Omnara is live · usage-based pricing · last verified 26 Oct 2026 · viability healthy
Omnara
Omnara is a stateful, open-source agent API for deploying durable AI agents on any model, machine, or cloud.
The $0 platform fee is the hook, but the durable event log and the approval-plus-audit trail are the real product. If your roadmap includes an unattended agent that has to survive a dead sandbox, weighing Omnara against four months of your own TypeScript is not a close call. Go in expecting to adopt a config-file workflow — and a young vendor whose catalog moves fast.
Verdict generatedVerified 4d ago · liveness 81/100 · cite: rightaichoice.com/tools/omnara
- Platform teams that need a durable agent API instead of four months of in-house TypeScript
- Engineering orgs deploying agents into their own product dashboard on any model or cloud
- Security-conscious companies that want the Apache 2.0 code self-hosted in their own VPC
- Teams needing Slack-based human approval plus an append-only audit trail for compliance
- Hobbyists prototyping one local chatbot — the control plane is overhead you don't need
- Teams whose orchestration already sits comfortably in LangGraph and doesn't need durability
- Buyers who want one vendor to own models, machines, cloud, and support
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Skip Omnara if you want a visual agent builder and a long pre-built integration marketplace rather than a config-file workflow driven through CLI, TypeScript SDK, or REST against your own model keys.
Omnara-managed machine runtime runs $0.0414 per GiB of memory per hour online — a 4 GiB machine active one hour a day is roughly $5 a month before storage.
Self-serve is unusually cheap for this category: $0 platform fee, no per-seat charges, and you only pay for Omnara-managed machines ($0.0414 per GiB memory per hour online) and tokens if you don't bring your own keys. That undercuts per-seat agent platforms and stands well below the salaries-plus-infra cost of the internal builds the vendor compares itself to. Enterprise bring-your-own-cloud and on-prem work is custom-quoted, so budget a sales conversation if you need SSO, audit-log setup,
In short
Omnara — Omnara is a stateful, open-source agent API for deploying durable AI agents on any model, machine, or cloud. Best for Platform teams that need a durable agent API instead of four months of in-house TypeScript, Engineering orgs deploying agents into their own product dashboard on any model or cloud, Security-conscious companies that want the Apache 2.0 code self-hosted in their own VPC. Priced by usage — see the pricing table.
What is Omnara?
Omnara — Omnara is a stateful, open-source agent API for deploying durable AI agents on any model, machine, or cloud. Best for Platform teams that need a durable agent API instead of four months of in-house TypeScript, Engineering orgs deploying agents into their own product dashboard on any model or cloud, Security-conscious companies that want the Apache 2.0 code self-hosted in their own VPC. Priced by usage — see the pricing table.
Omnara pitches itself as the open-source alternative to Claude Managed Agents: one API to deploy and run agents for your users and your team, on any model, any machine, any cloud. The build path is short — paste a prompt into your coding agent, or run `npx omnara agents launch --name "General agent" --source '{ … }'` from the CLI. The same control plane answers to the TypeScript SDK and cURL, and the code is Apache 2.0 for teams that want it inside their own VPC. The feature set is the unglamorous half of agents that teams end up writing themselves. State lives in a durable event log, so a failed LLM call or dead sandbox doesn't wipe the conversation — it resumes. Machines can be Omnara-managed, brought from your own Blaxel, Daytona, or Unikraft Cloud account, or a laptop/VM/container via the Omnara daemon, which dials outbound so there are no ports to open. Idle machines auto-sleep to stop runtime charges. Human approval is first class: tool policies pause risky calls for sign-off, and Slack approval buttons record the operator's name and the decision. Every turn and tool call lands in an append-only audit history, backed by role-based access control for teams, projects, people, and API keys, plus scoped encrypted secrets. Recent releases widened the surface: Slack, Discord, and GitHub integrations (GitHub agents fire on pull request open or mention, read diffs, comment, and submit reviews), shared memory stores with read or read-write access, four more bring-your-own sandbox providers (Tenki, Arker, boxd, CreateOS), and GPT-6 Sol and Luna plus Claude Opus 5.5 in the hosted catalog. Against fully managed platforms the trade is ownership over convenience; against LangGraph or a hand-rolled harness it's a config-driven workflow you adopt in exchange for skipping the plumbing.
Key features
- Define an agent once with model, tools, machines, and policies
- Durable event-log state resumes agents mid-task after failures
- Stateful REST API, TypeScript SDK, and CLI on one control plane
- Launch agents from the terminal with npx omnara agents launch
- Deploy agents by pasting a SKILL.md prompt into your coding agent
- Stream the agent timeline in real time from the dashboard or Slack
- Human-in-the-loop tool policies pause risky actions for approval
- Slack approval buttons record operator name and allow/deny decision
- Append-only, queryable audit history of every turn and tool call
- Role-based access control for teams, projects, people, and API keys
- Encrypted, scoped secrets for agent credentials
- Run on Omnara-managed machines, BYO sandbox, or the Omnara daemon
- Idle machines auto-sleep without compute burn while preserving data
- Bring your own model keys across OpenAI, Anthropic, OpenRouter, LiteLLM
- Shared memory stores with read or read-write access for agents
Behind the verdict
Pick Omnara when the agent has to outlive its process. Long-running SRE agents, overnight browser queues, Slack coding agents that need to come back after a retry — anything where losing the conversation mid-task costs real money. The durable event log plus idle machine sleep is the combination most teams rebuild badly on their own, and Omnara has already made the decisions for you. Who should pass: a team whose entire need is a single local chatbot, or whose orchestration happily lives in LangGraph today. Omnara doesn't replace your graph logic; it wraps it in a control plane, and if you don't need the plane you're buying a workflow you didn't ask for. Buyers who want one throat to choke across models, machines, and cloud should also look elsewhere, because Omnara deliberately spreads those across vendors. What we like in practice is the approval path. Tool policies pause risky calls, Slack buttons capture who approved, and the append-only log answers the security review question without a spreadsheet. For regulated or security-conscious orgs, self-hosting Apache 2.0 code in your own VPC matters more than any feature list. Where it bites: you're adopting a config-driven agent definition and a young, fast-moving ecosystem. Sandbox providers and integrations have churned quickly — Four arrived in one October release, which is great if you're flexible and annoying if you needed last quarter's setup page. The comparison buyers will make is Claude Managed Agents on one side and building in-house on the other. Managed gets you live faster but locks models, machines, cloud, data, and pricing to one vendor. In-house is yours to own and yours to maintain. Omnara sits between them and has to earn that middle spot with execution, not positioning. The other honest caveat is
Limitations
- Omnara is an open-source (Apache 2.0) managed agent platform and API for deploying durable agents on any model and any machine, rather than an AI model itself; models are configured per agent (the docs example references a provider config such as omnara-openrouter), and you can bring your own model keys (OpenAI, Anthropic, OpenRouter, LiteLLM or compatible endpoints) or use Omnara-managed models billed at provider token rates.
- The platform itself is free ($0 platform fee, no per-seat charges), while Omnara-managed machines are billed for active time and retention ($0.0414 per GiB of memory per hour online; $0.20016 per GiB per 30 days retained, with idle machines auto-sleeping to pause runtime charges).
- The live evidence does not name specific underlying model versions.
- Interaction is via dashboard, CLI, RPC/TypeScript SDK, and REST API; the evidence does not list native mobile or desktop applications.
as of 2026-10-09
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Is Omnara still active?
Omnara is live · usage-based pricing · last verified 26 Oct 2026 · viability healthy.
Viability score
How well maintained and how widely used is Omnara? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What's new in Omnara
Checked 4 days agoAcross the latest 5 updates: 2 feature updates, 2 changelog entries and 1 community discussion.
Omnara adds Tenki, Arker, boxd and CreateOS as sandbox providers
Four bring-your-own-account sandbox providers join the catalog, each with its own setup page plus a comparison overview.
Omnara examples deployable via coding agent; agents can launch from PR events
Examples are now agent.yaml plus SKILL.md files set up through the omnara CLI. GitHub agents launch on pull request open or mention, read diffs, comment and submit reviews.
Omnara adds Slack, Discord and GitHub integrations, memory stores, redesigned dashboard
Omnara shipped Slack, Discord and GitHub integrations, shared memory stores with read/read-write access, a redesigned dashboard, deployable example agents and four new sandbox providers.
GPT-6 Sol and Luna plus Claude Opus 5.5 in Omnara hosted catalog
Omnara's hosted machine catalog added GPT-6 Sol and Luna and Claude Opus 5.5 alongside more tools, giving hosted agents access to newer models.
The Harness Doesn't Matter
Kartik Sarangmath argues the agent harness is not the differentiator, using Pi as the reference case.
What do users say about Omnara?
What people actually say about Omnara — is it worth it?
Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Omnara— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Omnara 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed who it suits, pricing tiers, description, who should skip it, features, our verdict, integrations, summary
- — changed pricing page, limitations, models
- — changed who it suits, integrations, summary, description, pricing tiers, our verdict, who should skip it, features
- — changed our verdict, description, pricing tiers, summary, who it suits, who should skip it, integrations, features
- — changed pricing page, platforms, limitations
- — changed SSL certificate
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Omnara cost in 2026?
Omnara: Priced by usage — see the pricing table. Pricing last verified 26 Oct 2026.
Plans compared
Every published Omnara tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Self-serve | Usage-basedVendor: “$0 platform fee + pay-as-you-go” | usage | Engineering or platform teams with one to a few production agents that want a $0 platform fee, no per-seat charges, and the option to bring their own keys and machines.Adds: Starting tier: $0 platform fee, pay-as-you-go for Omnara-managed models at provider token rates and machines at $0.0414 per GiB memory per hour online plus $0.20016 per GiB per 30 days retained; BYO keys and machines are free. |
| Omnara for Startups | Credits (accepted startups) | — | — |
| Enterprise | Custom | quote | Regulated or larger orgs that need bring-your-own-cloud or on-prem deployment, SSO, audit-log setup, model fine-tuning on their own data, and a custom SLA.Adds: Adds deployment and maintenance on your cloud or on-prem, SSO with access controls and audit-log setup, model fine-tuning on your data, custom integrations and branding, security reviews, and custom SLAs with priority founder support. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Omnara's pricing actually pencils out — and where peers do it cheaper.
Self-serve is unusually cheap for this category: $0 platform fee, no per-seat charges, and you only pay for Omnara-managed machines ($0.0414 per GiB memory per hour online) and tokens if you don't bring your own keys. That undercuts per-seat agent platforms and stands well below the salaries-plus-infra cost of the internal builds the vendor compares itself to. Enterprise bring-your-own-cloud and on-prem work is custom-quoted, so budget a sales conversation if you need SSO, audit-log setup,
Has Omnara's pricing changed?
No plan price for Omnara has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Omnara?
Pick Omnara if you are Platform teams that need a durable agent API instead of four months of in-house TypeScript, Engineering orgs deploying agents into their own product dashboard on any model or cloud, Security-conscious companies that want the Apache 2.0 code self-hosted in their own VPC, Teams needing Slack-based human approval plus an append-only audit trail for compliance.
Look elsewhere if you are Hobbyists prototyping one local chatbot — the control plane is overhead you don't need, Teams whose orchestration already sits comfortably in LangGraph and doesn't need durability, Buyers who want one vendor to own models, machines, cloud, and support, Companies unwilling to adopt config-file-driven agent definitions.
Skip it if Skip Omnara if you want a visual agent builder and a long pre-built integration marketplace rather than a config-file workflow driven through CLI, TypeScript SDK, or REST against your own model keys.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Omnara actually fits — and what changes day-one when you adopt it.
Define a support-triage agent in a config, launch it via npx omnara agents launch with read-only access to the ticketing system, and require approval before it issues refunds.
Outcome: The agent runs in the product dashboard, refund requests pause for a Slack approval button, and every tool call lands in an append-only history the team can query during incidents.
Deploy an SRE agent with read-only AWS and code access, mention it in Slack when an alarm fires, and let it investigate the alarm and check the last release.
Outcome: First-response investigation happens without waking a human, and the agent's reasoning and commands are replayable step by step afterward.
Run an overnight browser agent that signs into internal web apps, pulls numbers from dashboards, and works through a form queue.
Outcome: Long-running work survives machine failures because the agent preserves state and resumes, and idle machines auto-sleep so runtime charges pause overnight rather than running all night.
Use cases
- Monitor AI coding agents in real time to catch unintended file modifications.
- Audit every command an autonomous agent executes during a codebase refactor.
- Set approval gates for high-risk actions like modifying production deployment configs.
- Replay an agent's session step by step to understand its reasoning after an incident.
- Integrate Omnara policies into CI/CD to auto-block PRs from agents that violate rules.
- Run long-lived support agents that triage tickets with human sign-off.
- Deploy an SRE agent with read-only AWS and code access as an on-call teammate.
- Run overnight browser agents that pull dashboard numbers and fill in forms.
Setup time & first value
How long it actually takes to get something useful out of Omnara — broken out by persona, not the marketing-page minute.
With the prompt-to-deploy path, paste omnara.com/SKILL.md into a coding agent, answer a few questions, and you have a running agent in under an hour. Hand-writing the config and wiring tools, secrets, and policies is an afternoon for one agent. Getting RBAC scoping, encrypted secrets, approval policies, and your own machines connected to the control plane is a multi-day platform task; enterprise
Switching to or from Omnara
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a hand-rolled internal agent platform: port session state and the event log to the Omnara control plane and keep your tools via MCP servers.
- →From Claude Managed Agents: keep your prompts and tools, move agent definitions into Omnara's config, and point model calls at your own API keys.
- →From a plain agent framework: wrap each graph or loop as an Omnara agent to gain durability, RBAC, secrets, and approval gates without rewriting the tools.
- →From scripts run on your own machines: connect those machines to the control plane instead of replacing them, so existing compute stays in use.
- ↗To self-hosted Omnara: same Apache 2.0 codebase in your own VPC, no data migration needed.
- ↗To another framework: agents and tools are defined in your config and MCP servers, which you can lift out.
- ↗To a closed managed platform: export agent definitions and audit history before rebuilding the approval flow there.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Omnara”, and we withheld 6: 6 could not be judged, because “Omnara” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Omnara.
Official links
What are the best Omnara alternatives?
The closest alternatives to Omnara we list are Letta, Versuno AI and YourMemory. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Letta | Freemium | Pricing not published | — |
| Versuno AI | Freemium | Pricing not published | — |
| YourMemory | Freemium | Pricing not published | — |
Alternatives to Omnara
View all
Letta
Letta builds stateful AI agents with persistent memory that survives sessions, model swaps, and machines.
Versuno AI
Open-source Postgres memory engine for AI agents that sends memory conflicts to a human instead of overwriting them.
YourMemory
Local-first persistent memory for AI agents with a forgetting curve, open source and MCP-compatible.
Tools that pair well with Omnara
Common stack mates teams adopt alongside Omnara, with the specific reason each pairing earns its keep.
Letta
Letta builds stateful AI agents with persistent memory that survives sessions, model swaps, and machines.
Versuno AI
Open-source Postgres memory engine for AI agents that sends memory conflicts to a human instead of overwriting them.
YourMemory
Local-first persistent memory for AI agents with a forgetting curve, open source and MCP-compatible.
Omnara vs its closest rival
Omnara's closest head-to-head is with Spider Cloud — If you need to feed web data into AI agents or RAG pipelines, choose Spider Cloud for its high-performance Rust engine, low cost, and flexible data connectors. If you instead need to oversee AI coding agents and ensure safe, auditable code changes, Omnara's live monitoring and policy engine are purpose-built. The two tools solve different problems entirely, so pick based on whether your bottleneck is getting web data or controlling AI-written code. Verdict generated
Head-to-head comparisons
Omnara vs Spider Cloud
If you need to feed web data into AI agents or RAG pipelines, choose Spider Cloud for its high-performance Rust engine, low cost, and flexible data connectors. If you instead need to oversee AI coding agents and ensure safe, auditable code changes, Omnara's live monitoring and policy engine are purpose-built. The two tools solve different problems entirely, so pick based on whether your bottleneck is getting web data or controlling AI-written code.
GeneratedOmnara vs Voyage Ai
If you need high-accuracy embedding models for enterprise RAG on specialized domains (finance, legal), Voyage AI is purpose-built with long-context and low-dimensional vectors. For teams wanting to safely delegate coding to AI agents with full visibility and control, Omnara’s live monitoring and policy engine is the clear choice. They serve fundamentally different needs—pick based on whether your bottleneck is retrieval accuracy or agent governance.
GeneratedOmnara vs Temporal Ai
If you are building reliable, durable AI agents or orchestrating multi-step workflows that must survive crashes, choose Temporal AI. If your primary need is to monitor, audit, and control AI coding agents in real time, Omnara is the better fit. Both offer freemium pricing, but serve fundamentally different use cases.
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