Cosine Genie
Cosine Genie is a coding agent built on the Lumen models, deployable fully air-gapped inside your own security perimeter.
If your stack is old, regulated, or architecturally tangled, Genie is worth a real trial — post-training for COBOL, Fortran, Verilog, and complex SQL plus genuinely air-gapped deployment is ground Copilot and Cursor don't cover. The 53.9% Niche-Bench figure on Lumen Outpost is a concrete number to hold it to. Watch the credit meter: agent work, model calls, and cloud execution all draw from the same pool, so a long autonomous migration can move your bill.
Verified 1d ago · liveness 76/100 · cite: rightaichoice.com/tools/cosine-genie
- Engineering teams maintaining long-lived production codebases where diff quality matters
- Organisations with COBOL, Fortran, Verilog, Rust or complex SQL in the stack
- Regulated and security-conscious teams needing single-tenant or fully air-gapped AI
- Developers who want a terminal-native CLI with MCP and multi-agent orchestration
- Anyone wanting one assistant for code plus writing, research and general Q&A
- Teams whose workflow depends on Slack, Jira or Notion connectors — none are documented
- Buyers who need frontier-scale reasoning today — Lumen Sovereign is still coming soon
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Skip Cosine Genie if you need one assistant covering code, writing and research, if you want frontier-scale reasoning today rather than a coming-soon tier, or if you need Slack, Jira or Notion connectors — none are documented.
Credits cover agent work, model calls and cloud execution together, so a long autonomous migration can push spend well past the headline $19/mo Starter, $199/mo Team or $999/mo Enterprise figure.
Three published tiers set the shape: Starter at $19/mo for solo developers and side projects with 4M credits/month, Team at $199/mo for growing teams at 47M credits/month, and Enterprise at $999/mo at 240M credits/month for highly regulated industries. Add-on credits get cheaper as you climb — $6.50, then $5.00, then $4.50 per 1M. It sits well above free or cheap generalist assistants, and below the cost of standing up your own sovereign model stack.
In short
Cosine Genie — Cosine Genie is a coding agent built on the Lumen models, deployable fully air-gapped inside your own security perimeter. Best for Engineering teams maintaining long-lived production codebases where diff quality matters, Organisations with COBOL, Fortran, Verilog, Rust or complex SQL in the stack, Regulated and security-conscious teams needing single-tenant or fully air-gapped AI. Plans from $19/mo.
What's new in Cosine Genie
Checked 8 days agoAcross the latest 2 updates: 2 news mentions.
Cosine announces partnership with Shift for sovereign AI operational resilience
Cosine partnered with Shift to apply sovereign AI to operational resilience. Details on scope and availability were not disclosed in the post index.
Cosine publishes practitioner's guide to sovereign AI for nations and critical organisations
Cosine released an engineering guide on building sovereign AI for nations and critical organisations, referencing its Lumen Sovereign line.
What people actually say about Cosine Genie — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
6 mentions across 1 source (YouTube) · researched Jul 31, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +Trained on production code, outputs feel more maintainable and practical.
- +Strong support for niche languages like COBOL, Fortran, and Verilog.
- +Terminal-native CLI with local-to-remote execution speeds up workflows.
- +AutoDoc 2.0 generates helpful documentation for legacy codebases.
- +Niche-Bench score of 59.3% beats GPT-5.5 and Kimi K2.6.
- −Lacks broad ecosystem integrations, forcing context switching for users.
- −Credit-based metering is opaque and can be expensive for heavy use.
- −Community feedback is sparse, making reliability hard to gauge.
- −Learning curve for CLI and MCP setup is steep for newcomers.
- −Frontier model still missing, so top performance is future promise.
- • Credit overages when exceeding monthly limits
- • Add-on credit packs can escalate costs for heavy use
Viability Score
How well maintained and how widely used is Cosine Genie? 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 →Key Features
- Lumen models trained exclusively on real production code, not the open web
- Lumen Outpost scores 53.9% on Niche-Bench, ahead of GPT-5.5 (47.4%)
- Lumen Scout post-trained from Devstral 123B, runs cheaply and on-device
- Lumen Outpost post-trained from Kimi K2.6 for production implementation
- Lumen Sovereign frontier reasoning tier marked coming soon
- Post-trained for COBOL, Fortran, Verilog, Rust and complex SQL
- Terminal-native CLI installed via Homebrew with local-to-remote execution
- External tool access via MCP (Model Context Protocol)
- Multi-agent orchestration for parallel coding tasks
- Cosine Cloud for parallel tasks and shared project planning
- Desktop app surface alongside CLI and Cloud
- Public cloud, managed single-tenant, or fully air-gapped deployment
- Published benchmarks: Niche-Bench, Vibe-Bench and Slop-Bench
- Skills, plugins, hooks, memory and modes for customising agent behaviour
- Instant Sites with custom domains for previewing work to stakeholders
About Cosine Genie
Cosine Genie is a coding agent for engineering teams running long-lived, production-grade systems in secure or regulated environments. It runs on Lumen, a model family trained exclusively on real production code rather than the open web, and judged on maintainability, readability, and diff quality. Three tiers cover the workflow: Lumen Scout, post-trained from Devstral 123B, handles the cheap, on-device busywork around the coding loop; Lumen Outpost, post-trained from Kimi K2.6, does everyday production implementation and scores 53.9% on Cosine's Niche-Bench, ahead of GPT-5.5 (47.4%), Kimi K2.6 (48.3%), and Gemini 3.1 Pro (44.9%); Lumen Sovereign, the frontier reasoning tier built in coalition with UK critical national infrastructure executives, is still marked coming soon. You work through three surfaces: a terminal-native CLI installed via Homebrew with a local-to-remote execution model, MCP tool access, and multi-agent orchestration; Cosine Cloud for parallel tasks with shared project planning; and a desktop app. Deployment is the real differentiator: public cloud, managed single-tenant with enterprise controls, or fully air-gapped inside your own perimeter, plus documented post-training for COBOL, Fortran, Verilog, Rust, and complex SQL. Cosine also publishes three benchmark families (Niche-Bench, Vibe-Bench, Slop-Bench) plus a cost-per-successful-task comparison. Against Copilot and Cursor, which remain general-purpose assistants that code well, Genie is positioned as the specialist that does one thing.
Behind the Verdict
Where Genie earns its keep is the codebase nobody wants to touch. Post-training for COBOL, Fortran, Verilog, Rust, and gnarly SQL is a specificity general models don't offer, and the air-gapped deployment option means regulated teams can actually adopt it. We'd reach for it when review cost and diff quality matter more than raw throughput. The Lumen model split is pragmatic. Scout is cheap and on-device for the retrieval-and-indexing chores; Outpost does the everyday implementation work and posts the 53.9% Niche-Bench score; Sovereign is still coming soon, so don't buy expecting frontier-scale reasoning today. Closest alternative is Cursor or Copilot — cheaper to start ($19/mo gets you into Genie's Starter tier) and fine for greenfield work, but they're generalists. Genie's specialism is the point. In practice the CLI is where most engineers will live, and MCP plus swarm mode reward teams who invest setup time. Where it bites: credits cover agent work, model calls, and cloud execution together, and add-on rates fall as you climb tiers ($6.50 per 1M on Starter, $5.00 on Team, $4.50 on Enterprise). A long autonomous refactor moves the bill fast. Pick it for legacy, regulated, or security-first engineering; pass on it if you want one assistant for code, email, and research.
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Real-world workflow fit
Concrete scenarios for the personas Cosine Genie actually fits — and what changes day-one when you adopt it.
Installs the CLI with `brew install CosineAI/tap/cos`, authenticates, and points Lumen Outpost at a Fortran module scheduled for a Rust rewrite, using swarm mode to run the translation and test generation as separate agents.
Outcome: Minimal-diff commits land on a branch with agent commits and a timeline view, so reviewers audit the change rather than reconstruct it from scratch.
Creates the task in Cosine Cloud, connects the GitHub repository, and runs parallel tasks across services while PMs and stakeholders follow progress in the shared project view.
Outcome: Multiple service migrations progress in parallel with pull requests merged from Cloud, and non-engineers can see status without a standup.
Scopes a fully air-gapped deployment so Cosine runs inside the internal perimeter, with MCP servers attached to query internal systems during coding and no traffic leaving the estate.
Outcome: The team gets agentic coding inside the security boundary, with deployment terms and support scoped directly with Cosine.
Use Cases
- Autonomously refactor a legacy codebase from Fortran to Rust with full test coverage.
- Generate minimal-diff PRs for code review, cutting dead code and duplication.
- Coordinate multiple agents via swarm mode to parallelize a large migration across microservices.
- Deploy a fully air-gapped instance for classified software development.
- Run long-running agent sessions on remote servers over SSH from the CLI.
- Collaborate across engineers, PMs, and stakeholders in Cosine Cloud shared projects.
- Attach MCP tool servers so the agent can query internal systems while coding.
- Publish an Instant Site with a custom domain to preview work for stakeholders.
Models Under the Hood
as of 2026-10-15
Limitations
- Cosine meters usage in credits that span agent work, model calls and cloud execution, so actual consumption depends on task size, model choice and runtime — a long autonomous migration can move the monthly bill materially.
- Add-on credits are always purchasable ($6.50 per 1M on Starter, $5.00 on Team, $4.50 on Enterprise), so running out isn't a blocker, but it does add cost.
- Lumen Sovereign, the frontier-reasoning tier, is still listed as coming soon (under Training).
- Enterprise and private deployment pricing is scoped with sales because infrastructure, support and security requirements vary.
- The documented integration surface is thin: GitHub is the only connector named in the vendor's own pages.
as of 2026-10-10
Verification history
We have re-verified Cosine Genie 21 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.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 21 verification passes.
Free to cite with attribution — this page re-verifies continuously.
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.
Plans compared
For each published Cosine Genie tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
$19/mo
Ideal for
Solo developers and side projects that want to try a specialist coding agent without a team commitment, metered at 4M credits/month.
What this tier adds
Starting tier: 4M credits/month at $19/mo with add-on top-ups at $6.50 per 1M credits.
Team
$199/mo
Ideal for
Growing engineering teams shipping at scale that have outgrown a solo credit allowance and need shared Cloud projects across engineers and PMs.
What this tier adds
Adds roughly 12x the monthly credits — 47M instead of 4M — at $199/mo, with cheaper add-ons at $5.00 per 1M.
Enterprise
$999/mo
Ideal for
Highly regulated organisations that prioritise data privacy and need managed single-tenant or fully air-gapped deployment scoped with sales.
What this tier adds
Raises the allowance to 240M credits/month at $999/mo and drops add-ons to $4.50 per 1M, with private and custom deployments negotiated separately.
Where the pricing makes sense
The company stage and team size where Cosine Genie's pricing actually pencils out — and where peers do it cheaper.
Three published tiers set the shape: Starter at $19/mo for solo developers and side projects with 4M credits/month, Team at $199/mo for growing teams at 47M credits/month, and Enterprise at $999/mo at 240M credits/month for highly regulated industries. Add-on credits get cheaper as you climb — $6.50, then $5.00, then $4.50 per 1M. It sits well above free or cheap generalist assistants, and below the cost of standing up your own sovereign model stack.
Setup time & first value
How long it actually takes to get something useful out of Cosine Genie — broken out by persona, not the marketing-page minute.
Solo developers on Starter: the CLI installs via a single Homebrew command and you can authenticate and run a first task in the same sitting. Team leads on Team: budget an afternoon to connect GitHub, create an environment and invite collaborators into a shared Cloud project. Enterprise and regulated buyers: expect a scoping cycle with sales before any code, since managed single-tenant and fully
Switching to or from Cosine Genie
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From GitHub Copilot: keep your editor habits, move the heavy multi-file work to the Cosine CLI while Copilot stays for inline completions.
- →From Cursor: move long migrations and multi-service changes into Cosine Cloud tasks so they run in parallel instead of serially in one editor session.
- →From an air-gapped self-hosted coding model: replace the local stack with a managed single-tenant or fully air-gapped Cosine deployment while keeping MCP tool servers you already run.
- →From manual legacy ports: point Lumen Outpost at COBOL, Fortran, Verilog or SQL modules and use swarm mode to split translation from test generation.
- ↗To GitHub Copilot: export agent commits and pull requests to GitHub, then hand in-editor work back to Copilot for teams that only need inline assistance.
- ↗To Cursor: move active coding back into the editor when you no longer need air-gapped deployment or multi-agent orchestration.
- ↗To a self-hosted open-model stack: take the repository and MCP server configuration with you when credit-based metering no longer fits your budget model.
- ↗To a generalist assistant: switch if your team needs code plus writing, research and Q&A in one surface rather than a coding specialist.
Integrations
Resources & Guides
- Documentationcosine.sh
Cosine Docs
Documentation for Cosine, the AI-powered software engineering agent.
- Documentationcosine.sh
Cosine Docs
Documentation for Cosine, the AI-powered software engineering agent.
- Conceptscosine.sh
Cosine Docs
Documentation for Cosine, the AI-powered software engineering agent.
- Documentationcosine.sh
Cosine Docs
Documentation for Cosine, the AI-powered software engineering agent.
- Quickstartcosine.sh
Cosine Docs
Documentation for Cosine, the AI-powered software engineering agent.
- Quickstartcosine.sh
Cosine Docs
Documentation for Cosine, the AI-powered software engineering agent.
- Documentationcosine.sh
Cosine Docs
Documentation for Cosine, the AI-powered software engineering agent.
Tutorials & Learning
Cosine Genieレビュー：最強のAIコーディングエージェントを徹底検証
TWiz
$$$ Unlocking the Power of Cosine Genie AI: Revolutionize Your Model Lab for $90K/M
WealthyMediaMakers
YouTube returned 6 videos for “Cosine Genie”, and we withheld 4: 4 did not mention Cosine Genie. Showing the 2 we can prove are about Cosine Genie.
Official links
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