1,038 tools and products — trending open source, and what gets used in AI and other work.
Claude Opus 4.5 is an AI foundation model developed by Anthropic for complex reasoning, software engineering, and agentic workflows. It is available through Anthropic's API and Claude applications.
Together AI (branded Together) operates an "AI native cloud": a platform for deploying, running, and scaling AI models and applications. The service provides infrastructure and tooling for developing and serving machine learning and large language models.
Vercel Connect is a Vercel service for connecting autonomous agents and applications on the Vercel platform to external systems, APIs and event sources while mediating and restricting data and event access. Developed by Vercel as part of its agentic infrastructure, it provides connectors and permission controls that determine what data and events an agent can read, transmit, or act on. The service is exposed via Vercel's agent framework and platform APIs and runs on Vercel's hosting infrastructure.
The Vercel AI SDK is an open-source software development kit from Vercel that provides components and utilities to integrate large language models and other AI features into web applications. It supports multiple model providers and both server- and client-side usage, and is maintained by Vercel on GitHub.
Fluree is an enterprise AI data platform that turns raw, structured, and unstructured data into trusted, queryable knowledge graphs. Its platform uses governed data models, taxonomies, golden records, entity resolution, semantic layers, and GraphRAG-powered retrieval to prepare enterprise data for conversational analytics, enterprise search, decision intelligence, and AI agents. Users can ask questions, create dashboards, build applications, and deploy governed agents over the resulting knowledge graph.
Freesolo is a full-stack platform for post-training of small models. The company offers a managed post-training service (mentioned in videos as 'Flash') that uses an agent-driven workflow combining supervised fine-tuning and reinforcement learning to produce specialized, downloadable small-model weights and to deploy models via an OpenAI-compatible API.
Prosed is a web service that assembles newsletters, posts, and other content into a publish-ready book. It converts a creator's existing content and ideas into a formatted manuscript for publishing.
PromptQL is a collaborative AI platform that provides shared AI threads and a self-organizing team knowledge base. It captures conversational context and generates suggested edits to interconnected wiki-style pages representing skills, knowledge, and a semantic layer.
AskCodi is an AI coding assistant and developer platform that provides multi-model AI chat, code generation, refactoring, and custom agent capabilities. It offers an OpenAI-compatible API, IDE integrations, and developer-focused workflows.
Moxie Docs is a hosted service that automatically generates and maintains documentation from GitHub repositories. It re-checks docs on every merge, opens cleanup pull requests when documentation drifts, and provides context for AI agents plus hosted public help centers.
Wispro is a desktop voice dictation assistant for Windows that converts natural speech into polished, formatted prose and pastes it into the active application, enabling instant insertion of dictated text.
Notte is a browser framework and platform for building and running AI agents, providing tools to simplify web-based LLM tasks, handle CAPTCHAs, and offer developer tooling for agent development and deployment.
OpenCode Superapp is a native workspace developed by OpenCode that integrates local, self-hosted, or cloud AI models with realtime voice interaction. It offers private dictation, Computer Use (control of local computer tasks), extensions, widgets, and secure remote access. The site describes the product as Codex-inspired.
Cosyra is a mobile coding terminal for iPhone and Android that provides cloud-hosted Ubuntu terminals to run developer tools and CLIs (examples listed include Claude Code and Codex CLI) without requiring users to manage their own VPS.
Megaphone is a podcast hosting, monetization and ad‑tech platform that provides episode publishing, analytics, dynamic ad insertion and an ad marketplace for publishers and advertisers. The platform was acquired by Spotify in 2020.
AgentLoop is a developer tool that runs unattended coding loops on a user's machine, executing plans authored in ChatGPT by launching Codex-based workers and independent critic processes. It automates iterative code generation and evaluation until configured quality standards are met.
Blaxel is an infrastructure platform for autonomous AI agents that provides isolated microVMs (which boot in milliseconds and resume in ~25ms), persistent shared memory, and programmable networking to run, connect, and operate agents at scale. It offers a distributed shared-storage feature (presented in videos as "Agent Drive") that can be mounted as a POSIX-style drive so agents in separate sandboxes can share files, cache dependencies, exchange context/memory, and coordinate parallel work in real time.
Pulse is a team knowledge-management product that records a company's decisions, commitments, and lessons and answers questions in plain English. It is permission-aware (showing content only to those with access) and targets teams of roughly 5–500 people; the site lists the product as in early access.
Last 30 Days is an open-source AI-agent research skill developed by mvanhorn. It searches configured sources in parallel—including Reddit, X, YouTube transcripts, TikTok, Hacker News, Polymarket, GitHub, arXiv, Techmeme, and other web and social platforms—then ranks material using signals such as upvotes, likes, views, comments, engagement, and real-money prediction-market odds. An AI-agent judge synthesizes the results into a cited brief focused on recent information, with source-specific outputs such as quotable transcript passages, Reddit comment scores, GitHub activity, and Polymarket probabilities. Reddit, Hacker News, Polymarket, and GitHub work without additional configuration. A setup wizard can enable further sources using user-provided API keys, browser sessions, or locally available source connectors. The skill can be installed through the Claude Code marketplace or with the Skills CLI for Claude Code, Codex, Cursor, Copilot, Gemini CLI, and other agent-skill hosts.
An open-source Python package of shared utilities for Unsloth, supporting large-language-model training and fine-tuning workflows such as full fine-tuning, LoRA, quantized training, and reinforcement learning. The associated Unsloth project provides beginner-oriented notebooks, supports models including gpt-oss, Gemma, Qwen, Llama, and Mistral, and can export fine-tuned models to GGUF, Ollama, vLLM, or Hugging Face.
Hubble.md is a free, open-source Markdown and HTML note-taking app for people and AI agents. It provides a Notion- or Apple Notes-style editor with Markdown shortcuts, slash commands, and frontmatter properties, while allowing an agent to work directly with the notes folder; edits made by an agent are live-reloaded in Hubble. Beyond Markdown notes, Hubble can display HTML-based apps built from a notes folder, including views such as tables, bookshelves, and maps. It is distributed as an Electron desktop app for macOS, Windows, and Linux, and the repository also contains a web app, Markdown editor packages, an HTML-app runtime, a filesystem sync engine, and a `hubble` command-line interface.
DwarfStar is a self-contained, model-specific native inference engine for running DeepSeek V4 Flash, GLM 5.2, and, on high-memory systems, DeepSeek V4 PRO locally. It combines model loading, prompt rendering, tool calls, persistent KV state, an HTTP server, and a coding agent rather than serving as a general GGUF runner. The engine supports Metal on Macs, CUDA including multi-GPU systems, and ROCm on Strix Halo hardware; it also provides SSD streaming for machines with insufficient RAM, distributed tensor and pipeline parallelism, and server-side micro-batching for multi-user inference. The repository includes tooling and data for GGUF, imatrix, quality, and speed testing, and acknowledges code and design contributions from llama.cpp and GGML.
world-model-optimizer converts OpenTelemetry traces from agent workflows into a routing policy. It scores models on held-out tasks, selects a model for each request, and provides world models for testing changes to prompts, tools, and runtime code.
Qwen Scribe is a private, local transcription and system-wide dictation application for Apple Silicon Macs. It runs Qwen3-ASR through mlx-qwen3-asr on the Mac's Metal GPU, keeping audio and transcripts on the computer without an account, API key, or cloud service. Users can drag audio or video into a local web interface, transcribe with automatic or forced language selection, vocabulary hints, word timestamps, and SRT export, and search or export local transcript history. A menu-bar helper provides push-to-talk dictation in text fields, displaying listening and transcription states in a non-focus-stealing HUD before pasting the result at the cursor. The project requires macOS 14 or newer, Apple Silicon, Python 3.12 or newer, and ffmpeg for non-WAV audio and video. It offers Qwen3-ASR 1.7B and 0.6B model options; model weights are downloaded separately and require roughly 3.4 GB or 1.2 GB of unified memory respectively, in addition to application overhead. It is distributed as a downloadable beta Mac app or can be built from source; the repository describes the project as version 0.2.1-beta.1.
CodeJury is a terminal-first, knowledge-grounded multi-agent software delivery pipeline for scoping requirements, implementing changes, running tests, and gating pull requests. It divides delivery into six terminal-driven stages and uses isolated development branches, human approval gates, deterministic QA, and ensemble code review. The system indexes a repository into a persistent code graph and uses semantic search to retrieve relevant code during later work. Its review stage sends the same change to independent models from different providers; both must approve it for the change to pass, while a rejection returns the reason to the developer. A configurable panel can use up to six specialist reviewers and a foreperson to reconcile their findings. The project is distributed as a Python package installable with pip and documents support for macOS, Linux, and Windows. Its repository describes a one-command run and operation without an API key.
netherite is a from-scratch C and CUDA reimplementation of Minecraft 1.11.2, checked against the original Java game. It provides a batched CUDA reinforcement-learning environment in which multiple worlds step in lockstep on one GPU, with semantic-camera observations; the repository reports a recorded batch reaching 7,200 live worlds. Linux x86_64 supports the full build, CUDA training, and Java-oracle workflow, while macOS provides CPU and Metal game backends without CUDA support. The project does not ship Mojang content and requires a legal Minecraft copy and JDK 8.
TurboVLA is a compact vision-language-action model and official implementation for robotic manipulation, developed by researchers at Huazhong University of Science and Technology and Huawei Technologies. Instead of routing visual input through a large language model, it independently encodes visual observations and language instructions, exchanges information through lightweight bidirectional vision-language interaction, and uses a compact decoder to predict continuous action chunks. The repository includes training and evaluation code for LIBERO and RoboTwin, with model checkpoints released separately. The project reports 32 Hz inference on an RTX 4090 with less than 1 GB of VRAM; on LIBERO, it reports a 97.7% average success rate, 31.2 ms inference latency, and 0.2 billion parameters.
ctrlb-decompose is a log-processing tool from ctrlb that converts large, repetitive log files into compact, LLM-ready patterns with typed variables, quantiles, anomaly information, severity scores, and example values. Its single-pass pipeline extracts and normalizes timestamps, applies CLP encoding to replace integers, floats, IP addresses, and strings with compact placeholders, clusters log types with the tree-based Drain3 algorithm, and merges wildcard positions with decoded values for semantic typing such as IPv4, UUID, duration, enum, and integer. It accumulates DDSketch quantiles, HyperLogLog cardinality estimates, top-k values, temporal buckets, and reservoir-sampled lines, and provides human-readable and LLM-optimization output modes. The project runs as a CLI, a Rust library, or client-side WebAssembly in the browser; its README states that logs remain on the local machine.
TrueDeck is a terminal-first multi-agent coding workbench for running several coding agents on the same repository in separate live terminal panes. It supports agents including Grok, Codex, Cursor, Claude, and Gemini while retaining their native command-line interfaces rather than presenting them in a chat webview. It provides split panes, tabs, focus control, and workspace restoration, with repository-specific and global memory plus MCP and project-context synchronization handled in the background. Installers and portable builds are distributed through the project's GitHub Releases, and the repository is licensed under the MIT license.
Cynative is an open-source framework and CLI for building security agents with live, read-only access to code, cloud, and runtime infrastructure. It reasons across GitHub, GitLab, AWS, GCP, Azure, and Kubernetes as one system, using frontier models to investigate questions such as exposed resources, privilege escalation paths, infrastructure drift, and leaked credentials. For each investigation, Cynative generates and runs code in an ephemeral sandbox, queries APIs in parallel, cross-checks findings against live evidence, and traces findings to their origins. Its action gate resolves each call to the required IAM actions and applies a read-only policy before attaching credentials; the video also describes an auditable JSONL log of tool calls. Agents are defined as Markdown files containing a description and prompt, and can run interactively, non-interactively, or with piped findings. The project is distributed as a single open-source binary and supports configuring the model provider and model through environment variables.
optim-plans is a human-in-the-loop planning plugin for Claude and Codex. It turns repository-change requests into traceable Markdown plans, asks planning questions one at a time, records decisions, applies reviewer or criticizer refinement passes, and requires explicit scope confirmation before writing versioned plan artifacts. Its five public skills cover small, broad, and high-risk planning, diagnosis before planning, and reference analysis before planning. After approval, it hands the accepted plan back to the current agent session for normal implementation. Version 0.3.0 keeps machine state in the Git common directory and public artifacts in repository documentation, but does not include a separate execution engine, manifest, delegated implementation role, verification role, retry loop, or worktree execution gate.
hwatu is a Linux visual-verification browser and harness for AI coding agents, implemented as a WebKit daemon. It performs one-call page checks, returns pixel-difference scores and heat maps, exposes animation timing numerically, and runs headless windows that can be handed off to a live human-controlled window. It connects to coding agents through MCP, short CLI commands, or newline-delimited JSON over a Unix socket, and is designed for tiling window managers including Hyprland, sway, niri, and i3. The project distributes a static binary that uses the system's WebKitGTK 6.0 and can also be built from source with Cargo.
Skill Recorder is a Microsoft desktop application that records a work session—including screen activity, application and window switches, browser pages, clipboard previews, and optional spoken narration—and uses the GitHub Copilot CLI to reconstruct the session as an overall intent and ordered steps. Users can review and edit the analysis, then generate either a reusable SKILL.md procedure for an AI agent or an Automation that runs on a schedule or trigger. Generated procedures prefer an agent’s native tools, such as the gh CLI or web_fetch, over replaying interface clicks and can generalize from the recorded example. Recording, frame extraction, local storage, and optional narration transcription occur on the computer; choosing Analyze sends the event timeline, extracted screen images, and narration text to GitHub’s cloud for Copilot processing. Narration is transcribed on-device using a Whisper model. The application is distributed as a source release that downloads a pinned Node.js runtime and builds the release locally without a global installation. macOS is the primary target, with Windows 11 support for x64 and ARM64 and Ubuntu installation instructions. A GitHub account with Copilot access is required.
A local command-line reference and checker for common signs of machine-written prose. It provides before-and-after examples, draft scanning, searchable patterns, and an editing guide.
Ratchet is a code-auditing tool for examining coding-agent edits. It checks changes for new dependencies, duplicate helper code, thin wrappers, and reimplemented standard-library features, while tracking file, dependency, and line-count budgets in an auditable ledger.
Graybox is a local-first long-term memory and personal knowledge-management tool that stores notes as Markdown files with YAML frontmatter. It preserves an immutable inbox of raw captures while an LLM extracts people, projects, tasks, actions, meetings, events, decisions, and other entities into typed, cross-linked pages with backlinks and source citations. Its question-answering function retrieves evidence from captured notes and linked pages and is designed to refuse unsupported answers. Graybox uses keyword search without requiring a vector database, with optional embeddings, and uses LiteLLM to connect to hosted or self-hosted language models. It is distributed as an open-source command-line and terminal user-interface application, with a PyPI package and a GitHub repository.
NIGHTRUN is a local LLM runtime written in Rust that boots directly from a USB stick on ordinary x86_64 PCs or from an SD card on a Raspberry Pi 5, without a conventional operating system underneath. Its UEFI application loads a quantized model into RAM, renders a chat terminal through the framebuffer, and runs inference locally and offline without a network stack, host process, or kernel. The installer builds and flashes a bootable image, guides model selection and verified downloads, and supports GGUF inspection and conversion into NIGHTRUN's .nrm container. During boot, the model is streamed into RAM with checksummed sections; storage is then sealed so generation cannot read from disk. The runtime includes custom framebuffer rendering, USB keyboard input, multi-core inference, serial diagnostics, hand-written quantized kernels for x86_64 and Raspberry Pi architectures, and Q8_0, Q4_K, and Q6_K weight formats. It requires Linux, Rust, and approximately 6 GB of free disk space for the model and image.
Cata-centavo is a self-hosted MCP server that gives compatible AI agents read-only access to a user's Brazilian Open Finance bank, credit-card, and investment accounts through Pluggy. It runs locally over stdio, reads existing Pluggy connections identified by environment variables, and supports queries about transactions, spending categories, account balances, current card statements, unfamiliar charges, and investments. It has no hosted or multi-user service. The package runs with Node.js 22.13 or newer and can be launched with npx. Its main commands include the MCP server itself, `init` for checking credentials and configured connections, and `doctor` for diagnosing connection status, consent, local cache, and learned categorization data. Provider transaction categories are copied into a persistent local `data.db`; the server also learns merchant-category associations from the user's transactions, and manually corrected or newly assigned categories are retained locally and applied retroactively.
Scopey is a lightweight Rust command-line tool for keeping Claude Code, Codex, Grok, Pi, and OpenCode coding-agent sessions aligned with the user's current intent. It turns prompts into a current scope, evaluates agent tool activity against that scope, and surfaces sessions that need attention when work drifts. It can inject a correction into an active session and send notifications, while ignoring subagent sessions by default. Scopey is pre-1.0 software and is distributed as a Homebrew package or Rust source installation.
Paritok-4B-v1 is an open-source 4B model for compressing coding-agent context, including tool outputs, file reads, and older conversation history. Used through a local proxy, it replaces compressed blocks with reference IDs so an agent can request the exact original content when needed. The repository says the model was trained on 45K teacher-distilled agent trajectories using a Qwen3-4B backbone.
Kiro Crew is an open-source persistent workspace for development work, developed by Kiro. It runs locally or remotely on the user's hardware and preserves ongoing work beyond a single session. Users can access it through a desktop app, web dashboard, CLI, Slack, or Discord; multi-step tasks can run unattended, recurring jobs follow schedules, and heartbeats monitor systems until attention is needed. Kiro Crew Apps combine purpose-built interfaces with agents, skills, schedules, integrations, and backend services. The project can run through a desktop application, a local or remote installation, a Docker image, or a source build, with kiro-cli underneath.
MiniMax H3 is MiniMax's general-purpose omnimodal generative system for understanding text, images, video, and audio and generating video with native 32 kHz stereo audio. It supports 4–15-second outputs at 24 FPS across a wide range of aspect ratios; the shorter side is 768 pixels by default, with 2K generation available through H3-Regenerate-2K. Its H3-Base-FL2VA variant supports text-to-video, first-frame-to-video, last-frame-to-video, and first-and-last-frame-to-video modes, while H3-Base-Ref2VA accepts mixed image, video, and audio references. The repository also provides a prompt-writing skill and style-specific video-generation skills for the MiniMax Hub canvas workflow. H3 is available through MiniMax's global and China APIs, web apps, and desktop apps; the video describes its weights as open and runnable at 768p.
auteur is an agent skill for directing landing-page development like a film. It requires an art-direction commit sheet before markup, then runs a pipeline of asset generation, site construction, and quality gates. The skill includes reference recipes and runnable scripts for generating assets with local CLIs, building WebGL or scroll-driven scenes, and checking styling, accessibility, motion, browser errors, and anti-slop rules with an executable linter and real-motion check. It is distributed as a dependency-free SKILL.md package with installation commands for Claude Code and other agent environments.
Codex Router is an independent community project that routes external AI models into the Codex app and CLI, adding providers such as Kimi, DeepSeek, Anthropic, xAI, and GitHub Copilot alongside native models. It provides guided provider authentication, keeps credentials on the local computer, and supports safe migration and rollback of recognized older setups. The project includes a command-line installer and setup flow, an Electron Control Center, a tray or menu-bar application, and a macOS desktop widget; one installation can also serve DeepSeek Harness and Gemini CLI. It supports macOS, Linux, and Windows, and is not affiliated with OpenAI or the other referenced model and platform providers.
Travel Photo Abstraction is a source-available Codex skill that analyzes travel and everyday photographs as visual systems and converts their distinctive shapes, counts, positions, proportions, colors, directions, depth, and spatial rhythm into sparse editorial abstractions. It inventories observable evidence, maps retained source facts to minimal marks, and preserves relationships such as asymmetry, occlusion, count groups, negative space, horizons, focal coordinates, and directional lines. The skill generates a clean abstract panel with Codex's built-in image-generation tool, then uses a fail-closed finalizer to compose it beside the untouched original photograph and verify the result at the pixel level. The repository includes a bundled reference library, showcase outputs, installation and validation scripts, and requires Codex with skill support, image generation, Python with Pillow for deterministic composition and checks, and a photograph the user has permission to use.
Cambium is a governance standard and reference toolset for knowledge repositories maintained by LLM agents. It governs repository work rather than supplying a knowledge corpus, performing retrieval-augmented generation, scheduling agents, or deciding domain meaning. Its governance model combines a kernel of cross-domain rules and invariants, one adopter-selected profile, and adopter-owned runtime state containing task state, queues, plans, deltas, receipts, and recovery evidence. The toolset uses deterministic checks, controlled writers, schemas, and generated projections to manage task and batch transitions, amendments, standards adoption, interruption recovery, and work closure. It provides a profile template and scaffolder, a machine-readable adoption interview, an onboarding status view, persistent coverage and progress state, append-only receipts, terminal-proof bindings, and validation for global maps, capability matrices, and gap registers.
Codex iOS Assistant is an open-source system for controlling and inspecting an iPhone from Codex running on a Mac. Its `iphone` CLI sends private commands through iMessage to an iOS Shortcut; the Shortcut performs native iOS actions and returns device context through an authenticated HTTPS response routed via Cloudflare Tunnel to a receiver on the Mac. A per-user macOS LaunchAgent runs the Messages sender outside the Codex sandbox over a Unix socket. The system can read visible screen text, save screenshots, access or replace the clipboard, manage alarms, open specified apps, control timers, the flashlight, and Low Power Mode, place calls, and read Mac Contacts and the Mac Messages database. Message composition creates a draft for review; the CLI does not send ordinary messages, make purchases, install apps, order food, or request rides. It requires macOS 14 or newer, Python 3.11 or newer, Messages, Xcode Command Line Tools, an iPhone reachable at a configured iMessage address, iCloud sync for Shortcuts, and a Cloudflare-managed domain. Installation uses the repository scripts and creates an iOS Shortcut containing 95 native Shortcuts actions, with a manually configured iPhone message automation.
KADATH (Kernel for Agentic Darwinian Adaptation, Tooling, and Heredity) is an evolutionary multi-agent runtime developed by i3t4an. It evolves populations of complete agents across reproducible epochs: an Architect turns a goal into a measurable benchmark, organisms attempt the goal, an independent Grader scores their evidence, and selection, mutation, reproduction, and replacement produce later generations. Each evolvable genome includes an agent's system prompt, Python implementation, tools, dependency declarations, and supporting files, rather than only a prompt or response. The kernel keeps the objective, benchmark, scoring, scheduler, lineage, database, deadlines, containers, and isolation rules outside the genome; agents can change only during the post-grade mutation phase. The interactive runtime asks for an OpenAI API key and model ID, then collects the goal, epoch duration, population size, and epoch count. Its local runtime prepares Docker-based PostgreSQL, MinIO, LiteLLM, and SearXNG services.
soundshuman is an open-source writing-analysis and repository-auditing toolkit for identifying patterns associated with AI-generated prose. It combines a humanizer skill, a machine-readable rule pack, and a zero-dependency CLI: the skill uses a 41-pattern catalog, statistical signals, voice calibration from writing samples, and a draft–audit–final workflow; the rule pack stores vocabulary tiers, phrase fixes, and weighted regular-expression detectors in JSON; and the CLI scores text from 0 to 100, explains findings with line numbers and triggered rules, applies selected mechanical fixes, scans repositories, and can gate CI. The project states that its goal is inspectable editing rather than defeating AI detectors, with rewrites delivered as reviewable Git diffs and a no-invented-facts rule. The CLI runs on Node 18 or later without dependencies and supports pasted text, files, repository audits, and directory scans. The skill is distributed as plain Markdown for agent harnesses and as a Claude Code plugin; the repository also includes reference materials, a pre-commit hook, CI integration, and installation instructions. It is MIT licensed, with upstream copyrights preserved in the license.
Vibe Watch is a wearable M5Stack StopWatch controller for monitoring and operating multiple AI coding-agent sessions. Its ESP32-S3 drives a round touchscreen that shows six agent states, while physical controls provide selection, approve/reject actions, FAST actions, Plan mode, assistant access, and hold-to-talk voice input. The device communicates over Bluetooth Low Energy HID and combines visual state indicators with configurable sound and haptic feedback.
DeepSeek and Destroy (DSD) is a long-horizon coding-agent skill for executing large implementation plans through persistent worker loops. A premium parent agent handles architecture, decomposition, decisions, and phase gates, while fresh lower-cost specialist workers implement, review, repair, and recheck repository-scale changes. The default worker backend is external OpenCode using opencode-go/deepseek-v4-flash, and the skill is designed for Codex, Claude Code, OpenCode, Kilo Code, and comparable coding harnesses. Each task is rendered into an immutable JSON contract and managed through attempt directories containing prompts, reports, logs, state, and scope baselines. Its normal loop uses an Implementer, a fresh independent Reviewer, and—when needed—a fresh Fixer followed by another Reviewer. Python-based gates check objective integrity such as hashes, lifecycle, and exact source movement; an optional read-only Evidence Clerk interprets already-produced evidence for the parent but cannot invent proof, rerun verification, repair code, waive integrity failures, approve work, or recurse into another Clerk. Documentation is split between always-relevant parent rules and cold-loaded workspace, harness, transport, compaction, prompt, and specialist-role materials.
wallfacer is a terminal session manager for AI coding agents, developed by pradipta. It indexes sessions from Claude Code, Cursor CLI, Kiro CLI, and Codex without modifying their transcript files, storing titles, tags, and projects separately in a local SQLite database. A full-screen terminal user interface and command-line subcommands provide session browsing, renaming, tagging, project grouping, searching across titles, prompts, directories, projects, and tags, launching or resuming sessions, and safe deletion with a trash step before permanent purge. It is distributed as a Go binary, with installation through Homebrew, Go, or pre-built releases, and supports JSON output for scripts.
NeuroArxiv is an agent skill that makes Claude Code or Codex CLI check arXiv prior art before proposing non-trivial architectures, algorithms, or systems techniques. It maps a problem to relevant arXiv categories, fetches papers over HTTP, reads sources independently to avoid cross-source anchoring, and converges them into a cited recommendation with a first implementation step and documented limitations or prior failures. The repository describes evaluations across physics, applied mathematics, quantitative biology, machine learning, and statistics, including checks for weaknesses in cited papers. It is distributed as a bundled skill that can be installed with npx without cloning or adding a build step.
Waku is a native desktop app for working with local coding agents. Built in Rust with GPUI, it keeps projects, sessions, transcripts, and application state on the user's machine, while detecting supported agent CLIs and using each provider's native structured protocol and session continuity. Its interface supports independent project sessions, model and reasoning settings, queued or directed follow-up messages, and Git-backed task rewind with conversation-aware checkpoints. The desktop app communicates with a standalone waku-daemon over an authenticated, versioned WebSocket protocol. The daemon manages task data in SQLite, attachments, provider-native session forks, workspace files, and Git operations; a browser client uses the same generated protocol. Waku is distributed for macOS, Linux, and Windows, with no Waku account or remote service required.
loomfeed is a self-hosted, open-source Reddit alternative for AI agents and humans, developed as a community platform with communities, posts, threaded comments, voting, and agent debates. AI agents have identities, API keys, trust scores, and reputations, and can publish, reply, and vote through REST, MCP, or the A2A protocol. The platform records provenance for agent-generated content, including sources, confidence scores, model information, and generation methods. A typed citation graph relates claims as supporting, contradicting, extending, or quoting one another. Epistemic status labels such as Hypothesis, Supported, Contested, Refuted, and Consensus, along with source checking and research-depth scoring, are used to assess content; only human participants can grant an agent post the Human Seal of Approval. It also provides structured head-to-head agent debates and falsifiable predictions with resolve-by times and Brier-scored accuracy records. The repository is MIT-licensed and supports self-hosting with Docker Compose. Its documented stack includes a Go backend, Next.js frontend, PostgreSQL with pgvector, Redis, an API, an MCP gateway, and a web frontend; optional LLM providers, OAuth, analytics, and email services remain disabled until configured.
Generative Loaders is an accessible React component library for loading states in generative interfaces. It provides TextLoader for responses that grow as streamed tokens or chunks arrive, InlineLoader for buttons and status rows, and ImageLoader for image-generation placeholders. TextLoader keeps the existing text prefix stable and animates only newly appended content. The components support named animation variants, configurable speed, color, size, pause state, CSS classes, and accessible labels; the package includes a stylesheet and supports React 18 and newer.
Roomform is an open-source pipeline that converts registered indoor point-cloud scans—including laser scans, ARKit exports, and RGB-D reconstructions—into structured, editable scenes. It infers walls and openings, classifies oriented object boxes, associates segmented points with objects, and produces evidence-gated object meshes; the pipeline writes scene JSON, GLB output, per-object meshes, and intermediate grids while streaming NDJSON progress, including a boundary-only partial scene during processing. The package provides point-cloud processing and object-lifting backends, including Point Transformer V3 with local clustering, SpatialLM, and UniDet3D, with optional remote reconstruction through SAM 3D Objects via fal.ai. It includes a read-only debug viewer and an editor for moving objects and saving scenes back to the native format. The code is licensed under Apache 2.0; trained weights and synthetic data, when published, are listed as CC BY-NC 4.0.
Sprite Studio is a local-first, open-source desktop AI workbench for creating, animating, testing, organizing, and exporting 2D game art. It combines prompt- and reference-based generation with pixel-scale review, sprite viewing, animation planning, loop testing, rigging, deterministic rendering, and PNG sprite-sheet export with metadata. For animation, the AI plans a complete motion sequence and generates frames sequentially using the source asset's identity and neighboring accepted frames. Its native Rust rig engine uses named joint, anchor, contact, and pivot points plus capsule bones; it assigns opaque pixels to bones, supports planted contacts through analytic two-bone inverse kinematics, and renders frames through bone transforms and nearest-neighbor inverse mapping without image generation. The resulting frames flow into asset organization, quality analysis, the playground, and exports. The application runs on macOS, Windows, and Linux and is built with Tauri, Svelte, Rust, SQLite, and an installed Codex CLI. It is designed for local-first use and does not target Android or iOS.
Scene Card Studio is an AI visual director and visual-narrative engine for turning personal photographs into structured, editable narratives rather than applying a simple style transfer. It separates observable photo evidence from narrative interpretation and direction, then processes photos through Scene Cards, a Narrative System, a Prompt Compiler, image generation, aesthetic review, and retry or acceptance. The output includes directed images, deterministic layouts, versioned generation prompts, and hash-linked review records. Its Narrative Systems define story structure separately from replaceable Expression Profiles that control surface language.
pi-peer is a pi extension for discovering and messaging coding-agent sessions. It provides `list_peers` to show sessions, working directories, and statuses, and `message_peer` to send short plain-text messages to a named session. Messages carry no conversation history or files and arrive marked as peer text with no authority: they cannot approve actions, change configuration, or execute slash commands. Local messages use disk-backed mailboxes that survive restarts and queue mail for inactive sessions; sessions can also communicate across team machines through a shared Redis server. The extension supports inbound-message policies and stores local peer data with restricted filesystem permissions.