AGNT is a free, local-first agent operating system whose goal is to centralize a user's existing AI subscriptions, models, and coding agents into a single workspace. It does not merely provide answers; it lets AI take on concrete work and turns useful operations into reusable tools and workflows. Its coordinator, Annie, can orchestrate research, code, content, and operations tasks, with built-in memory, automation, and cost visibility.
In terms of use, AGNT is aimed at scenarios that require doing actual work, including decision briefs, competitor monitoring, analysis with traceable sources, KPI reports, reconciliation, meeting follow-ups, queue triage, lead qualification, outreach, support research, proposal writing, as well as issue investigation, code changes, checks, and releases.
Key capabilities:
- Bring supported AI subscriptions, API keys, or local models into the same workspace and reuse existing access.
- Supports more than 20 providers and local runtimes, allowing selection of frontier models, fast specialized models, or local models per task.
- Can delegate to external execution engines such as Grok CLI, Codex, Claude Code, Hermes, and OpenCode via CLI or SDK integration.
- Annie, as coordinator, can build agents, workflows, tools, and skills, and invoke web search, scraping, file operations, code execution, image and video generation, email, spreadsheets, Git, Shell, and plugin tools from the registry.
- Skills can be activated by context, such as frontend design, research synthesis, plugin building, codebase analysis, media pipelines, and more.
- Tasks can be run in parallel queues, scheduled, or delayed, with Annie monitoring, polling, and iterating in the background.
- Can read, write, and organize files anywhere on the local machine, create projects, generate code, and produce reports.
- Can use stored OAuth tokens to directly call connected providers such as GitHub, Gmail, Slack, Notion, and Stripe.
- Supports long-term goals: after defining outcomes and success criteria, AGNT continues to execute, evaluate, and replan, and can run for hours or days.
- Provides deterministic workflows: node pipelines triggered by timers, webhooks, or app events, with retries and approval gates.
- Approval gates are set for sensitive operations; each run generates a receipt recording actions, costs, and failures; credentials are stored in the operating system keychain and injected at runtime.
- Provides 119 native tool nodes covering GitHub, Slack, Stripe, Postgres, and more, plus Zapier bridges 6,000+ apps and any MCP server client.
- The marketplace provides ready-to-run agents, tools, workflows, skills, plugins, and controls, with each page containing the idea, a runnable template, and a path to run it in AGNT.
- Cache-aware design: keep reusable instructions, tool definitions, and conversation prefixes stable, helping supported providers reuse cached input, and provide views of usage and estimated cache savings.
How to use it: You can download the AGNT desktop app, connect a supported model access method, and start with one concrete task. The official introductory prompt examples include: for research, build a source-linked briefing on three products, distinguish observed facts from recommendations, cite primary sources, and flag what cannot be verified; for code, perform a read-only review of a specified project, identify one concrete issue, explain the evidence, and propose a minimal fix and verification plan without editing files; for repeatable work, demonstrate a repeatable report calculation using self-generated sample data, run it twice and check that the results are consistent, show the inputs, method, and outputs, and do not connect external accounts. AGNT provides native desktop apps for Windows, macOS, and Linux, supports local models and an OS keychain vault; it can also run in headless environments such as NAS, VPS, and homelab via a single Docker command; it can also be deployed full-stack on your own server; or you can use cloud hosting operated by AGNT.
Pricing and runtime options: Community Core is free, runs locally, and is suitable for individuals and small businesses, with unlimited local runs; model usage uses your own key or local models; search, scraping (you can use your own browser), sandbox, email, and Webhook are not included. Paid plans host agents and include seven services: models (such as 1 million context, tool support, vision, and streaming), search, scraping, sandbox, email, Webhook, and mobile SMS, with different tiers providing different quotas; Pro hosted instances sleep when idle, with up to 8 active hours per day; Pro + Always-On never sleeps; the Team edition is a shared instance for three people and includes a shared vault and audit receipts; the Enterprise edition provides SSO and access control, private or hybrid deployment, security review, and negotiated support. Monthly quotas are billed monthly; usage beyond the quota requires user authorization, and you can cancel at any time and keep Core. Paid cloud plans include AGNT Auth Manager, which monitors connection health and refreshes tokens before routine expiration. AGNT also provides managed operations services, with the team that builds AGNT handling end-to-end production operations defined by the client.
Limitations and notes: Model access and usage depend on the provider used, and the provider's plan limits and terms still apply; supported options, authentication methods, and integration features vary; CLI and SDK delegation are not exactly the same as AGNT native execution. The figures in cost comparisons are estimates based on recorded usage and assumed API rates, not controlled benchmarks or guarantees of future savings; cache accounts for 86.01% of the uncached API-equivalent reduction, and subscription pricing explains the remaining difference; results depend on the model, plan, workload, and cache reuse. Specific prices, quotas, platform support, and integration details are subject to the official pages, and features, charges, platforms, or performance information not provided in the materials are not expanded on here.
