry can settle before each frame.
06:51 You'll need a cesium or Google tile key, WebGL2, and webc hardware encoding. TTFX brings terminal text effects to Rust as one dependencyfree static binary. So terminal animations can live in shell pipelines without starting a Python interpreter. It preserves the original effects, options, cursor behavior, and even implementation quirks with CI comparing generated frame streams against a pinned upstream release.
07:19 Existing commands mostly need only the binary name changed. Bluey puts your iPhone's messages on a Linux desktop without a Mac sitting in a closet acting as a relay. That's the part that kills every other option. No Apple login, no cloud service, no subscription, just a paired phone over Bluetooth. It rides MAP, PB, and Aensis, the same profiles your car stereo uses.
07:45 So there's no hidden Apple protocol underneath. Apple Liquid Glass WebGL recreates translucent interface surfaces as a framework free WebGL renderer instead of a stack of CSS filters. Signed, distance shapes drive refraction, variable blur, chromatic dispersion, Fresnell highlights, shadows, and accurate hit testing with separate frosted and clear optical models.
08:07 It handles live canvas or video backdrops and respects reduced transparency preferences. Minia Music 3 generates 5inut songs from lyrics and a music description, not short clips you stitch together. An 8B global model tracks structure across the whole song, while a 0.6B local model fills in frame level acoustics. Synthesis fuses their continuous hidden states rather than decoding from discrete tokens, which is where vocal detail survives.
08:39 Agent safe pipeline keeps an AI agent from approving its own actions. The agent submits an immutable hashed intent. An independent desion policy layer allows, escalates, or blocks it. And risky requests can require approval tied to that exact intent. A sealed executive validates parameters and consumes a single-use grant before using downstream credentials.
09:03 OSSPR reviewer turns a GitHub pull request into a structured markdown review without cloning or executing its code. It fetches metadata and patches, batches large diffs deterministically, asks OpenAI for findings, then validates, dduplicates, and filters them by severity. Repository rules come from the trusted base branch, so a pull request can't rewrite its own review policy.
09:28 MCP memory gives coding agents persistent project memory stored as readable files rather than an opaque service. Each record becomes structured markdown with provenence, tags, verification status, and staleness metadata, while a local SQLite index handles search and key lookup. Namespaces, separate contexts, and checkpoint tools surface where the last session stopped.
09:51 PI Transcribe adds local voice dictation directly to the PI coding agent. Press its terminal shortcut, speak, and it captures microphone audio, runs a downloaded speech model through transcribe.cpp, CPP then inserts the text at your cursor. The settings command handles models, language, microphone selection, shortcuts, and Chinese script variants. Audio stays on your machine after the model download.
10:17 Anchored standard gives DeepSeek harness a two-phase tool strategy instead of choosing between a constrained agent and a useful one. The first request gets the minimal prompt with only shell and file reading, anchoring the model's initial trajectory. After the first durable tool call or reply, the full standard catalog appears and survives resumes. Pgbot diagnoses Postgra SQL from its own statistics without installing an agent or requesting right access.
10:45 Its static binary produces deterministic health findings, stores local baselines, and highlights what changed between runs from slower queries to newly unused indexes. JSON and MCP modes feed the same evidence to scripts or AI agents, while optional explanations send scrubbed context to Gemini. Multi-agent workbench runs clawed code, codec CLI, and other terminal agents side by side in one browser room, each bound to a YAML roll card.
11:14 Every message, decision, approval, and terminal bite lands in an appendon event log, and the interface is derived from it rather than stored. So a crashed session rebuilds from the log. The orchestrator blocks execution until you resolve a decision. Zasfort open sources the infrastructure engine behind ZStack Zosphere platform, giving you a management plane for virtual machines rather than another desktop hypervisor.
11:41 It coordinates hosts, clusters, images, virtual networks, storage, snapshots, permissions, alarms, and migration through asynchronous services and a plug-in architecture. A workflow engine tracks multi-step operations and rolls them back when failures occur. Colite turns a folder of overlapping photos into a full 3D reconstruction pipeline in C++ 17.
12:04 It can produce coal map compatible sparse models, dense colored point clouds, posson or delane meshes and textured OBJ files with optional CUDA acceleration for the expensive matching and stereo stages. Stage manifests let interrupted jobs resume. Ember builds color pallets for terminals, charts, heat maps, and interfaces that still separate cleanly after an aggressive warm screen filter collapses much of the color gamut.
12:31 It ships profiles for moderate and deep red shift exported for popular terminals plus CSS, JSON, Python, and Mattplot Lib. The deeper profiles deliberately use fewer distinct categories instead of faking variety. Termdom lets web developers build terminal interfaces with the same HTML, CSS, and DOM APIs they already know. It renders real DOM nodes into character cells, supports the box model, flexbox, tables, forms, scrolling, and input events.
13:02 then diffs each frame into an updates because mutations trigger redraws. Vanilla JavaScript and front-end frameworks can drive the UI naturally. Mole is a local deep research agent that treats evidence, spending, and private data as hard boundaries rather than polite suggestions. It decomposes a question, searches sources, verifies each extracted quote against the original page, checks contradictions, and returns citations.
13:28 Every model call is reserved against your chosen budget before it runs. Local data sets stay on your machine with only aggregates allowed out. Graph gives coding agents a persistent map of your repository so each new task doesn't begin with the same GP and open file archaeology. It builds a deterministic treeitter graph of symbols, imports, and call relationships.
13:53 then exposes targeted search and dependency tracing through its CLI or MCP server. An optional model pass adds plain English subsystem summaries. Lumabri distributes mixture of experts inference across ordinary machines instead of requiring every participant to hold the entire model. A client keeps dense weights locally then fetches missing model blocks or sends routed expert activations to peers caching verified data locally.
14:20 Content hashes, signatures, and optional encrypted transport help reject tampered bytes and protect traffic. MCP tune keeps large MCP cataloges out of an agent's context by turning tool access into ordinary CLI calls. Server schemas stay in a shared local configuration. Tools launch only when invoked and results can return in compact tune or reduced schema formats instead of verbose JSON. It also checks outputs for prompt injection and credential leaks.