Alma by Olivares.AI vs HeyChat

Alma by Olivares.AI and HeyChat 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.

Alma by Olivares.AI

Alma, built by Olivares.AI, addresses that amnesia by pairing an AI assistant with persistent episodic memory that carries learned patterns, project context, and style preferences across sessions. The core workflow bundles text, image, video, and music generation under a single budget, so multi-modal creative projects don't require juggling five separate tool subscriptions. Background agents handle scheduled tasks — monitoring, reports, research — without you staying at the keyboard. The integration story extends to developer tools like Cursor, VSCode, and any MCP-compatible client, letting teams share a memory layer across their existing stack. Where it gets harder: teams needing on-premise data control find no self-hosted path, and the free tier gates most memory and agent features behind paid access.

HeyChat

HeyChat is an open-source desktop chat client built on Tauri v2, React, and TypeScript. It handles real-time streaming conversations across Google Gemini, OpenAI, Groq, Anthropic, Ollama, and any OpenAI-compatible endpoint, with chat history stored locally in SQLite. The keychain-backed credential storage means your API keys never sit in a dotfile. Where it breaks: this is a chat interface, not a workflow builder — there are no tool calls, no agents running tasks on their own, no branching logic. Teams that need anything beyond a multi-provider chat window will hit that ceiling fast.

Attribute	Alma by Olivares.AI	HeyChat
Pricing	Paid	Free
Price	$14/mo	—
Free trial	14 days	No
Open source	No	Yes
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	Web app, VSCode extension, MCP server, REST API	Linux, macOS, Windows
Released	2025	—
Pros	Persistent episodic memory carries project context, learned patterns, and style preferences across sessions, so you stop re-explaining your workflow every time you open a new chat. Multi-modal generation (image, video, music) under a unified budget, which means creative projects don't require maintaining separate subscriptions and billing accounts for each medium. Background agents execute scheduled research, monitoring, and reporting tasks autonomously, so recurring work runs without you initiating each cycle manually. MCP-compatible API exposes the memory layer to Cursor, VSCode, and other developer tools, which means persistent context moves with you across your existing stack instead of staying siloed in a chat interface. BYOK integration lets developers route through their own API keys, so teams with high volume can cap costs at the provider level rather than absorbing per-seat markup.	API keys stored in the OS native keychain rather than plain-text files, so a leaked dotfile or accidental repo push does not expose your credentials. Provider-agnostic design covering Google Gemini, OpenAI, Groq, Anthropic, Ollama, and any OpenAI-compatible endpoint, so switching from a cloud model to a local one when costs or privacy requirements shift is a sidebar toggle rather than a reinstall. Local SQLite persistence for chat history, which means your conversation records stay on your machine and are not logged on a vendor's server. Real-time response streaming across all supported providers, so you read output as it generates rather than waiting for a full completion round-trip.
Cons	No self-hosted deployment option exists — teams subject to data residency requirements or internal compliance mandates cannot keep data on their own infrastructure, and this is the condition under which they switch to an open-source alternative like Open WebUI or a self-managed LangChain stack. Advanced memory features and autonomous agent scheduling are gated behind paid tiers, so free-tier users hit the feature ceiling before they can evaluate whether the memory system actually fits their production workflow. The memory and style-learning system requires sustained use across multiple sessions to accumulate useful context — teams expecting useful personalization from day one will find the first few sessions feel like any other stateless assistant.	No tool-use, function calling, or agent loops of any kind — the moment a team needs a model to fetch data, run code, or chain steps without a human typing each prompt, HeyChat offers nothing and teams move to a tool like Open WebUI or a workflow builder that exposes those primitives. No API surface and no programmatic trigger, so the app cannot be embedded in a pipeline, called from a script, or integrated with external automation; teams that need HeyChat's output to feed into another system have no supported path and typically abandon it for a client that exposes an API or plugin interface. A small contributor base and 16-commit history at curation means production bugs may sit unresolved for extended periods, and teams running this in a shared or organizational context carry the maintenance burden themselves under the MIT license.

Bottom line

Alma by Olivares.AI is paid while HeyChat is free; HeyChat is open source; only Alma by Olivares.AI exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Alma by Olivares.AI and HeyChat?

Alma by Olivares.AI is Paid, while HeyChat is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Alma by Olivares.AI better than HeyChat?

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.