AIAny
AI Agent2026
Icon for item

holaOS

Provides a local-first desktop workspace that runs and coordinates AI agents across your files, browser, and third-party tools with a shared, editable memory. Offers built-in models or bring-your-own-keys, one-click OAuth to 100+ integrations, and browser-driven agent automation.

Introduction

Most agent tools treat each session as a fresh start; holaOS flips that model by making durable, local-first workspace memory the center of agent execution. That memory is structured as plain, editable files and embeddings, so agents pick up context across sessions and across different agent engines without rebuilding state.

What Sets It Apart
  • One shared memory for every agent: multiple agents (built-in and third-party) read and act on the same workspace memory, so switching agents or resuming work preserves context rather than restarting.
  • Local-first, inspectable memory: workspace facts and artifacts are stored as readable files and embedded indices on your machine, letting you edit, delete, or audit exactly what the agents recall.
  • Real browser automation and HolaApps: agents can drive signed-in browser instances and live in interactive in-workspace apps (Notion, GitHub views, custom MCP apps) rather than only exchanging chat transcripts.
  • Flexible model options and integrations: comes with no-key default models (Kimi, GLM variants mentioned) and supports BYOK for OpenAI/Anthropic-compatible endpoints; one-click OAuth connects 50–100+ tools into the same working context.
  • Orchestration and durable artifacts: hidden subagents can run in parallel while deliverables (docs, slides, spreadsheets, files) are written into the workspace as real files, not just chat outputs.
Who It's For and Tradeoffs

Great fit if you want an agent-driven workstation that keeps control and visibility local — developers, product teams, and privacy-conscious users who need reproducible agent workflows and editable memories. Useful when you need browser-driven automation, multi-tool coordination, or reusable skills packaged as installable combos. Look elsewhere if you require minimal resource use (Electron desktop has a larger footprint), strictly cloud-hosted SaaS with no local components, or if you cannot accept the repository's modified Apache license constraints for commercial redistribution. Self-hosting and enterprise SSO are supported but add operational complexity and infrastructure choices.

More Items

Hugging Face
AI Model2026

Open-weights LLM fine-tuned for phone-based voice agents that prioritizes low latency and reliable tool/function calling. Based on NVIDIA Nemotron 3 Nano (30B total, 3.5B active), supports very long contexts (262,144 tokens) and recommends temperature=0 with thinking disabled for deployment.

GitHub
AI Agent2026

A curated collection of production-ready Agent Skills that turn tasks—presentation production, image generation, local KB retrieval, article assembly, and web-design—into agent-loadable skill folders. Uses a SKILL.md contract, supports multiple agent runtimes (Claude Code, Cursor, Codex), and offers modular install paths with pinned release zips.

GitHub
AI Agent2026

Provides a ruleset and skills that make AI coding agents prefer the simplest correct implementation: reuse existing code, prefer stdlib/native features, and only write minimal new code. Cuts generated LOC, tokens, cost and time while preserving validation and safety.