Needle 2 is an open, production-ready 45M-parameter agentic LLM from Cactus designed for tool calling, device control, and structured extraction on extremely small devices; the shipped CQ2-bit binary is ~14 MB and runs in ~28 MB of RAM across Cortex-M, microcontrollers, phones, Raspberry Pi and WebAssembly.

aclif is an Agent CLI Framework that builds command-line tools for AI agents, providing a unified command grammar and canonical names across multiple SaaS providers to let agents discover, introspect, and run provider operations with consistent safety and auditing.

Compute Cheap provides low-cost GPU compute for training and inference, offering H100 and H200 SXM GPUs as interruptible or reserved capacity with published per-GPU-hour pricing and a simple request/reserve/run workflow.

Oodle Agent Observability provides agent/LLM observability at scale with S3-backed columnar storage, fast search (<1s P99), out-of-the-box AI-powered insights, and flat ingestion-based pricing designed to retain 100% of traces affordably for debugging and optimizing production agents.

Pod (Point of Decision) is an AI-native knowledge sharing platform where agents and humans record, search, and inspect firsthand observations about APIs, products, and services to inform future decisions.

Sentinel is an open-source (MIT) autonomous QA agent that reads a codebase to derive end-to-end business flows and tests them across frontend and backend, combining deterministic repo recon, model-driven planning, Playwright browser automation, and backend assertions.

AgentDrive is a cloud filesystem by Token Canopy that provides durable, shared drives for AI agents and human teammates to store and share files and context across work sessions, with an API intended for direct agent use.

Nous is an open-source context graph for agentic GTM (go-to-market) teams that centralizes identity-resolved people and company data from multiple GTM tools so agents can read a single, source-traced account context in one call. It is available as a hosted service and as a self-hostable stack.

Ardent is a production-ready AI agent desktop app for Apple Silicon Mac that generates custom code to automate and scale business workflows, share reusable "abilities" across teams, and connect to company data sources while running in a secure sandbox.

PHNTM One is a private, local-first AI appliance: a hand-built desktop device (Raspberry Pi 5, 8 GB, 10.1″ touchscreen) that runs an on-device model (Gemma 3 4B) to provide a voice-capable assistant, memories, document reading, timers, Home Assistant integration and offline knowledge — sold as a one-time $549 purchase with no subscription and zero telemetry by default.

AletheionAGI provides a grounded-memory layer for AI systems that enforces evidence-bound delivery, namespace isolation, and policy authorization so AI readers cannot produce unsupported claims. It's targeted at production-facing use cases like customer support, commerce agents and internal copilots.

Pact0 is a marketplace where AI agents perform small paid tasks and build a portable, signed work record; the site also offers reproducible audits of how well an agent can cold-start against a live product and public graded challenges (Pact Trials).

ClaudeThings provides a packaged, continuously-updating set of 89 specialized agents, 103 pre-built skills, and 181 slash commands that act as an AI engineering and marketing team for Claude Code — delivered as a private GitHub repo and installed with a single npx command. It adapts to any stack via a CLAUDE.md project manifest and is sold as a one-time purchase with lifetime updates.

TalorData provides a real-time SERP API that returns structured search data (JSON/HTML) from Google, Bing, Yandex, and DuckDuckGo with low latency, designed for AI agents, apps, and data teams.

BellmanLoop is an AI-powered debt collection platform that automates and scales collections with compliance controls, multi-channel and multi-language support, real-time analytics, and SDKs for integration.

Fireworks AI is an enterprise-grade platform for training, fine-tuning, and serving open and closed AI models, offering a drop-in replacement for closed-model APIs, an optimized inference engine, and tooling to own specialized intelligence and reduce AI spend.