Anse
A free, open-source desktop chat client that runs your own OpenAI, Azure OpenAI, Google, and Replicate API keys from one window.
Pick Anse if you already pay for API access and want one local window for text and image work instead of a tab per provider. The per-provider temperature, top-p, top-k and Max History Message Size controls are the actual reason to bother — hosted chat UIs hide exactly those. The OpenAI base URL field and Azure endpoint plus deployment name fields mean you can point it at a proxy or your own Azure deployment, which ChatGPT's web app will never offer. Pass if managing keys and Azure endpoints feels like unpaid chores, or if your team needs shared workspaces — Anse has none, and alternatives like ChatGPT's team plans do.
Verified 15h ago · liveness 56/100 · cite: rightaichoice.com/tools/anse
- Developers who already hold OpenAI, Azure, Google or Replicate API keys
- Anyone who wants conversations stored locally rather than in a vendor cloud
- Users comparing outputs across providers from identical settings panes
- Tinkerers who want direct control over temperature, top-p, top-k and history size
- Users who don't want to obtain, paste and manage their own API keys
- Teams needing shared workspaces, roles or collaboration
- Non-technical buyers who want accounts and billing handled for them
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Skip Anse if you'd rather not obtain, paste and maintain four separate provider credentials, or if your team needs shared workspaces and roles built in.
Each provider bills you separately for tokens you spend in Anse, so a heavy month shows up as four invoices rather than one
Anse itself is a free, open-source download; your real cost is provider usage, which scales with token volume rather than seats. That suits a solo developer whose spend is naturally small, and it undercuts hosted per-seat subscriptions for one person — but a team of five comparing against a shared hosted plan will pay roughly the same token bill plus the cost of managing five sets of keys.
In short
Anse — A free, open-source desktop chat client that runs your own OpenAI, Azure OpenAI, Google, and Replicate API keys from one window. Best for Developers who already hold OpenAI, Azure, Google or Replicate API keys, Anyone who wants conversations stored locally rather than in a vendor cloud, Users comparing outputs across providers from identical settings panes. Free to use.
What people actually say about Anse — is it worth it?
We scanned public community sources for Anse on Jul 14, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Anse? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Unified chat interface across OpenAI, Azure OpenAI, Google and Replicate
- OpenAI provider with editable API key, base URL (default https://api.openai.com) and model field (gpt-4o default)
- Azure OpenAI provider with API key, endpoint and deployment name fields
- Google provider with API key, model field (gemini-pro default) and max output token control
- Replicate API token field for image generation
- Per-provider temperature and top-p controls
- Google-only top-k control
- Per-provider max tokens: 2048 for OpenAI and Azure, 10240 for Google
- Max History Message Size control per provider, default 5
- Conversation recents list for reopening past chats
- Local storage of conversations on your machine
- Open-source codebase published on GitHub
- Desktop app built on the Tauri framework
- Cross-platform builds for Windows, macOS and Linux
- "Request With Backend" toggle in General settings
About Anse
Anse is an open-source desktop chat client for people who already hold their own API keys. Instead of keeping one browser tab on OpenAI, another on Google and a third for image work, you paste your keys into a settings pane and talk to every provider from a single three-pane window: recents on the left, the conversation in the middle, and a per-provider settings panel on the right. The provider lineup is OpenAI (with an editable base URL and model field), Azure OpenAI (endpoint plus deployment name), Google (model field plus max output tokens) and Replicate for image generation. Anse puts on screen the parameters hosted chat apps tend to bury: temperature, top-p and top-k per provider, max tokens, Google's max output tokens, and a Max History Message Size control that decides how many earlier messages ride along with each request. The scrape shows defaults of gpt-4o for OpenAI and gemini-pro for Google, Max Tokens of 2048 for OpenAI and Azure, 10240 with Max Output Tokens of 1024 for Google, and a Max History Message Size of 5 everywhere. It runs on Windows, macOS and Linux, is built on the Tauri framework, and the source is public on GitHub. A "Request With Backend" toggle in General settings hints at server-side work down the line. There is also a system language setting, currently English. The audience is deliberately narrow: developers and tinkerers comfortable dropping in a Replicate token or configuring an Azure endpoint themselves. Against hosted assistants like ChatGPT, Claude or Gemini's own apps, Anse trades hand-holding for control — you supply and pay for every key, so there is no subscription and no account layer, but your conversations stay on your own machine and you get genuine per-provider tuning instead of one global temperature slider.
Behind the Verdict
Anse's appeal is narrow and real. If you already hold keys for OpenAI, Azure OpenAI, Google or Replicate, this app collapses four dashboards into one desktop window and puts the generation parameters in front of you rather than behind an "advanced" disclosure. Strengths: everything is configurable per provider. The OpenAI pane takes an API key, a base URL (defaulting to https://api.openai.com) and a model field (gpt-4o out of the box). The Azure pane takes an API key, an endpoint and a deployment name. The Google pane takes an API key, a model field (gemini-pro by default), Max Tokens at 10240 and a separate Max Output Tokens at 1024. Each has its own temperature and top-p, Google adds top-k, and each has a Max History Message Size of 5 by default — that last number is the one to raise first, because at 5 your long threads quietly lose their earlier context on every request. It is a Tauri desktop build with Windows, macOS and Linux targets and a public GitHub repo, so you can read the code before you trust it with a key. Conversations live on your machine, which is the whole point for anyone who does not want a vendor account sitting between them and the model. Weaknesses are the flip side of that design. You are the integrator: four separate credentials, an Azure endpoint and deployment name to look up, a Replicate token for image work. There is no account layer, so there is no billing reconciliation, no usage dashboard and no team sharing — costs land on your provider invoices, one per vendor. Model choice is whatever you type into a text field, not a browsable catalogue, so you need to know which model IDs exist. And the "Request With Backend" toggle is a switch with nothing documented behind it on the pages we reached, so do not buy on the promise of a server mode. Where it fits: solo developers, tinkerers and anyone comparing gpt-4o against gemini-pro on identical settings panes. Where it doesn't: non-technical users, teams needing roles or shared history, and anyone who wants a support contract.
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Real-world workflow fit
Concrete scenarios for the personas Anse actually fits — and what changes day-one when you adopt it.
You open Anse, paste your key into the OpenAI pane, keep the default base URL and gpt-4o model, and set temperature to 0.7 and top-p to 1.
Outcome: You have a local chat window with parameters you control, no subscription, and your transcript stays on your machine.
You fill in the Azure pane with your key, endpoint and deployment name, then raise Max History Message Size above the default 5 for a long debugging thread.
Outcome: You talk to your own Azure deployment from a desktop app without the OpenAI web UI standing in between.
You set the OpenAI pane to gpt-4o and the Google pane to gemini-pro, give Google temperature 0.4, top-p 0.95 and top-k 1, then drop a Replicate token in for image runs.
Outcome: Text comparisons across two providers and image generation happen in one window, with each provider's settings kept separate.
Use Cases
- Keep one local chat window for OpenAI, Azure OpenAI, Google and Replicate instead of switching between tabs
- Tune temperature, top-p, top-k and max tokens separately for each provider inside the same app
- Generate images through Replicate alongside your text conversations
- Point the OpenAI base URL field at a proxy or alternate endpoint instead of api.openai.com
- Raise Max History Message Size above the default 5 so long threads keep their earlier context
- Keep conversation data on your own machine rather than in a hosted account
- Compare gpt-4o and gemini-pro side by side before committing to one provider
Models Under the Hood
as of 2026-09-14
Limitations
- Anse is a client, not a service: every provider needs its own credentials — OpenAI, Azure OpenAI (endpoint plus deployment name), Google and Replicate — and you pay those providers directly for usage.
- The Max History Message Size defaults to 5 on every provider, so long conversations lose earlier context until you raise it.
- Model choice is whatever you type into a text field, with gpt-4o and gemini-pro shown as defaults rather than a browsable catalogue.
- The "Request With Backend" toggle has nothing documented behind it on the pages we reached.
- There is no team layer — no shared workspaces or roles — so collaboration happens outside the app.
as of 2026-10-17
Verification history
We have re-verified Anse 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Anse's pricing actually pencils out — and where peers do it cheaper.
Anse itself is a free, open-source download; your real cost is provider usage, which scales with token volume rather than seats. That suits a solo developer whose spend is naturally small, and it undercuts hosted per-seat subscriptions for one person — but a team of five comparing against a shared hosted plan will pay roughly the same token bill plus the cost of managing five sets of keys.
Setup time & first value
How long it actually takes to get something useful out of Anse — broken out by persona, not the marketing-page minute.
For a developer with keys already in hand, allow about 10 minutes: two minutes to download the Tauri build, then a few minutes per provider to paste the key and, for Azure, look up the endpoint and deployment name. Google and Replicate add a couple of minutes each. Anyone without existing API accounts should budget the signup time at each provider first.
Switching to or from Anse
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ChatGPT's web app: paste your OpenAI API key into the OpenAI pane, keep the default base URL, and you keep the same gpt-4o model
- →From an Azure OpenAI portal session: enter your endpoint, API key and deployment name in the Azure pane instead of the portal playground
- →From a Google AI Studio tab: paste the key into the Google pane with gemini-pro and carry over your max output token limit
- ↗To ChatGPT or Claude's hosted app: export your threads from local storage and rebuild them as hosted conversations, accepting one global temperature slider
- ↗To a hosted multi-model aggregator: reuse the same provider keys you already hold, losing the local-only storage that Anse gives you
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Anse”, and we withheld 6: 6 could not be judged, because “Anse” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Anse.
Official links
Tools that pair well with Anse
Common stack mates teams adopt alongside Anse, with the specific reason each pairing earns its keep.
LibreChat
LibreChat is a free, open-source AI chat platform that self-hosts Anthropic, OpenAI, Google, and local models in one interface.
Writingmate
Writingmate bundles 350+ chat, image, and video AI models behind one $19.99/month credit pool.
Overchat AI
Overchat AI bundles 50+ chat, image and video generation models behind one $14.99/mo login
Featured Head-to-Head Comparisons
Anse vs Gem
If your job is talent acquisition at a mid-market or enterprise, Gem's AI agents and all-in-one ATS/CRM will streamline hiring—its freemium tier lets you test. If you're a developer or AI enthusiast juggling multiple models and want offline privacy, Anse's free, open-source desktop app is the better fit. Choose based on whether you need recruiting automation or a multi-model playground.
Anse vs Poke Interaction Co
Choose Poke if you want an AI assistant that actively manages your email, calendar, and health data from within your messaging apps — ideal for reducing app-switching and automating daily tasks. Choose Anse if you prefer a local, privacy-focused desktop hub for multiple AI models, don't mind managing API keys, and want full control over your data without a subscription.
Anse vs The New Black
If your business is fashion design — creating apparel collections, tech packs, or virtual try-ons — The New Black is the obvious pick; it’s purpose-built and free to start. For power users who want a unified, privacy-focused desktop hub for multiple AI models (ChatGPT, Gemini, DALL-E, Stable Diffusion) with offline access and total control via API keys, Anse is unbeatable. There’s no overlap: one is a vertical tool for fashion, the other a horizontal interface.
Alternatives to Anse
View all
LibreChat
LibreChat is a free, open-source AI chat platform that self-hosts Anthropic, OpenAI, Google, and local models in one interface.
Writingmate
Writingmate bundles 350+ chat, image, and video AI models behind one $19.99/month credit pool.
Overchat AI
Overchat AI bundles 50+ chat, image and video generation models behind one $14.99/mo login
Frequently Asked Questions
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