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Rank #2 of 9 in Software Factory

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Omnara

Open SourceYC S25 Built-in AI assistant

Omnara

omnara.com ↗Try it →
PA Score41/100AGENT-READY45/100BUILT-IN AI50/100API38/100
MCP✓CLI✓API✓
★ 2.8k▲ 2.4k/yrnpm 264/wk
ArenasSoftware Factory#2/9

Access

Open app ↗API docs ↗CLI docs ↗

Install

npmnpx omnara login
npmnpm install @omnara/sdk

Compare head-to-head

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Alternatives to Omnara →

Try itExperimental

See what an agent can do with Omnara before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; commands tagged live-capable can re-run against the real endpoint from our edge, right now (▶ run live — the exact same request, live and recorded lines always labeled); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -s https://docs.omnara.com/introduction.md | head -6recorded session — replayed, not live
recorded 2026-09-10 · exit 0 · captured verbatim by our probe harness, secrets redacted · pure-HTTP probe — ▶ run live re-runs it from our edge

Verified integrations

No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.

By theme — the product's score on each story themeBy theme

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

45.4/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

0.0/100

Autonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionAutonomous implementationevidence →

End-to-end implementation by the agent — multi-file changes, task completion

22.0/100

Human oversight — keeping a human in the loop — approvals, checkpoints, interruptsHuman oversightevidence →

Keeping a human in the loop — approvals, checkpoints, interrupts

48.6/100

Intent to spec — stories about intent to spec in this arenaIntent to specevidence →

Stories about intent to spec in this arena

12.9/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

63.0/100

Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limitsevidence →

Free-tier ceilings, usage caps, and rate limits before you have to pay

26.7/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

4.0/100

Repo integration — stories about repo integration in this arenaRepo integrationevidence →

Stories about repo integration in this arena

9.2/100

Review quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gatesevidence →

Quality gates on changes — review flow, required checks, merge protection

0.0/100

Scale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelismevidence →

Running many jobs at once — concurrency, fleets, queueing

35.1/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 7 free · 1 paid · 0 enterprise · 29 not stated in evidence

?

Sorted by importance (agentic first) (high → low) · 73/73 stories · click a row’s chevron for the rationale and evidence

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10X

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full7/10C

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full9/10T

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10C

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10C

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10C

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial4/10T

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1n/auntestednone yet

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3fullfree8/10C

Watch what a running agent is doing in real time, including its current status C

Visibility monitoring

developerHuman oversight — keeping a human in the loop — approvals, checkpoints, interruptsHuman oversight3full8/10X

Set tiered autonomy levels controlling what an agent can do without manual confirmation C

Approval controls

engineering-leadHuman oversight — keeping a human in the loop — approvals, checkpoints, interruptsHuman oversight3partial6/10C

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partialfree5/10C

Run many agent tasks concurrently to scale delivery throughput C

Concurrent execution

engineering-leadScale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism3partial5/10C

Review and approve an agent's implementation plan before any code changes are made C

Plan approval

developerIntent to spec — stories about intent to spec in this arenaIntent to spec3partial4/10X

Add a context file describing my codebase conventions so agents generate more relevant plans and code C

Knowledge context

developerRepo integration — stories about repo integration in this arenaRepo integration3partial3/10C

Have an agent implement a requested feature end-to-end, including writing tests C

End to end feature delivery

developerAutonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionAutonomous implementation3partial3/10X

Assign a coding task to an agent directly from an existing issue or ticket C

Ticket driven tasking

developerIntent to spec — stories about intent to spec in this arenaIntent to spec3none0/10

Connect a GitHub repository so an agent can access the code and open pull requests against it C

Version control integration

developerRepo integration — stories about repo integration in this arenaRepo integration3none0/10

Describe a feature or bug in plain language and have it automatically turned into a scoped implementation task C

Natural language task intake

developerIntent to spec — stories about intent to spec in this arenaIntent to spec3none0/10

Have an agent autonomously diagnose and fix a reported bug C

End to end feature delivery

developerAutonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionAutonomous implementation3none0/10

Have an agent safely execute code and install dependencies inside an isolated sandbox C

Sandbox execution

developerAutonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionAutonomous implementation3none0/10

Have every pull request automatically reviewed with AI-generated inline comments C

Pr review automation

engineering-leadReview quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gates3n/a0/10

Review a diff of an agent's changes and approve it before it becomes a pull request C

Diff review

developerReview quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gates3none0/10

Connect issue trackers like Jira, Linear, ClickUp, or Monday.com so agents can manage tickets directly C

Project management integration

product-managerRepo integration — stories about repo integration in this arenaRepo integration3noneuntestednone yet

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3noneuntestednone yet

Have failed CI workflows automatically diagnosed and fixed with a proposed pull request C

Ci remediation

engineering-leadReview quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gates3n/auntestednone yet

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Bring my own LLM or API key so agents run on the model of my choice C

Model flexibility

engineering-leadPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits2fullfree8/10C

Get notified when an agent completes a task or needs my input C

Visibility monitoring

developerHuman oversight — keeping a human in the loop — approvals, checkpoints, interruptsHuman oversight2full8/10X

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2fullfree8/10C

Send follow-up instructions to an active agent session to steer its work without restarting C

Interactive takeover

developerAutonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionAutonomous implementation2full8/10C

Take over an in-progress agent task in my editor, terminal, or browser to finish or redirect the work C

Interactive takeover

developerAutonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionAutonomous implementation2full8/10X

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2full7/10T

Self-host agent infrastructure locally, in containers, or on my own VMs C

Deployment flexibility

engineering-leadScale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism2fullfree7/10C

Configure an agent to auto-approve all its actions instead of confirming each one C

Approval controls

developerHuman oversight — keeping a human in the loop — approvals, checkpoints, interruptsHuman oversight2partial6/10C

Use a managed cloud offering to run agents without operating my own backend infrastructure C

Deployment flexibility

developerScale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism2partialpaid5/10T

Approve a task's scope and contract before an agent is allowed to modify the repository C

Plan approval

engineering-leadIntent to spec — stories about intent to spec in this arenaIntent to spec2partial4/10C

Attach a marked-up screenshot or mockup to a task so the agent implements the correct visual change C

Natural language task intake

developerIntent to spec — stories about intent to spec in this arenaIntent to spec2partial4/10C

Create agent sessions on behalf of other users in my organization C

Concurrent execution

engineering-leadScale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism2partial4/10C

Run an agent headlessly inside CI/CD pipelines and shell scripts C

Headless automation

developerScale parallelism — running many jobs at once — concurrency, fleets, queueingScale parallelism2partial4/10T

Tag an agent in a chat thread to discuss and delegate a bug or task C

Chat integration

developerRepo integration — stories about repo integration in this arenaRepo integration2partial4/10C

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2partialfree3/10X

Grant an agent access to my repositories with a one-click install, without complex setup C

Version control integration

developerRepo integration — stories about repo integration in this arenaRepo integration2disputed3/10D

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Configure an agent to automatically open a pull request when its task completes C

Diff review

developerReview quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gates2none0/10

Go from a mockup or design to a working implementation without an engineering handoff C

End to end feature delivery

product-managerAutonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionAutonomous implementation2none0/10

Have an agent automatically clone the repo, install dependencies, and configure its own working environment C

Environment setup

developerAutonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionAutonomous implementation2none0/10

Have each task prompt automatically routed to the most suitable underlying model C

Model control

ai-native userHuman oversight — keeping a human in the loop — approvals, checkpoints, interruptsHuman oversight2none0/10

License an enterprise deployment with SSO and commercial support for organization-wide rollout G

Enterprise licensing

engineering-leadPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits2none0/10

See and manage plan-based daily task and concurrency limits for agent workflows G

Usage quotas

engineering-leadPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits2none0/10

Trigger an agent from CI/CD pipelines to fix a broken build or failing test C

Ci remediation

developerReview quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gates2none0/10

Convert user feedback submissions into structured tasks with proposed scope C

Natural language task intake

product-managerIntent to spec — stories about intent to spec in this arenaIntent to spec2n/auntestednone yet

Have an agent automatically generate and run tests to validate its own code changes before proposing them C

End to end feature delivery

ai-native userAutonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionAutonomous implementation2n/auntestednone yet

Have incoming issues automatically triaged with severity suggested and routed to the right owner C

Pr review automation

ai-native userReview quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gates2n/auntestednone yet

Have security alerts automatically validated and remediated with an opened pull request C

Security remediation

engineering-leadReview quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gates2n/auntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2noneuntestednone yet

Run a readiness report that evaluates how ready my repository is for autonomous agents C

Readiness checks

engineering-leadReview quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gates2n/auntestednone yet

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2noneuntestednone yet

Approve key agent decisions from my phone while agents continue working C

Approval controls

product-managerHuman oversight — keeping a human in the loop — approvals, checkpoints, interruptsHuman oversight1full7/10X

Switch away from automatic model selection to a specific model of my choice C

Model control

engineering-leadHuman oversight — keeping a human in the loop — approvals, checkpoints, interruptsHuman oversight1partialfree5/10C

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1none0/10

Automatically fix failing agent-readiness criteria in my repository C

Readiness checks

engineering-leadReview quality gates — quality gates on changes — review flow, required checks, merge protectionReview quality gates1n/auntestednone yet

Query generated documentation for any public or private repository C

Knowledge context

developerRepo integration — stories about repo integration in this arenaRepo integration1n/auntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 45 stories with headroom

What would move Omnara’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Agenticness — how well agents can access and operate the productConnect an agent via an official MCP server

    nonemoves agent-readyimpact 45

    Omnara is a platform for launching and managing agents (not itself a coding agent), so the axis of exposing an official MCP server applies.

  2. Intent to spec — stories about intent to spec in this arenaAssign a coding task to an agent directly from an existing issue or ticket

    nonemoves PA Scoreimpact 30

    Missing: any documentation or demo of ticket/issue import, issue-linked task creation, or tracker integration triggering agent work.

  3. Automation depth — how much of the product can run unattendedDefine rules that trigger actions automatically on events

    nonemoves PA Scoreimpact 30

    Omnara's evidence covers agent launching, conversation persistence, MCP/tool connections, and human-in-the-loop approval gates, but nothing describes a rule engine or event-trigger system where users define conditions that automatically fire actions.

  4. Autonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionHave an agent autonomously diagnose and fix a reported bug

    nonemoves PA Scoreimpact 30

    Omnara's evidence describes it as an orchestration/remote-monitoring layer for launching, tracking, and approving agent sessions (YAML config, model connections, MCP tools, live following/correction) rather than an agent that itself performs autonomous bug diagnosis and code fixes; community comments frame it as a wrapper around external coding agents like Claude Code rather than an implementer of fixes.

  5. Repo integration — stories about repo integration in this arenaConnect a GitHub repository so an agent can access the code and open pull requests against it

    nonemoves PA Scoreimpact 30

    No vendor documentation describes connecting a GitHub repository so an agent can access code and open pull requests; the only concrete evidence is a community report of a GitHub OAuth connection failure (redirect_uri mismatch), with no confirmation that repo access or PR creation actually works.

  6. Intent to spec — stories about intent to spec in this arenaDescribe a feature or bug in plain language and have it automatically turned into a scoped implementation task

    nonemoves PA Scoreimpact 30

    Omnara's evidence describes launching, monitoring, and queuing tasks for coding agents (YAML configs, live progress, queueing next task, approvals) but nothing shows Omnara itself converting a plain-language feature/bug description into a scoped implementation task or spec — that logic would live in the underlying agent model, not in Omnara's own product surface.

  7. Review quality gates — quality gates on changes — review flow, required checks, merge protectionReview a diff of an agent's changes and approve it before it becomes a pull request

    nonemoves PA Scoreimpact 30

    Omnara's docs describe generic 'approve actions' and pause-for-input mechanisms, but there is no evidence of a diff-review UI or an approval gate specifically tied to turning agent changes into a pull request.

  8. Autonomous implementation — end-to-end implementation by the agent — multi-file changes, task completionHave an agent safely execute code and install dependencies inside an isolated sandbox

    nonemoves PA Scoreimpact 30

    Missing: any mention of sandbox/isolation architecture, dependency installation safety, or containerized execution environment.

Showing the top 8 of 45 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map8 surfaces · 38 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

Changelog docs22 stories

Quickstart docs15 stories

GitHub README13 stories

Hacker News10 stories

OpenAPI spec8 stories

Pricing docs8 stories

llms.txt6 stories

omnara.com4 stories

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$curl -s https://docs.omnara.com/introduction.md | head -6reproduced
$ curl -s https://docs.omnara.com/introduction.md | head -6
> ## Documentation Index
> Fetch the complete documentation index at: https://docs.omnara.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction
proves: Point an agent at llms.txt or agent-oriented docsrecorded 2026-09-10
$curl -sL https://docs.omnara.com/llms.txt | head -6reproduced
$ curl -sL https://docs.omnara.com/llms.txt | head -6
# Omnara

- [Introduction](https://docs.omnara.com/introduction.md): The API for Production-Grade Agents
- [Quickstart](https://docs.omnara.com/quickstart.md): Define an agent config, grant the resources, and launch an agent with the dashboard, the CLI, the REST API, or the TypeScript SDK
- [Concepts](https://docs.omnara.com/concepts.md): [redacted] concepts to understand when using Omnara
- [Agents](https://docs.omnara.com/agents/overview.md): Launch agents, inspect them, cancel work, and archive
proves: Point an agent at llms.txt or agent-oriented docsrecorded 2026-09-10

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

6 of 15 testable claims verified · 0 contradicted → integrity 40/100

15 distinct capability claims found in Omnara’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

6

Verified

9

Unverified

0

Contradicted

22

Undersold

Verified (6)
Unverified (12)
Undersold (22)
Claims outside our story set (2)

Real capability claims found in Omnara’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

  • “Agents can be defined via a simple YAML configuration file”

    source ↗

  • “Skills package instructions and supporting files for recurring agent tasks”

    source ↗
Suggest a story for these →

Business model

open-sourcefree-tierusage-basedenterprise-custom

Free self-serve platform, no per-seat fees; pay model tokens at provider rates plus machine time ($0.0414/GiB-hour); self-host free under Apache-2.0; enterprise custom.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 10 '26 — no movement recorded yet
Agent-readytracked since Sep 10 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

This page as markdown/llms.txt

Data

Evidence (JSON)Verdicts (JSON)

Agent surface uptime llms.txt up · openapi.json up (tracking since Sep 11 '26)