Alma by Olivares.AI vs Myna

Alma by Olivares.AI and Myna 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.

Myna

Myna runs entirely inside Claude Code as a local-first agent layer — the vendor describes it as an AI Chief of Staff, covering meeting prep, inbox triage, project status tracking, escalation drafting, and retrieval of past decisions. The architecture the GitHub page documents is 12 agents and 31 skills, built autonomously by Claude Code itself. Nothing leaves your machine, which means it is a viable option for teams operating under data residency constraints where SaaS tools are ruled out before the demo ends. The ceiling appears quickly for teams who do not already live in Claude Code — this is not a standalone app or a web UI, it is a plugin layer, so anyone outside that workflow starts at zero setup cost before getting to zero productivity gain.

Attribute	Alma by Olivares.AI	Myna
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	—
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.	Fully local execution under MIT license, so teams with data residency requirements can use an AI assistant without routing calendar, email, or project data through a third-party server. Twelve agents covering meeting prep through escalation drafting operate autonomously inside Claude Code, so you are not manually triggering each step or maintaining a separate automation layer. Open-source codebase with MIT license, so a team that hits a capability gap can fork and extend rather than waiting on a vendor roadmap or paying for a feature tier. Self-hosted with no API dependency described, so there is no service outage or pricing change upstream that takes your workflow offline. Covers the full weekly overhead loop — briefings, inbox triage, status tracking, decision recall — inside one plugin layer, so context does not live across five disconnected tools that each require manual updates.
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.	Myna is a Claude Code plugin, not a standalone application — teams not already using Claude Code cannot reach any of the 31 skills without first adopting that environment, which is a non-trivial prerequisite for organizations running different dev toolchains. No API surface is described on the project page, which means teams that need to connect Myna to external systems programmatically — feeding it data from a project management tool or pushing its output to a dashboard — have no documented integration path and will need to extend the codebase themselves. With six stars and zero forks at the time the page was scraped, the community contribution base is thin — teams that depend on this for daily operations and hit a bug are largely dependent on the core maintainer's response cadence, which is the condition under which a team with production uptime requirements switches to a vendor-backed alternative with a support contract.

Bottom line

Alma by Olivares.AI is paid while Myna is free; Myna 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 Myna?

Alma by Olivares.AI is Paid, while Myna 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 Myna?

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.