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discode.ai vs Teya

discode.ai and Teya are both personal assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

discode.ai

discode.ai

Discode routes your queries across 100+ models automatically, selecting based on task type, cost, and environmental footprint — the vendor describes this as a daily benchmarking and review process baked into the selection logic. The on-device PII detection layer flags sensitive data before it leaves your machine, letting you decide what gets anonymized and what goes through. The multi-model cross-check feature runs your query against several independent models when accuracy matters. The ceiling appears when you need API access, self-hosting, or agent-style task automation — none of those are available. Teams building production pipelines will hit that wall fast.

Teya

Teya

Teya is an open-source, Android-based home agent that listens, holds context across conversations, and acts across apps — running on a spare phone mounted on a wall. There is no cloud subscription, no hosted API, and no vendor to call when it stops working: you own the stack. The README describes skills, a memory layer, and the ability to coordinate family schedules rather than just execute one-off commands. That self-contained architecture is also the ceiling — setup requires Android build tooling, and any skill that doesn't exist yet is yours to write. Families comfortable with a Gradle build and a spare Android device will find this fits a gap no commercial product fills; families who are not will hit a wall before the first reminder fires.

Attributediscode.aiTeya
PricingPaidFree
Price€9.99/month
Free trialNoNo
Open sourceNoYes
Has APINoNo
Self-hosted optionNoYes
PlatformsWebAndroid 8.0+
Pros
  • Auto-selects from 100+ models based on task, cost, and CO₂ footprint, so you stop manually deciding which model to open for every query and stop paying for premium models on tasks a lighter one handles fine.
  • On-device PII detection flags sensitive data before transmission and lets you anonymize it selectively, so queries about employees, clients, or contracts do not leave your machine unfiltered — a gap that plain model frontends leave wide open.
  • Multi-model cross-checking runs independent models against each other when accuracy is non-negotiable, so you get a confidence signal on high-stakes answers instead of finding out the answer was wrong after you acted on it.
  • Per-answer cost and CO₂ display makes AI usage auditable, so teams tracking spend or sustainability commitments have a record rather than a guess.
  • Single interface across providers means you are not managing separate logins, billing accounts, and context windows for each model — one subscription covers the routing layer.
  • Persistent household memory across conversations, so the agent knows that Tuesday means football pickup without being re-briefed every week — which is the specific failure mode of every commercial smart speaker.
  • Fully self-hosted on a spare Android phone with no cloud dependency, which means household calendar data does not leave your network and the agent does not stop working when a vendor's pricing changes.
  • Apache-2.0 licensed with a configurable model layer per THIRD_PARTY_MODELS.md, so swapping the underlying LLM is a configuration change rather than a platform migration.
  • Skills architecture described in the repo allows the agent's capabilities to grow, so a household that starts with reminders can extend to home-control tasks without replacing the platform.
  • Zero infrastructure cost beyond the Android device, so there is no monthly bill eroding the case for keeping it running long-term.
Cons
  • No API is available, so any team that needs to call model selection from their own application, automate a pipeline, or integrate with a codebase hits a hard stop — they move to a provider like OpenRouter or a self-hosted router that exposes an API endpoint.
  • No self-hosted or local deployment option exists, which means the platform's privacy guarantees stop at the on-device PII detection layer — the model calls themselves still go to third-party providers' infrastructure, and teams under strict data residency requirements cannot close that gap.
  • The tool has no agent or task automation capability: it is a chat interface, not a system that runs tasks on its own. Teams whose second project involves multi-step automation, tool use, or background jobs will need a separate platform from the start, running two systems in parallel rather than one that scales with them.
  • Setup requires Android build tooling and Gradle configuration — there is no APK download or one-tap install described in the README. Any household member who is not the person who built it cannot recover from a broken state, which means a single point of failure sits between the family and their morning reminders.
  • Any capability the agent does not already have requires writing a new skill, which means extending Teya for a genuinely new use case — say, integrating a specific calendar API or a home-automation system — puts you in the position of maintaining a fork. When that maintenance burden compounds across two or three extensions, teams move to a platform with a plugin marketplace rather than a skills directory they authored themselves.
  • No API surface is available, per the project page, which means Teya cannot be called programmatically from other household tools or automation scripts. Households that want bidirectional integration with an existing Home Assistant setup or a third-party calendar service hit a dead end and either build a custom bridge or switch to a platform that exposes an API.
Bottom line

Discode.ai is paid while Teya is free; Teya is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between discode.ai and Teya?

discode.ai is Paid, while Teya is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is discode.ai better than Teya?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

discode.ai vs Teya: which should I pick?

Pick discode.ai if its pricing model, openness, or platform fit matches your constraints; pick Teya otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.