ami vs Cybara

ami and Cybara are both ai agent apps 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.

ami

Ami builds a context graph in SQLite and markdown on disk — tracking entities, relationships, your past decisions, and your writing style — so the agent gets less hand-holdy the more you use it. It maintains a live to-do list and executes recurring busy work by learning how you handle tasks, not by following a static playbook. The self-hosting story is real: no data leaves your machine, no org-level sharing. Where it breaks is scale and surface area — the repo has 3 commits and 4 stars at time of writing, which means production edge cases are yours to discover and debug, not documented anywhere. Teams that need multi-user workflows, audit logs, or a managed API surface will hit the ceiling fast.

Cybara

Cybara is a fully open-source, MIT-licensed agent runtime you run entirely on your own hardware, with no required account, no telemetry, and no cloud dependency. The vendor describes 50+ model providers, 80+ built-in tools, and 25+ messaging channels available out of the box — a surface area that takes serious effort to configure correctly before it pays off. The operator controls are the genuine differentiator: per-session tool allowlists, filesystem checkpoints, spend caps, and approval gates mean agents don't act without your sign-off. The breadth is also the trap — teams starting with a single use case will spend time disabling or routing around features that don't apply to them. Where it earns its complexity is multi-channel deployments or on-chain automation where the alternative is building that policy layer from scratch.

Attribute	ami	Cybara
Pricing	Free	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	No
Self-hosted option	Yes	Yes
Platforms	Local machine (Node.js)	macOS, Windows, Linux, Web, iOS, Android
Pros	Fully local execution with data stored under ~/.ami/ in SQLite and markdown, so your credentials and task history never leave your machine — which means you can connect personal tokens to internal tools without authorizing a third-party cloud service. Context graph memory that tracks entities, relationships, decisions, and writing style across sessions, so the agent improves its accuracy on your specific tasks over time rather than treating every run as a cold start. MIT license with self-hosted deployment, so you own the full stack and can audit, fork, or extend any part of the system without a vendor relationship gating you. Workflow learning from observation rather than manual configuration, so you avoid the setup tax of explicitly scripting every automation — the agent encodes patterns from how you already work.	100% self-hosted with no required account or telemetry, so data never leaves your infrastructure — which means compliance environments that block third-party agent runtimes stay viable. Per-session and persistent tool allowlists paired with approval gates, so agents cannot execute filesystem writes or external calls you haven't explicitly signed off on — teams that have been burned by runaway automation don't have to build that guardrail layer themselves. Multi-key credential pools with rate-limit rotation, spend caps, and circuit breakers, so a single provider hitting its limit doesn't stall a production workflow — the router falls back automatically rather than failing silently. MCP support in both directions — Cybara consumes external MCP servers as tools and exposes its own tools to other MCP clients — which means you're not locked into a proprietary integration model when your stack changes. Agents codify verified multi-step procedures as skills that reload on every future session, so repetitive multi-step tasks stop requiring re-prompting and the agent's effective capability grows with use.
Cons	The project has 3 commits and 4 stars at the time the source page was scraped, which means production edge cases, integration failures, and memory corruption scenarios have no community documentation and no issue tracker history to search — you are debugging from scratch. No API surface is exposed, so any team or tool that needs to call the agent programmatically or integrate it into a pipeline hits a hard wall immediately; teams with that requirement move to an agent framework that exposes an API endpoint. Memory and state are scoped to a single local user under ~/.ami/, with no mechanism described for shared state or multi-user coordination — teams that need a shared task queue or collaborative agent context have to abandon Ami for a hosted alternative before the second team member needs access.	The configuration surface is wide by design, and a team standing up a first deployment — model providers, credential pools, tool allowlists, channel policies, wallet caps — faces a setup overhead that a narrow single-use-case prototype doesn't justify. Teams that need something running in an afternoon switch to a managed hosted platform and accept the data-residency trade-off. There is no hosted or cloud fallback: if your infrastructure goes down, your agents go down. Teams running uptime-sensitive customer-facing agents who don't want to own the SRE burden for the runtime itself will find this architecture unsustainable and move to a vendor-managed solution. The on-chain wallet features (ETH, BTC, SOL) and desktop computer-use automation require careful policy configuration before they are safe to run in a shared environment — the docs describe policy caps and SSRF protection, but misconfigured allowlists on a multi-user deployment expose real execution risk that a managed platform would gate behind their own controls.

Bottom line

ami and Cybara are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between ami and Cybara?

ami is Free and open source, while Cybara is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is ami better than Cybara?

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.

ami vs Cybara: which should I pick?

Pick ami if its pricing model, openness, or platform fit matches your constraints; pick Cybara 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.