Use what you already pay for.
Connect supported AI subscriptions alongside your API keys. Put your existing access to work instead of starting with another token bill.

Bring your AI subscriptions and coding agents. Annie puts them to work across research, code, content, and operations — with memory, automation, and cost visibility built in.
docker run -d -p 3333:3333 ghcr.io/agnt-gg/agnt:latestFree forever locally · Your subscriptions, API keys, or local models
98.75% lowerthan the uncached API equivalent in one recorded workload.Organization names reflect individual affiliation. No partnership or endorsement is implied.
Not another model picker.
A workspace for agents, tools, and the work they produce.
See a rich response inside AGNT, with saved outputs, workflows, and integrations close at hand.
Organize your agents, inspect their configuration, and talk to them without leaving the workspace.
Connect triggers, tools, and code in a visual workflow. Inspect the configuration alongside the graph.
Explore AGNT’s visual workspace with workflow nodes, writing, charts, code, images, and audio side by side.
Actual AGNT product screenshots · Click a view to explore or enlarge.
Supported connections. Provider plan limits and terms apply.
You do not have to replace the tools you trust. Bring your subscriptions, your models, and your coding agents. AGNT brings the work around them together.
Connect supported AI subscriptions alongside your API keys. Put your existing access to work instead of starting with another token bill.
Keep the execution engines you trust. AGNT can delegate to Grok CLI, Codex, Claude Code, Hermes, and OpenCode through CLI or SDK integrations.
Explore the execution optionsFrontier models, fast specialists, or a model on your own machine. Choose from 20+ providers and local runtimes in the same workspace.
Supported plans, authentication methods, and integration features vary. Provider limits and terms still apply. CLI and SDK delegation are not identical to native AGNT execution.
Cache-aware execution and supported subscriptions can change the economics of agent work. Here is one recorded workload, with the numbers behind it.
below the uncached API equivalent
Caching + subscription economics.
Not a caching-only claim or a guaranteed bill reduction.
86.01% lower estimated API cost from recorded cache reuse.
One full monthly fee allocated to this recorded usage.
AGNT keeps reusable instructions, tool definitions, and conversation prefixes stable to help supported providers reuse cached input.
Inspect usage and estimated cache savings. Keep metered API costs separate from subscription fees and API-equivalent comparisons.
Use supported subscriptions, metered APIs, or local models. External agent engines retain their own caching and billing behavior.
This comparison uses 792,710,774 recorded processed tokens in AGNT’s Codex/Astra-labelled usage through September 6, 2026: 790,588,439 input tokens, including 765,659,136 cached input tokens, and 2,122,335 output tokens. Processed tokens include context reused across requests; they are not unique words.
Assumed API rates: $10 per million uncached input tokens, $1 per million cached input tokens, and $50 per million output tokens. These are calculation assumptions, not a newly verified public rate card. The cached rate reconciles to the stored estimate.
The comparison allocates one full $100 monthly subscription fee to the recorded usage. It is not a matched billing-cycle invoice, a controlled benchmark, or a guarantee of future savings. Recorded usage has completeness and model-attribution limitations. Caching accounts for 86.01% of the uncached API-equivalent reduction; subscription pricing accounts for the additional difference. Native provider caching is also available outside AGNT. Results depend on the model, plan, workload, and cache reuse.
Start with the result you need. AGNT plans the work, uses approved tools, and stops when the job is complete or blocked.
“Build this week’s operating report and flag anything that needs a decision.”
A blocked run stays blocked. AGNT does not label partial work complete.

The agent that builds your agents / workflows / tools / skills / then puts your AI to work and hands you the receipt.
Preferences, corrections, facts, and workflow learnings persist across every conversation. Annie gets better the more you work with her.
Web search, scraping, file operations, code execution, image and video generation, email, spreadsheets, Git, shell — plus every plugin tool in the registry.
Skills activate contextually: frontend design, research synthesis, plugin building, codebase analysis, media pipelines, and more.
Queue tasks to run in parallel, on intervals, or after a delay. Annie monitors, polls, and iterates while you do other things.
Read, write, edit, and organize files anywhere on your system. Create projects, generate code, produce reports — all local, all yours.
Annie uses your stored OAuth tokens to call GitHub, Gmail, Slack, Notion, Stripe, and any connected provider directly.
You do not need to design an agent before you know whether the job is useful.
01Describe what should exist when the work is done.
02AGNT requests only the tools and authority the operation needs.
03Review the output, evidence, cost, and any unresolved failure.
The same runtime, receipts, and vault everywhere — native desktop apps, a single Docker command, your own servers, or AGNT-operated cloud.
Native builds with local model support and the OS-keychain vault.
Headless on any box — NAS, VPS, homelab — in one command.
Full stack on your servers. Open source — audit it, extend it, own it.
Zero-ops hosting with Auth Manager keeping every token fresh.
Run a single operation. Keep it only if the result earns another run.

Decision briefs, competitor monitoring, source-backed analysis.

KPI reports, reconciliation, meeting follow-up, queue triage.

Lead qualification, outreach, support research, proposals.

Issue investigation, code changes, checks, and release work.
Use deterministic automation when every step is known. Use AGNT when the job needs context, judgment, tools, approvals, and a durable record.
AGNT carries work through tools instead of stopping at advice.
It does the work →Sources, actions, approvals, cost, and failures remain visible.
Every step stays visible →Community Core runs locally. Cloud removes operational overhead.
Local first, cloud optional →AGNT connects to 20+ AI providers — frontier cloud models and fully local runtimes side by side. Bring supported subscriptions or API keys, choose a model per task, and keep your options open. Provider plan limits and terms apply.
Model names and logos are the trademarks of their respective owners and indicate compatibility, not endorsement.
119 native tool nodes span the whole stack — from GitHub and Slack to Stripe and Postgres — plus a Zapier bridge to 6,000+ apps and a client for any MCP server. No glue code, no brittle webhook plumbing.
Logos are the trademarks of their respective owners. Additional providers reachable through the Zapier bridge and MCP.
Browse ready-to-run agents, tools, workflows, skills, plugins, and widgets. Every marketplace page gives you the idea, the working template, and a direct path to run it in AGNT.
Find proven systems for reporting, research, support, engineering, finance, and more.
Install an inspectable package with its configuration, sample input, permissions, and version history.
Change the model, tools, routing, approvals, output, and schedule after the first run.
Unedited words from the AGNT community — developers, operators, and first-timers who ran a real job and saw the receipt. Spelling preserved exactly as written.
“So far you’ve accomplished what AutoGPT did not for me: have actual workflows running, not on my own computer, in a non-containerized environment, that would otherwise require me to invest more time and effort setting up.”
“AGNT is the best orchestration harness I’ve come across. I recommend all of you try this out! This interactive demo is so impressive — just off scraping our website, Annie built this whole interactive page. Real-world use cases included.”
“After using a lot of different systems I can tell you the way AGNT works when people see it run is an eye opener. The key is to see it run as someone building.”
“On a high level the workflow builder seems great, and the UI is super nice. Really looking to accelerate my workflows and run more parallel agents.”
“I have a skill that I run after each workflow that patches the workflow skill — but this is automatic and the insights are really good! Cool.”
“I’m a normal user, no IT background — my job is nurse, haha. But I’m learning and want to go deeper into AI. AGNT works well for me.”
Authentic community feedback, preserved as written. Handles shown where a public testimonial was given; other members attributed by role and date to protect privacy. Not paid endorsements.
Core is free. Cloud plans add managed connections, sync, ingress, teams, and support.
For self-run use.
For one operator.
For small operating teams.
For private deployment and formal controls.
Personal annual: $290, or $490 with Always-On. Business annual: $990 including 3 seats, then $250 per added seat/year. More than 100 seats moves to Enterprise. Cancel Cloud and keep Core. Model and third-party API charges remain visible.
Agents for judgment, goals for long-running outcomes, workflows for determinism — all sharing the same tools, vault, approval gates, and receipts.
Persistent workers with scoped tools, memory, and credit budgets. Each one owns a job and reports back with evidence.
Define the outcome and its success criteria. AGNT iterates — execute, evaluate, replan — for hours or days until the goal passes.
Timers, webhooks, and app events trigger node pipelines with retries and approval gates — when every step is known in advance.
The same runtime scales from one laptop to a team without changing how work is verified.
Paid Cloud plans include AGNT Auth Manager for supported providers. It monitors connection health and refreshes eligible tokens before routine expiration.

For companies that want a defined production operation owned end to end — designed, hardened, and answered for by the team that builds AGNT itself.
A defined operation with agreed success criteria and reviews — you hold us accountable for results, not software licenses.
Accountability, contractedSkip recruiting an automation team. The people who build AGNT design, harden, and operate the system for you.
Zero added headcountThe same receipts, approval gates, and audit trail — your team keeps full visibility into every action we take.
Full audit trailWe publish leading work on agent architectures, evaluation, verification, and the practical engineering of accountable AI operations. Written by the people building AGNT.






Clear boundaries before you commit — what is free, what stays local, and what happens when things fail.
Read the docs →Community Core is free forever for self-run use. Paid plans cover AGNT-operated cloud services, managed connections, teams, and support.
Yes. AGNT supports subscription-backed connections alongside API keys and local models. Availability depends on the provider, plan, authentication method, and integration. Your provider’s usage limits and terms still apply; connecting a subscription does not make it unlimited.
Both. AGNT runs its own model-and-tool loop and can delegate work to external engines such as Grok CLI, Codex, Claude Code, Hermes, and OpenCode. It can use installed CLIs and SDK integrations, so you can keep your coding agents and coordinate broader work around them. Features, session controls, and billing behavior vary by integration.
It depends on your workload and how you connect. In the recorded comparison above, caching reduced the uncached API equivalent by 86.01%. Allocating a full $100 subscription fee to that usage put it 98.75% below the uncached API equivalent. That combines cache reuse and subscription economics — not a universal discount or a caching-only saving. Read the methodology.
Yes — Ollama and LM Studio run through a compatible local endpoint, fully offline. You can also bring your own commercial provider key and mix local and cloud models per task.
The receipt records the failed step, error, retries, partial output, and whether it is safe to resume. Nothing is silently swallowed.
Only if you choose local models and local tools. External models and APIs receive the data required for the approved operation — and the receipt shows exactly what was sent where.
Fully local by default — in your operating system's encrypted keychain, on your machine, injected at execution time and never written to logs or prompts. Optional Cloud Sync keeps your OAuth tokens fresh across devices, encrypted end to end.
Only within the authority you granted. Sensitive actions — sending email, changing records, spending money — can be gated behind explicit approval steps, and every action lands in the receipt.
Bridge to 6,000+ apps through Zapier, connect any MCP server, call any REST API directly, or build a custom tool in Tool Forge — no plugin release cycle required.
Yes. Run the desktop app or the Docker image on your own hardware. The full stack is open source — audit it, extend it, redistribute it.
Download free. Connect your AI. Give Annie a real job.