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.

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.

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.

Parley is coordination infrastructure for autonomous AI coding agents that provides durable message delivery, human-in-the-loop escalation, file-claim soft-locks, and an append-only flight recorder for auditability, aimed at teams running agent fleets.

ChatOSS is a native desktop workspace for agentic coding that runs open-source models locally via Ollama or in the cloud, letting AI agents write code in your repositories, plan and track tasks on an integrated Kanban board, and run a suite of extendable apps.

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.

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.

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.

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).

Intercom is a combined AI-powered helpdesk and customer service platform featuring a natively integrated AI Agent called Fin that automates, assists, and improves customer support across channels for businesses and teams.

Site Manager AI is a web + iOS app that provides UK construction site managers and foremen instant, regulation-aware answers, on-site photo hazard analysis, and fast drafting of risk assessments, method statements and site reports.

Guesty is an AI-powered vacation rental property management platform that centralizes channel distribution, guest communication, revenue management, and operations for hosts and property managers of any scale.

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.