Vida
Summary
Most AI assistants wait for you to ask — and by the time you finish typing, you've already done the thinking. Vida is built on the opposite premise: it reads your context and acts before the request is formed.
Vida positions itself as a proactive agent that monitors your open files, chats, and calendar to surface what you need before you ask for it. The vendor describes a set of specific named use cases — reply drafting, prompt upgrading, workspace cleanup, daily summaries — each claimed as production-grade. The credit-based model means heavy scheduled-task users will hit a ceiling on the free tier and need to weigh paid access. There is no API and no self-hosted option, so teams that require data to stay on-premise or need programmatic control over the agent's actions have no path forward. The memory and preference tracking across projects is the feature that differentiates it, but the depth of that memory is not documented with specifics on the vendor page.
Bottom line: Pick Vida if you want a desktop-level agent that handles daily wrap-ups, prompt cleanup, and context retrieval without configuration — but if your team needs API access, self-hosting, or audit trails for compliance, this architecture will not bend to fit.
Pricing Plans
Subscription- Free Tier
- Standard mode, basic chat, lightweight tasks, up to 2 scheduled tasks
Basic
Standard mode, basic chat, lightweight tasks, up to 2 scheduled tasks
- Standard mode
- Basic chat
- Lightweight tasks
- Up to 2 scheduled tasks
Pro
Ultra mode, 500 credits, advanced model, memory, proactive help, unlimited tasks
- Ultra mode
- 500 Credits
- Ultra model
- Global long-term memory
- Proactive assistance
- Unlimited scheduled tasks
View full pricing on vida.app →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Proactive context reading from open files and chats, so the agent surfaces a drafted reply or flagged issue before you've stopped to think about asking — eliminating the prompt-writing step entirely for common reactive tasks.
- Named, numbered use cases with explicit 'SOTA achieved' markers, which means you can verify in advance whether the specific workflow you need is within the tool's claimed scope rather than discovering the gap after onboarding.
- Scheduled task automation for recurring outputs like weekly updates and daily summaries, so reports that previously required an hour of manual assembly are generated from calendar and notes without intervention.
- Memory and preference tracking across projects, which means the agent accumulates context over time and the outputs for your second project benefit from what it learned during the first — avoiding the cold-start problem that resets every session in stateless tools.
- Prompt upgrade capability that rewrites rough input into a production-grade prompt before the underlying model sees it, so inconsistent output quality caused by poorly formed queries is intercepted before it becomes your problem.
Cons
Sign in to edit- No API is available, so any team that needs to trigger Vida's agent actions from an external system, pipe outputs into a data pipeline, or build Vida into a product cannot — the tool is locked to its own interface and teams needing programmatic control switch to agent frameworks with exposed APIs.
- No self-hosted option exists, which means all context the agent reads — Slack threads, documents, files — is processed on vendor infrastructure. Teams operating under data residency requirements or internal security policies that prohibit third-party processing of work documents have no configuration path to make this compliant, and they move to on-premise alternatives.
- The credit-based model gates complex and scheduled task execution, so workflows designed around high-frequency automation will exhaust free-tier credits and the per-task cost on paid tiers needs to be modeled against volume before the tool is embedded in any recurring production process.
- The depth and persistence boundaries of the memory system are not documented on the vendor page — there are no stated limits on what is retained, for how long, or across how many projects — which means teams building memory-dependent workflows are accepting an undocumented constraint that could change without warning.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-05T08:01:09.386Z
Best For
Who it's for
- Users needing proactive AI assistance
- Research and project management
- Memory-retaining workflows
- Credit-based complex task execution
What it does well
- Deep research and project work
- Document, slides, and sheet generation
- Image generation
- Scheduled task automation
- Preference and habit tracking across projects
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Frequently Asked Questions
- Is Vida free?
- Vida has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Vida open source?
- No — Vida is a closed-source tool. Source code is not publicly available.
- What platforms does Vida support?
- Vida is available on: Web.
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Curated lists that include this category
The majority of AI tools still wait for a well-formed question. Vida, built by Einsia AI Technology, is architected to invert that — the vendor describes it as a proactive agent that reads open context (Slack threads, documents, files, calendar) and generates outputs before you’ve made a formal request. Core workflows span reply drafting from live conversation context, automatic upgrade of rough prompts into polished versions, file and desktop organization into structured previews, lead research before sales calls, and daily achievement summaries pulled from calendar and notes. The agent runs tasks on a credit-based system and supports scheduled automation, meaning recurring tasks like weekly update generation can be triggered without manual initiation.
The clearest differentiator is context persistence and proactive triggering. Where most agents respond to explicit queries, Vida the vendor claims the agent detects intent from ambient signals — an open Slack chat, a pitch deck on screen, a messy folder — and acts without being asked. The ‘SOTA use cases’ framing (100 named, numbered workflows) is the vendor’s public benchmark, with each use case marked when the team considers it production-ready. This gives you a concrete, versioned list of what the tool is actually scoped to do, which is more honest than most category pages.
Vida fits individual contributors and small teams who want a personal productivity layer — researchers, PMs, founders — where the agent’s memory of past projects and preferences compounds value over time. It does not fit teams that need to integrate the agent into existing tooling via API, require the agent to run on internal infrastructure for data governance reasons, or need to extend its behavior programmatically. There is no API documented on the vendor page and no self-hosted deployment path, which closes the door on enterprise environments with standard compliance requirements. The credit model also means the economics of high-volume automated tasks need to be evaluated before committing a team workflow to it.