2,433 tools and products — trending open source, and what gets used in AI and other work.
Hydra is a speech-to-speech AI model from Smallest AI for asynchronous speech input and output, with support for text and tool calls.
Deepgram is a speech AI platform providing Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Its services support real-time transcription and voice applications, including the speech transcription component in deployment architectures.
Kick is a livestreaming platform where creators broadcast video streams and interact with audiences in real time. It supports streams in which creators watch or discuss films with viewers, subject to applicable copyright and platform rules.
Gradient is a framework for training research agents with reinforcement learning. It exposes the agents’ searches, citations, tool calls, and evaluation results.
Ambient Context is a macOS menu bar app that records the text of the focused window for use by an LLM or other agent. Through the macOS accessibility tree, it reads window text every few seconds and appends deduplicated blocks to one plain Markdown file per day, including the document path or URL and an AGENTS.md file describing the format. It does not use screenshots or video and, in the current build, makes no network calls, accounts, servers, telemetry, or bundled model; password fields, password-manager and private-browsing windows are excluded, and credentials, API keys, and card-shaped numbers are scrubbed before writing. The project is early and unsigned, requires macOS 14 or later on Apple Silicon, and currently must be built from source with Node, Rust, and Xcode Command Line Tools.
System Atlas is an agent skill from Inkboard that turns architecture discussions into an explorable isometric atlas. A single data file serves as the source for an interactive map and a generated SYSTEM.md text view, keeping structures, execution flows, design decisions, and open questions synchronized. The map supports hoverable structures, pinned views, drill-down into execution steps, pan and zoom, progressive-disclosure chapters, and inspectable data packets showing routes and representative JSON payloads. The generated SYSTEM.md includes a decisions table with ADR links, structure descriptions and steps, flow tables, and an index of questions tracked by stable IDs and states such as open, resolved, or routed. The skill can be installed with `npx skills add inkboard/system-atlas`. It generates a self-contained HTML map with no build step or runtime dependencies.
kern is a fast, rootless OCI container runtime, sandbox, and virtual resource runtime distributed as a small static binary without a daemon. It creates kernel-enforced containers from OCI images, using user, PID, mount, network, UTS, and IPC namespaces, overlay or read-only roots, a deny-by-default seccomp allowlist, and cgroup v2 limits; the `--security-profile untrusted` option applies the documented hardened bundle. It can also attach named CPU, memory, disk, and device profiles from `kern.toml` to containers, or apply resource caps directly to host processes with optional Landlock write confinement. The project supports container operations, Dockerfile builds, image pull/push and save/load, stack execution through its own or Docker Compose format, and includes Python and Node SDKs plus an MCP server for agents. Its Rust dependency tree uses libc, while image pulling delegates to system `curl` and `tar`; it runs natively on Linux, requires WSL2 on Windows, and needs a Linux virtual machine on macOS.
Eidos is a private, self-hosted file-search system that lets users search across computers, servers, virtual machines, archives, and network storage without first remembering where a file is located. The project is Windows-first and catalogs NTFS and SMB sources, indexing file names and contents while retaining stale results when sources go offline. Its intended design connects file identity, location, freshness, related copies, and surrounding context without moving files into a vendor cloud or separate repository. The README describes the project as under active development: several capabilities remain planned, APIs, schemas, and query syntax may change, and no packaged release is available yet.
agenttrail is a local, open-source observability layer for AI coding agents. It watches plans, tool calls, file changes, and progress from Claude Code, OpenAI Codex, Cursor, or other agents that edit files, then presents them as a live project map with repository components, dependency arrows, progress, and working, blocked, or completed states. It compares declared agent intent with observed filesystem activity, including renewed changes to supposedly finished work, and displays the current run, task list, streaming tool activity, elapsed time, recent calls, session plans, and a live repository tree. The tool runs locally through commands such as `npx agenttrail`, with no account, global installation, or telemetry. `npx agenttrail init` adds the agenttrail convention to CLAUDE.md and AGENTS.md, creates a starter PLAN.md, and installs additive local Claude Code hooks; the resulting plan and file activity are used to generate a map of roughly 5–9 repository components with dependencies and verifiable statuses. It supports one daemon per repository, a shared board tab switcher, restart via `npx agenttrail up`, and login autostart through `npx agenttrail autostart`.
backpass is a local-first command-line tool that analyzes coding-agent session transcripts and proposes evidence-backed edits to an agent memory file such as AGENTS.md or CLAUDE.md, plus project skills. It treats the memory file as weights, agent sessions as forward passes, and their on-disk transcripts as a loss signal, then collects sessions for the current repository, distills failures, aggregates repeated instruction changes, and produces diffs and skill extractions. The tool reads transcript stores from seven agent harnesses directly from disk, requires evidence from at least two independent sessions for a new instruction, and limits each run to at most five edits. Proposed changes include verbatim session quotes; analysis never writes files, while `backpass apply` presents each edit for human acceptance or rejection before applying it. It is distributed through npm or npx, requires Node.js 22.5 or later and `acpx`, uses no API keys of its own, and sends no transcripts to a separate service; obvious secrets are redacted before model calls through an already authenticated harness.
rataflow is a Rust library for building interactive node-based user interfaces in the terminal, from static diagrams to editable graph views. It is built on ratatui and inspired by xyflow (React Flow). The library provides generic nodes and edges, parent-child hierarchies, configurable interaction flags, dragging, resizing, connection and reconnection, selection, pan and zoom, keyboard navigation, context-menu events, connection validation, and automatic edge-of-canvas panning. It renders custom node and edge content, includes built-in edge types and companion widgets such as controls, a minimap, and a background, and supports runtime palettes and layered Sugiyama layout. Graph snapshots can be serialized with serde, while handlers return semantic FlowEvent values without hidden graph mutations. Input backends include crossterm, termion, termwiz, and WebAssembly through ratzilla; the project also provides browser examples compiled to WASM.
Sentio is an email inbox API and multi-tenant mail server for AI agents, developed by Truespar. It gives each agent a real email address, authenticates and scans inbound SMTP mail, scores and routes it, then delivers the message as a structured webhook; agents send threaded replies through a REST API, which signs outbound mail with DKIM, queues it, and delivers it over SMTP. Tenant isolation covers domains, mailboxes, API keys, rate limits, suppression lists, sending reputation, and spam profiles. The Rust service implements inbound and outbound mail infrastructure including DKIM, SPF, DMARC, ARC, MTA-STS, DANE, and three-tier anti-spam, and includes an MCP server for exposing email as native agent tools. The repository provides Docker deployment with PostgreSQL, Redis, NATS/JetStream, MinIO, ClamAV, and rspamd, plus an API reference and testing UI.
Vault Graph is an Obsidian visualization plugin and standalone exporter that represents an entire vault as an interactive graph. It uses a deterministic layout: each top-level folder occupies a wedge sized by its share of the vault, while notes fill concentric rings ordered by connectivity, placing highly connected notes near the center and leaves near the rim. The same layout is produced for the same vault rather than using a force-directed simulation. The graph supports folder filtering and repacking, note-link inspection on hover, note search, a date timeline for viewing vault growth, theme switching, heatmap and camera controls, note reading, and folder colors. The plugin reads Markdown files and link and frontmatter data through Obsidian's metadata cache, and reads note bodies only to count words. It writes only its own settings data, makes no network requests, and requires no account. The exporter produces a single self-contained HTML file that can be viewed offline without a server or network connection.
omarchy-pods is an Omarchy bar panel and bundled Linux daemon for AirPods. The daemon handles Apple’s AirPods protocol and publishes device state, while the panel displays per-pod and case battery levels, charging and in-ear status, supported listening modes, adaptive noise level, Conversation Awareness, One-Bud ANC, ear detection, and case-lid state when available. It selects the displayed controls from the capabilities reported by the connected device, supports AirPods earbuds and AirPods Max, and omits functions handled elsewhere in Omarchy, such as volume, audio-output selection, Bluetooth connection management, and input controls.
OwnMem is a repository-owned memory system for AI coding agents. It stores project knowledge as reviewable Markdown in a .ownmem/ directory, shared through Git so it can be cloned, reviewed, and rolled back across Claude Code, Codex, Cursor, Gemini CLI, Grok CLI, and other hosts. Its local recall pipeline compiles schema, graph, lifecycle, and evidence checks into an immutable, content-addressed snapshot. Five deterministic candidate lanes—exact matching, BM25F, n-gram, fuzzy, and graph retrieval—are fused locally; embeddings are optional and remain disabled by default until local evaluation supports them. Four delivery gates assess relevance, epistemic validity, task applicability, and action risk, allowing normal delivery, advisory output, quarantine, or abstention. OwnMem separates repository memory from trust receipts and uses quotas, duplicate gates, lifecycle rules, audits, and reversible changes to bound unattended evolution. Its rules allow automation to promote only replay-proven, quota-bounded R0 retrieval metadata, while prose, policy, and higher-risk changes become review material. The repository describes the project as local, deterministic, git-native, evidence-governed, and licensed under Apache-2.0.
MonoCode is a desktop GUI for running coding-agent command-line interfaces in tabbed sessions. Each tab represents a session, and a shared composer provides the prompt input while the selected CLI uses the user's own logged-in subscription; MonoCode does not sell tokens or act as a model provider. It supports Claude Code, Codex, Cursor CLI, OpenCode, Pi, omp, and fx when they are installed and authenticated. The application supports macOS and Linux, with an Apple Silicon macOS disk-image distribution and source builds requiring Node.js 20 or later and a current stable Rust toolchain. It is licensed under the MIT License and is described by its repository as an early project that may contain bugs.
kimodo.cpp is a C++ and GGML implementation of NVIDIA's Kimodo text-to-motion model for local CPU or Vulkan inference. It accepts UTF-8 prompts or precomputed 4096-value F32 LLM2Vec embeddings and generates root translations plus local XYZW rotations for several control skeletons, including SMPL-X, SOMA, and Unitree G1 formats. The project includes GGUF model loading with validation, Safetensors conversion, DDIM sampling, conditioned multi-prompt transitions, C and C++ APIs, CPU/Vulkan parity tests, skeleton-only GLB export, and a local browser demo. Its native API returns the joints predicted by the selected model; features such as general constraint input, SOMA's 77-joint expansion, skinned-mesh GLB export, and quantized models are not implemented.
AI Engineering Lab is a free, self-paced 24-week AI engineering course developed by Zorost Intelligence AI Lab. It takes learners from Python and machine learning through deep learning, LLM internals, prompt and context engineering, retrieval-augmented generation with vector search, quantization, LoRA and DPO fine-tuning, evaluation harnesses, coding-agent harnesses, AI agents, MCP, and cloud and Databricks platforms including Azure AI Foundry, Google Vertex AI, AWS Bedrock, and Databricks. The curriculum uses one continuous fictional freight-company case study. Each week pairs a concept with a runnable Python, SQL, or PySpark artifact; from Week 3 onward, the work includes a metric and an error note. The repository contains 43 runnable notebooks, publishes the full curriculum online, requires no signup or paid API key, and states that the first eight weeks require no GPU. It is MIT licensed.
open-sheet is a spreadsheet framework for coding agents that represents workbook models as React and TypeScript source. Instead of writing fragile A1-style cell addresses, models can use named references such as `ref('pl').column('revenue')`, which open-sheet resolves at compile time while handling cell addressing, formula references, recalculation, and formula-tree previews. It exports live formulas to XLSX, as well as CSV, HTML, and PDF formats, and reports cells it cannot compute as `#NOT_EVALUATED` rather than emitting a plausible number. The project provides an `npx @open-sheet/cli` initializer, is distributed under the MIT license, and is hosted at open-sheet.dev.
Try Omarchy is a macOS application that runs the upstream Omarchy desktop on Apple Silicon Macs without manual setup. It packages a project-built ARM64 Arch Linux image configured with Omarchy Quattro, a QEMU runtime using Apple's Hypervisor Framework, and a Swift/AppKit launcher. The guest image is built from pinned Arch Linux ARM packages and a pinned Omarchy source revision, with temporary fixes recorded by hash in the guest build specification. The application provides hardware-accelerated ARM64 virtualization and VirGL graphics, a resizable native window with automatic guest-resolution and HiDPI updates, Mac audio input and output selection, two-way clipboard sharing for text and PNG images, one optional shared Mac folder, and loopback-only TCP and UDP port forwarding from macOS into Omarchy. It is distributed as a signed and notarized DMG, and the first launch provisions the Linux account and guest environment. Video decoding is currently CPU-only, which can make high-resolution playback slow. Try Omarchy is not official or affiliated with Omarchy.
Halofy is an open-source governance layer between organizational knowledge and AI agents. It resolves actor identity, roles, namespaces, and source scope on the server; enforces access policies; and records provenance, supersedence, append-only audit history, policy decisions, and signed erasure certificates for reads and writes. The repository exposes governed memory and context operations over MCP and HTTP, including writing, reading, searching, assembling, faulting, statistics, forgetting, policy, sharing, pinning, export, and manifest operations. Postgres with pgvector is the operational authority, while retrieval engines connect through an ACL-scoped read-only driver interface; encrypted, Git-versioned knowledge provides a cold tier, and embedded PGlite is the zero-setup local default. It includes connectors for filesystem, Postgres, Obsidian, and manual CSV import, plus an offline demo and hermetic test lane using deterministic stub components.
spec-ptc is a Python library and demo implementing speculative programmatic tool calling (sPTC) for code-based tool-use harnesses such as Recursive Language Models (RLMs) and CodeAct. While a language model streams code for a REPL call, it identifies closed tool-call statements in the partial code, queues eligible calls as futures, and runs them in a shadow REPL so submodel or tool execution overlaps with continued code generation. When the completed code executes, speculative calls return stored results while non-speculatable or missed calls run normally; tools can be registered with decorators, including controls for speculation and purity. The repository also provides an out-of-process JSON-lines daemon with turn, token-feed, resolution, and cleanup operations, plus wrappers for Claude Code, OpenCode, and Pi-mono.
An interactive skillshot visual-effects sandbox built with Three.js, Vite, and hand-written GLSL. It provides seven abilities and five aiming modes, with keyboard-armed targeting indicators that follow the mouse before the user clicks to fire. The documented abilities use procedural animated effects such as molten ground and burning blades, a ring of tentacles emerging from a rift, an electrical sphere rising from a containment platform, stone formations along a cast line, and constructed gates or rings. The video describes it as a workbench for designing game abilities while they are animated, using procedural geometry, GLSL, and GPU particles with live adjustment against a paused frame.
AppLovin is a mobile advertising technology company that provides user-acquisition and monetization solutions for consumer brands and gaming apps. Its platform distributes advertising, including rewarded video ads, across mobile games and reaches more than a billion daily users.
Google Ads Performance Max is an automated campaign type that uses an advertiser’s product feed, budget, and conversion goal to optimize ad placement across Google Search, Shopping, Display, YouTube, Discover, Gmail, and Maps.
TikTok Ads is TikTok’s self-service advertising platform for creating and managing paid campaigns, including ads that drive traffic to ecommerce sites such as Shopify stores. It supports promotion of video creatives and amplification of high-performing organic content.
YouTube Shorts Ads is a paid advertising format from YouTube that promotes video content in the Shorts feed. It can be used to amplify high-performing organic short-form videos through paid distribution.
Reddit's advertising platform for creating targeted campaigns across its interest-based communities. It supports audience targeting, including retargeting store visitors and showing ads for products they previously viewed.
Maximum Effort is a marketing and entertainment production company founded by Ryan Reynolds. It has produced advertising and publicity campaigns for brands including Mint Mobile, often incorporating Reynolds's entertainment work and public persona.
Walmart is a multinational retail company that operates stores and Walmart.com, selling consumer goods and providing retail distribution for brands such as Feastables and Snoop Cereal. Its online service includes product ordering, shipping, store pickup, delivery, and the Walmart+ subscription program.
Target is a US retail corporation operating department stores and an e-commerce website. It distributes Feastables products and has served as an exclusive launch retailer for Papatui.
The Kroger Co. is a US grocery retailer and retail-distribution company. It operates supermarkets and related retail businesses, and distributes consumer products including Feastables through its stores and channels.
Feastables is a chocolate and candy brand founded by Jimmy Donaldson (MrBeast). Its products are sold through major retailers and compete with established confectionery brands such as Hershey and Mars.
Aviation American Gin is a gin brand founded in Portland, Oregon, and associated with actor Ryan Reynolds. The brand was acquired by Diageo in 2020.
SKIMS is a consumer apparel brand founded by Kim Kardashian that sells shapewear, underwear, clothing, swimwear, and related products.
The Honest Company is a consumer products company founded by Jessica Alba that sells diapers, baby wipes, personal-care products, and household cleaning products through its online store and retail channels.
Teremana Tequila is a tequila brand launched by Dwayne Johnson in 2020. It produces tequila for retail purchase, including blanco, reposado, and añejo expressions.
ZOA Energy is an energy-drink brand launched by Dwayne Johnson, John Shulman, and partners in 2021. The brand was later acquired by Molson Coors.
Papatui is a men's personal-care brand launched by Dwayne Johnson and sold through Target. Its products include grooming, hair-care, skin-care, and fragrance items.
Vital Proteins is a wellness and nutritional-supplement brand known for collagen powders, capsules, drinks, and related products. Nestlé Health Science acquired a majority stake in the company, and Jennifer Aniston joined as chief creative officer.
WeightWatchers is a commercial weight-management program and health company operated by WW International, offering plans that combine nutrition guidance, tracking tools, coaching, and community support. The brand was associated with Oprah Winfrey, who acquired a stake, joined its board, and promoted it.
Creative Fabrica is an online marketplace and subscription platform for digital craft and design assets, including SVGs, fonts, graphics, embroidery files, and templates. Its assets are used with design and cutting workflows such as Cricut and similar systems.
Design Bundles is an online marketplace for digital design assets, including SVG files used with Cricut cutting machines, as well as fonts, graphics, templates, and craft designs.
Kittl is an AI-first online design platform for creating graphics, apparel designs, and other visual assets. It combines templates, AI image generation, editing tools, mockups, and curated design assets, and is used in template-based print-on-demand workflows.
Printful is a print-on-demand fulfillment and dropshipping service for creating and selling custom products online. It produces and ships items such as apparel and accessories on behalf of sellers, allowing them to operate stores without holding inventory.
Printify is a print-on-demand fulfillment platform that lets sellers place designs on a catalog of products and fulfill orders through printing and shipping providers. It integrates with e-commerce channels including Etsy, TikTok Shop, and Amazon, enabling on-demand fulfillment without holding inventory.
Gelato is a global print-on-demand fulfillment service that enables sellers to offer customized products such as apparel, wall art, stationery, and accessories. It produces and ships orders through a distributed network of local printing partners and integrates with online stores and marketplaces.
Creative Market is an online marketplace for digital design assets, including SVG files, fonts, templates, graphics, photos, and 3D assets. It connects independent creators with customers who purchase and download these files for uses such as Cricut projects.
Amazon Handmade is an Amazon marketplace for products made by artisans, including handmade goods sold through the Amazon shopping platform. It is intended as an alternative sales channel for handmade products and permits some template-based work under its marketplace rules.
Redbubble is an online marketplace for print-on-demand products. Independent artists upload designs that Redbubble prints on items such as apparel, stickers, home goods, and accessories, with artists receiving a share of sales.
TeePublic is an online print-on-demand marketplace where independent artists can upload designs for products such as apparel, accessories, and home goods. TeePublic handles product printing, fulfillment, and shipping, while artists earn royalties on sales.
A JAX debugging API function that visualizes how an array is sharded across available devices, including which portions are partitioned and which values are replicated. It is part of the open-source JAX array-computing library.
Flax NNX is a neural-network API for JAX developed by the Flax team in collaboration with the JAX team. Released in 2024, it uses Python reference semantics so models can be expressed as regular Python objects with reference sharing and mutability, supporting inspection, debugging, and analysis. Its API includes layers and modules such as Linear, convolution, normalization, attention, recurrent cells, and dropout, along with patterns for replicated training, serialization, and checkpointing. In distributed training, it can manage model state while JAX handles computation across a device mesh.
Orbax is a Google-developed collection of checkpointing and persistence utilities for JAX models and training state. Its checkpointing API saves and restores pytrees such as model weights and optimizer state, with support for asynchronous checkpointing, standard and custom types, and flexible storage formats. It is distributed through domain-specific PyPI packages including orbax-checkpoint and orbax-export, and is used by JAX-based machine-learning frameworks and model implementations.
StableHLO is a backward-compatible operation set for high-level machine-learning operations and a portability layer between ML frameworks and compilers. Frameworks such as TensorFlow, JAX, and PyTorch can produce StableHLO programs, while compilers such as XLA and IREE can consume them; the programs can also be used for on-device execution through Google AI Edge. Based on the MHLO dialect, StableHLO adds serialization and versioning through MLIR bytecode, with backward- and forward-compatibility guarantees. The project includes the StableHLO specification and an MLIR-based C++ and Python implementation for defining programs and integrating them with compatible compilers.
Kubernetes-sigs Agent Sandbox creates isolated, disposable environments for running untrusted or agent-generated code. It is intended to separate such code execution from other workloads.
Data Agent Kit is an editor extension for working with data operations. It supports viewing data jobs, executing saved queries, monitoring data-flow and Spark jobs, running notebooks, and accessing data services.
Gemini Live API is a Google Gemini API for building voice agents that listen and respond through live audio-to-audio interactions. It supports real-time responses, interruption handling, audio streaming, and calls to application tools.
live-dj is an open-source voice-agent demo in which users talk to Mira, a late-night radio DJ, ask her to play music, and interrupt her while she speaks. It uses the Gemini Live API through the raw `google-genai` SDK rather than an agent framework. The browser handles microphone capture, 16 kHz audio input, 24 kHz playback, client-side barge-in, and music ducking. The server maintains one asynchronous Live API session per browser and runs the core loop of opening a session, sending microphone audio, receiving streamed voice responses, and playing them. The full application adds Mira's persona, transcripts, music-tool dispatch, and controls for playing playlists or tracks, skipping, and pausing; the tools return immediately so the voice response does not stall. A minimal backend exposes the 39-line voice-only primitive, while the full server demonstrates the complete DJ application. The repository also documents a per-turn `session.receive()` behavior that requires an outer loop for continuing conversation, and shows that microphone audio must be sent through `send_realtime_input` rather than `send_client_content`. It runs locally with `uv`, Uvicorn, and a Gemini Developer API key. The repository includes a browser client, four dream-pop tracks, persona assets, and examples of the relevant implementation pitfalls.
Eon is a cloud-based data foundation for backup, disaster recovery, and enterprise AI. It maps and classifies data across environments, ingests information from structured and unstructured sources, and applies access controls.