What Invoked is, what it isn't, and where your data lives.Read the briefing
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Ships ready to run — GitHub & Hugging Face surfaces built in

Design, run, and test agents in one workspace.

Call real GitHub and Hugging Face MCP tools seconds after you download — no setup, no keys to wire up first. Then point it at your own APIs, databases, and internal services. Compose tools, build harnesses, and orchestrate agents across all of them.

macOS 13+·Windows 10/11·Linux·No account required to start
Workspace overview
Workspace overview
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Works with the tools you already use

GitHubHugging FaceAnthropicOpenAIOllama+ any MCP server

Why teams build on Invoked

Working in 60 seconds

Ships with GitHub & Hugging Face tools wired up. Call real tools before you’ve touched a config file.

Your keys never leave

Local-first by design — keys, configs, and run history stay on your machine. We can’t see them.

Nothing is a black box

Every run shows its full trace: reasoning, tool calls, tokens, timing. Prove what happened.

Every run compounds

Turn winning runs into reusable skills with version history and success data. The good ones rise.

What it does

A full workbench for agentic work.

Orchestrate agents, compose tools, evaluate the results, and switch between surfaces without losing context. Built for teams who run real agentic work and want every run to make the next one better.

Dashboard

Know how your agents are actually doing.

Every run reports back: tool calls, latency, error rates, token spend, and a live activity graph across your whole workspace. This is the control room. You see reliability trends and cost at a glance, so you fix what matters and prove what works instead of guessing.

Live activity graphLatency and error ratesToken spend by model
The Invoked dashboard showing agent observability metrics: tool-call volume, latency, error rate, token spend by model, and a live activity graph across the workspace.
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Surfaces

Connect your models and tools in one place.

Bring your own model keys, Anthropic, OpenAI, Ollama, or a custom endpoint, then connect MCP servers, tool sets, and APIs as surfaces. Switch between them with a keystroke. Each surface keeps its own tools, agents, chat history, analytics, and skills, fully isolated, so your GitHub stack and your internal services never interfere.

Bring your own keysFully isolated surfacesKeystroke switch
The Invoked settings connecting AI models and providers such as Anthropic, OpenAI, and Ollama, and configuring isolated surfaces.
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Exchange

Find a surface or skill and invoke it in seconds.

The Exchange is an in-app directory of MCP surfaces and community skills, searchable and ready to add. Browse real, working tools, pull one into your workspace, and call it immediately. No hunting through repos, no setup ceremony.

Searchable directoryOne-click addReal working tools
The Invoked Exchange, an in-app directory to search and add MCP surfaces and community skills from the public catalog.
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Tool Composer

Compose exactly the capability an agent needs.

Browse every built-in tool, configure its parameters, and call it right there to see the structured response. Assemble a precise tool set for an agent instead of handing it everything and hoping it picks well.

Every tool in one placeConfigure and callStructured responses
The Invoked Tool Composer browsing built-in tools, configuring parameters, and calling an MCP tool to show its structured response inline.
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Chat

Talk to an agent with full tool access.

A clean chat panel with the same tool access and run tracing you get everywhere else in Invoked. Talk to an agent, watch it use tools, and keep the full history. The fast path from a question to a real, tool-backed answer.

Full tool accessSame run tracingKept history
The Invoked Chat panel running a conversational AI agent with full tool access and the same run tracing used across Invoked.
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Prompt Workspace

A real prompt library, not a scratch pad.

Author, save, organize, and parameterize your prompts, then run them in chat or agent mode. Your best prompts become reusable assets that follow you from project to project instead of getting lost in a text file.

Save and organizeParameterize promptsRun anywhere
The Invoked Prompt Workspace for authoring, saving, organizing, and parameterizing agent prompts, then running them in chat or agent mode.
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Skills

Save what works. Reuse it forever.

Turn any successful run into a reusable skill. Parameterize the inputs, pin a model, lock a tool set, then run it again in one click or share it with your team. Skills carry their own version history and success data, so the good ones rise on their own.

One-click reuseVersion historySuccess data
The Invoked Skills library showing reusable agent skills with pinned models, locked tool sets, version history, and success data.
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Harnesses

Wire agents into flows you can trust.

Place agents on a canvas, connect them, and run them in dependency order with phase-scoped guardrails. Independent steps execute in parallel. Evaluate every change against a baseline before it ships, so you direct the system instead of babysitting it.

Parallel executionPhase-scoped guardrailsBaseline evals
The Invoked multi-agent harness canvas: connected agent nodes running in dependency order with phase-scoped guardrails, parallel steps, and per-node run stats.
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Agent Orchestrator

Watch an agent think, in full detail.

Run an agent and see the whole trajectory stream in live: reasoning, every tool call and its result, and the final answer. Nothing is hidden behind a spinner. When something goes wrong you see exactly where, which is how you actually debug an agent instead of rerunning it and hoping.

Live streamed traceEvery tool call shownNo black boxes
The Invoked Agent Orchestrator streaming a live, fully traced agent trajectory: reasoning, each tool call and its result, and the final answer.
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Run history

Every run, fully traced and replayable.

Each run is saved with its complete trace: reasoning, tool inputs and outputs, tokens, and timing. Replay any run to see exactly what happened. Your history is the record that makes the next run better, and it stays on your machine.

Full execution traceReplay any runLocal and private
The Invoked run history listing recent agent runs with success, latency, and timing, each replayable with a full trace, stored locally.
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Evals

Prove a change is better before you ship it.

Compare runs side by side, swap models, and score outputs with an LLM judge. Every prompt edit and model swap gets measured against the last one, so you keep only the changes that actually improve success. No more shipping on a hunch.

Side-by-side runsLLM-judge scoringModel swaps measured
The Invoked Evals panel comparing agent runs side by side, swapping models, and scoring outputs with an LLM judge before a change ships.
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Run & Ship

Build an agent. Watch it work. Ship the code.

The moment after you build should never be a shrug. Run your harness live and watch every step: reasoning, tool calls, the final result. Then grab portable integration code in your framework, a React component or a TypeScript client, and drop it into your app. Bring your own key and it runs anywhere.

Live run previewPortable code you ownShare with your team
The Invoked Run and Ship panel running a harness live and generating portable integration code, a React component and a TypeScript client, from the same harness.
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Publish

Ship a surface to your gateway in a few clicks.

Publish turns a surface into a live, governed endpoint on your API gateway. Connect Kong, preview exactly what gets created, run a dry-run diff, and publish. Invoked pushes the config for you and your services, routes, and API-key protection land on the gateway, ready to route. Or export a clean OpenAPI 3.0 spec for Postman, AWS, and Azure. Your surface stays the source of truth.

Publish to KongOpenAPI 3.0 exportDry-run before you push
The Invoked Publish panel connected to a live Kong Gateway, rendering a surface as gateway config with services, routes, and a key-auth plugin, plus an OpenAPI 3.0 export option.
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Import

Bring your existing setup with you.

Import agent definitions and tools from OpenAI Agent Builder, OpenAPI, Postman, Insomnia, and cURL. Your existing APIs and internal services become agent-ready surfaces without a rewrite, so the investment you already made starts paying off again inside Invoked.

Agent Builder + OpenAPIPostman and cURLNo rewrite
The Invoked Import hub bringing an existing setup into Invoked from OpenAI Agent Builder, OpenAPI, Postman, Insomnia, and cURL.
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And the rest of the workbench

10 more
Preloaded surfaces

GitHub and Hugging Face MCP surfaces ship built in — open the app and call real tools immediately, no setup or API keys to start.

Run history

Full execution trace for every run: reasoning, tool inputs and outputs, tokens, and timing. No black boxes.

Evals

Compare runs side by side, swap models, and score outputs with an LLM judge before you ship a change.

Token economy

See cost and token spend per run, per skill, and per surface. Budgets, warnings, and inline estimates before you confirm.

Backup and recovery

Personal run history lives in local storage and backs up encrypted to our cloud storage. Team reference runs sync so nothing is lost.

Tool composer

Browse all built-in tools, configure parameters, and compose exactly the capability surface an agent needs.

Prompt workspace

A real prompt library, not a scratch pad. Save, organize, parameterize, and run prompts in chat or agent mode.

Chat

A clean conversational panel with full tool access and the same run tracing you get everywhere else.

OpenAPI export

Every configured tool set is a live OpenAPI 3.0 spec. Import into Postman or Swagger UI in one click.

Keyboard first

Command palette, panel shortcuts, and skill launchers. Everything reachable without leaving the keyboard.

AI enablement

Wherever you are on the AI journey, this is your on-ramp.

Every organization is somewhere on the same curve right now, the way everyone once moved from on-prem to cloud, or from before the internet to after it. The ones who move first compound a lead. The hard part is rarely the model. It is turning the systems you already run into something agents can actually use.

This is one of Invoked's strongest capabilities. It takes the APIs you already have and quickly surfaces sensible skills, efficient tools, and ultimately harnesses your team can build on today. No rebuild, no rip and replace, and above all no lift and shift. You meet the journey where you stand and move up the curve in days, not quarters.

The AI enablement curve

and where Invoked plays a role

With Invoked

01 / 06

Connect a first API and call a real tool in minutes.

  • Point Invoked at an API or MCP server and it becomes a usable surface.
  • Watch an agent make its first real tool call, not a mock.
  • Browse every endpoint and try it interactively before you wire it in.
  • Bring your own model key, or use a free option to get moving.
  • See the full request and response for every call, in plain view.
  • No setup call and no account required to get there.

Invoked moves a team from wherever it starts toward AI-native, one proven skill at a time.

Why it is a force multiplier

Reuse what you have

Your existing APIs and internal services become agent-ready surfaces without a rewrite. The investment you already made starts paying off again.

Everyone builds, not just experts

Skills and harnesses turn a working run into something the whole team can reuse, so AI capability spreads past the handful of people who can prompt well.

Compounding head start

Each skill, tool, and eval makes the next one faster to build. The early lead is the hardest for others to close.

Why it compounds

It gets better while you sleep.

Most tools forget the moment a task finishes. Invoked keeps the trace, the skill, the eval, and the success data and scopes it to your workspace. The system reads its own results: the prompts that work get promoted, the tool sets that hold up get reused, the runs that fail get flagged. Nobody has to tune it by hand.

So the math inverts. Most software is worth most on day one and decays from there. Invoked is worth the least on day one and climbs every week after, as success rates rise, latency drops and the library of proven work grows. Your return on investment increases all on its own. It is not a portable export. It is a moat that compounds.

A workspace over 12 weeks

compounding
Run success rate74%96%
Median latency8.1s3.4s
Reusable skills341
Manual tuningconstantnone
Week 1Week 12

What accumulates

workspace-scoped
Proven skills

Successful runs become reusable skills with version history and success rates. The good ones surface on their own, the rest fade.

Self-tuning tool sets

The compositions that hold up under real load get reused, ranked, and shared across the team automatically. No manual curation.

A rising baseline

Every model swap and prompt edit is scored against the last one, so the workspace only keeps the changes with proven success.

For solo developers

Invoke a whole tech stack in seconds.

Working solo means juggling a dozen tools at once. With the surface switcher, your GitHub, your database, your internal API, and every MCP server you use are one keystroke apart. Flip between entire ecosystems without losing context, and let the agent reach across all of them in a single run.

Ecosystems on a keystroke

Each surface keeps its own tools, keys, history, and skills. Switch from one stack to the next instantly, nothing to reconfigure.

Bring your own keys

Connect Anthropic, OpenAI, Groq, Ollama, or a custom endpoint. Free key options get you running without spending a cent.

Your machine, your data

Runs, traces, and credentials stay in local SQLite. Personal history backs up encrypted to our cloud storage, which only you can read.

Skills that pay you back

Turn a good run into a one-click skill. The library you build follows you from project to project and keeps getting sharper.

No account to start

Download, drop in an email, and the pre-configured workspace is ready. No credit card, no setup call, no sales motion.

Full app, not a demo

The trial is the real product: harnesses, evals, flow canvas and run history. Everything is included for ten days and fifty runs.

$15/ month

For a workspace that gets more useful every single week. Unlimited runs, every provider, all yours.

See Solo pricing

Built for teams

Your team's knowledge, in one place and under your control.

Share surfaces, skills, and reference runs across your team. Roles and access stay in your hands. Run history lives locally and backs up encrypted, so nothing leaves your machines that you did not send.

Shared workspaces

Surfaces, skills, and tool sets sync to the team. New members start with everything that already works.

Role-based access

Admins manage seats and access. Claim-link onboarding means the buyer never has to be a power user.

Org-wide visibility

See spend, success rates, and top skills across the org. The CFO view and the engineering view from one source.

Local-first by default

Conversations, keys, and run history stay in local SQLite. Only anonymous usage metrics ever leave the device.

Signed and notarized

Native builds for macOS, Windows, and Linux, signed and notarized for a clean install through IT.

Enterprise ready

White-label, SSO passthrough, managed update channels, and an SLA when you need procurement to say yes.

Enterprise and white-label

Ship Invoked as your own product.

Put your logo, colors, name, and domain on Invoked and hand it to your customers as a native workspace for your platform. Your API arrives already composed into surfaces, tools, and skills, so the people building on your platform start from working examples instead of a blank page and a PDF.

It’s the developer experience your customers wish every API shipped with, and the kind of transparency that earns trust: every tool call, trace, and result in plain view.

And we don’t disappear after the branding. We keep hosting the installer and the analytics, maintained and updated, so your team isn’t left running infrastructure. If you’d rather own either piece yourself, you can — the point is the choice is yours, not an obligation we hand off.

build.sendwave.io
Sendwave — a white-labeled Invoked workspace
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What white-label gives you

your brand, your customers
Your brand, end to end

Your logo, colors, app name, and custom domain. Customers see your product, with Invoked as the engine underneath.

Onboarding that lands

Ship your API pre-composed into surfaces, tools, and skills. New developers reach a working call in minutes, not after a week with the docs.

Transparency by default

Every tool call, trace, token count, and result is visible. Your customers can see exactly what ran, which builds the trust integrations usually lack.

A real distribution channel

A branded native app in your customers' hands keeps your platform one keystroke away, every day, not buried behind an integration backlog.

Managed and governed

SSO and SAML passthrough, managed update channels, role-based access, and an SLA. Built to clear procurement and security review.

Local-first for their data

Their runs, traces, and keys stay on their machines. You deliver the experience without becoming the custodian of their data.

We keep the lights on

White-label doesn't mean we hand you the keys and walk away. We host the installer and the analytics, and keep them running and updated. Prefer to self-host either one? You can — but the default is we carry the operational load, not you.

The Invoked Exchange

Browse what already works.

The Exchange is a public directory of surfaces and skills with real performance data: success rates, latency, and how many workspaces actually run them. Find a verified MCP server or a battle-tested skill, then bring it into your own workspace in one move.

GitHub

342 workspaces

Success

94%

P50

280ms

P95

1.1s

Runs

13K

Tools

5

Verified

97%

ROI

What does “agent-ready” cost without Invoked?

The first build is expensive. The real cost is everything after, because every API change starts another rebuild cycle. These estimates already assume your engineers are using AI copilots, which speeds the coding but not the weeks of architecture, prompt work, and integration testing.

What making one API agent-ready takes

per surface
Map API surface and design tool schemas(even with AI assistance)
2 to 4 hrs
Build a custom developer environment(AI speeds coding, not architecture)
3 to 5 days
Wire AI agent orchestration(prompt engineering plus integration testing)
2 to 3 days
Validate and iterate on tool behavior(real API calls, edge cases)
4 to 8 hrs
Total per API surface
~8 to 13 eng days
1
1 API20 APIs
$100/hr
$100$400

Your data never leaves your machine. Conversations, run history, and keys are stored locally in SQLite. Only anonymous usage metrics are sent to analytics.

vs. building it yourself with an AI coding agent

First build eliminated$5,040 (4.8 to 7.8 days)
Ongoing, each update cycle$800/yr saved
Total first-year value$5,840

Invoked Team, $25 a seat a month

At $100/hr, payback is 15 minutes of one engineer's time. Every month after is capacity back on the roadmap.

Get Team, $25/seat/mo →

Conservative estimate. Assumes engineers already use AI copilots, 60% utilisation because integration work is rarely one person's full focus, iteration savings of 4 hours per update cycle vs. a full rebuild, blended rate default $100/hr.

Pricing

Free to start, simple to scale.

Try the full app free. Pay when your team is ready to go unlimited.

Switch to annual and save up to 17%.
Trial
Free

10 days, 50 runs, no credit card.

  • Full native app for Mac, Windows, and Linux
  • Hugging Face workspace pre-configured
  • No API key required to start
  • Run history and full trace
  • Skills and prompt workspace
Download Free
Solo
$15/ month

Or $149 a year, two months free.

  • Everything in the trial
  • Unlimited runs
  • All 5 LLM providers
  • Full evals and model comparison
  • Agent harness canvas
  • Skill authoring and export
  • API and OpenAPI panel
Team
$25/ seat / month

Or $249 a seat a year, two months free.

3
$75/mo total
  • Everything in Solo
  • Shared workspaces
  • Team skill library
  • Config and credential sharing
  • Role-based access control
  • Org-wide analytics
  • Dedicated support
Enterprise
Custom

White-label Invoked under your brand and distribute it to your teams or customers.

  • Everything in Team
  • Your logo, colors, and app name
  • Custom domain deployment
  • Pre-configured surfaces and tools
  • SSO and SAML passthrough
  • Managed update channels
  • Dedicated support and SLA
Students & Educators

Solo is free for verified students and educators. Classes and clubs get 40% off a Team account.

Verify with your .edu
What counts as a run?

One agent execution, or one back-and-forth in chat that makes tool calls. Browsing the UI, editing skills, and reviewing run history do not count.

When does billing start?

The free trial gives you 10 days and 50 runs with no credit card and no API key required to start. Upgrade to Solo or Team when your team is ready for unlimited runs and full features.

Is my data sent anywhere?

Runs are stored locally in SQLite on your machine. Only anonymous usage metrics go to a privacy-preserving analytics service. No run content ever leaves your device.

FAQ

Questions, answered.

Invoked is a native desktop app for Mac, Windows, and Linux that turns any API into a fully-equipped AI agent environment in under a minute. It is MCP-native (Model Context Protocol) and local-first: your prompts, keys, and runs stay on your machine. You connect a surface (an MCP server or REST API), and Invoked gives you chat, an agent orchestrator, a visual harness builder, evals, and run history around it.
Invoked is free to try for 10 days or 50 runs, no credit card required. After that, Solo is $15 per month or $149 per year, and Team is $25 per seat per month or $249 per seat per year with a 3-seat minimum. Annual billing includes two months free on both Solo and Team.
You can use the full app free during the trial (10 days, 50 runs, no credit card). The public Invoked Exchange — the directory of MCP surfaces, skills, and tools — is completely free to browse and is hand-curated by developer advocates.
The Invoked Exchange is a free, hand-curated public directory of MCP surfaces, agent skills, and tools, each with real-world performance data. You can search it, add resources to a loadout, and invoke them straight into your workspace with one click using the "Invoke Me" action.
Yes. Invoked is bring-your-own-key and provider-agnostic. It works with Anthropic Claude, OpenAI, and other providers, so you can switch the model powering Chat and the Agent Orchestrator without changing your tools or code.
Yes. Invoked is local-first — your prompts, API keys, and run history stay on your device. Secrets are stored in your operating system keychain. Optional community performance metrics are anonymous and opt-in: they never include your prompts, data, keys, or which exact tools you run.
Yes. The Team plan adds role-based access, claim-link onboarding (the buyer does not have to be a power user), shared skills and surfaces, and workspace-scoped stats. Teams are the primary way organizations adopt Invoked.
Invoked ships as a native desktop app for macOS (Apple Silicon and Intel), Windows, and Linux (.deb and .AppImage). There is nothing to host and no server to run.

Get started with Invoked

Connect your own keys, build your own skills, and run agents on your own data. Free 10-day trial, no credit card, no account required.

Download for macOSApple Silicon & Intel · .dmg

Available for macOS (Apple Silicon & Intel), Windows, and Linux.