Ellipsis
Also known as: ellipsis-dev, Ellipsis Agent Cloud
Cloud platform for coding agents defined as YAML in your repo, running Claude Code or Codex in isolated per session sandboxes with scoped credentials and hard spend caps, triggered by GitHub, Slack, Linear and Sentry events or cron, with every session recorded.
Ellipsis is a cloud platform for coding agents, built by Ellipsis AI Inc. in New York and backed by Y Combinator. Teams define each agent as a YAML file in a repository, declaring its trigger, the harness it runs (Anthropic's Claude Code or OpenAI's Codex), its model, prompt, environment, permissions and budget; the version on the default branch is live, branches preview it, and a merge deploys it.
Agents start on cron schedules or on GitHub pull request, push and issue events, Slack, Linear and Sentry events, or from an @ellipsis mention, the dashboard, the CLI or the REST API. Each session runs in its own isolated cloud sandbox with the repositories cloned in, and opens pull requests, posts reviews or answers in the thread that started it. Code review is one agent among them: a pull request trigger and a prompt saying what to look for.
The platform around the agent is the product. Each session's GitHub credential is minted at the permissions its agent declares and revoked at teardown, secrets are write only, and hard spend limits apply per session, agent, developer and account. Every session is recorded, with messages and tool calls visible live, transcripts downloadable and searchable, and cost tracked per session. Everything is scriptable through a REST API with Python and TypeScript SDKs and a CLI.
Ellipsis runs as a managed service or inside the customer's own AWS VPC, and is priced on usage: model tokens plus a 20% platform fee, and sandbox compute at cost, with no per seat fees.
Vendor details
Canonical URL
https://www.ellipsis.dev
Category
Coding agent
Subcategory
Cloud platform for coding agents, with AI code review
Funding status
Independent. Founded in 2024 by Nicholas Moy and James Murdza and backed by Y Combinator in the W24 batch, Ellipsis raised roughly two million dollars in seed funding. It reports use across more than twenty nine thousand codebases and by more than four hundred engineering teams, with named users including PromptLayer, Warp, and Onfleet.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
GitHub app with per session scoped tokens, pull request, push and issue triggers and @ellipsis mentions; Slack, Linear and Sentry integrations; each agent attaches MCP servers and secrets in its YAML. A REST API with a published OpenAPI specification, Python and TypeScript SDKs and a CLI start, stream, message and stop sessions and manage agents, environments, secrets and webhooks, and outbound webhooks report session events. Agents act by opening pull requests, posting reviews and answering in the thread or ticket that started them.
In practice
Pull request review has become the bottleneck. A code review agent on Ellipsis reviews every push to a non draft pull request and posts one review with comments on the lines it flags.
You want routine engineering chores handled on a schedule. Define an agent in one YAML file with a cron trigger, a model and a session budget, merge it, and it opens a pull request on each run while you watch its session record.
Your security team will not let agent code or LLM calls leave your cloud. The Your AWS Account offering runs the Ellipsis control plane and sandboxes in your own AWS VPC with the same agents and configs.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
10.5 / 14 capabilities · 75%
| Integrations & Tool Calling | Full |
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Documented GitHub, Slack, Linear and Sentry integrations let agents open pull requests, post reviews and answer in the thread or ticket that started them, and each agent's YAML attaches MCP servers and secrets for further tools, so the customer extends the tool surface. Sourceellipsis.dev/docs (integrations, agents schema)read 2026-09-29 |
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| Workflow Orchestration | Full |
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Agents are YAML files in the repository declaring trigger, harness, model, prompt, environment, permissions and budget, live on merge and previewed on branches. Agents can start further sessions of their own, parallel sessions each run in their own sandbox, and a person can steer a session mid task, all configured by the buyer. Sourceellipsis.dev/docs/agents and ellipsis.dev/pricingread 2026-09-29 |
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| Knowledge Grounding & RAG | Partial |
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Context is assembled per session: each session clones the repositories its environment names, so the Claude Code or Codex harness reads the working tree directly, alongside a shared skill library and connected Slack, Linear and Sentry context. No persistent index, graph or embeddings layer over the customer's code is documented. Sourceellipsis.dev/docs (environments, sessions)read 2026-09-29 |
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| Human Oversight & Guardrails | Partial |
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Ellipsis constrains what an agent can do rather than asking a person to approve it. Permissions declared per agent limit each session's GitHub credential to named repositories and to read only or specific write scopes, and Ellipsis API scopes, and hard budgets stop model requests per session, agent, developer and account; work reaches the codebase as pull requests the customer merges on its own code host. No step where a person approves an agent action before it commits is documented. Sourceellipsis.dev/docs/permissions and docs/budgetsread 2026-09-29 |
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| Security, Identity & Governance | Full |
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The home page states SOC 2 Type I certified with Type II in progress. Access controls cover owner and administrator roles for account settings, scoped API keys, per session credentials minted at the permissions each agent declares and revoked at teardown, write only secrets, and customer set session data retention from zero hours to one year with deletion within four hours of expiry. No SSO, SAML or SCIM is documented, so the identity side is thin. Sourceellipsis.dev/docs/security, docs/api/authentication and the home pageread 2026-09-29 |
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| Observability & Auditability | Full |
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Every session is recorded: the dashboard and CLI show messages and tool calls as they happen, session events, turns and records are readable over the API, transcripts are downloadable as unmodified Claude Code and Codex output, sessions are searchable and linked to the pull requests they produced, and cost and token usage are tracked per session, developer and agent. Sourceellipsis.dev/docs/sessions and platform/observabilityread 2026-09-29 |
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| Memory & State Persistence | Partial |
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A session stays open for follow ups, and a mention starts a durable conversation per pull request, issue or Slack thread that later replies continue, with session records kept for a customer set retention of up to a year. That state stays within one thread, and no memory layer the agent reads across independent sessions, with its own scope and lifetime, is documented. Sourceellipsis.dev/docs/sessions and docs/triggersread 2026-09-29 |
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| Deployment & Data Residency | Full |
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Ellipsis publishes two offerings: Managed SaaS, where sandboxes run in Ellipsis's cloud, and Your AWS Account, which deploys the control plane and agent sandboxes into the customer's AWS VPC with no credentials, code or LLM calls leaving it. Session data retention is customer set. Sourceellipsis.dev/pricingread 2026-09-29 |
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| Prebuilt Agents, Templates & Packs | Partial |
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The pricing page lists agent templates deployable from a gallery in one command, and the docs publish a code review agent as example YAML. Which templates the gallery holds, and what each does, is not published. Sourceellipsis.dev/pricing and docs/agents/code-reviewread 2026-09-29 |
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| Triggers & Channel Coverage | Full |
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Each agent can carry a cron schedule or an event trigger on GitHub pull requests, pushes and issues, Slack, Linear or Sentry events, and each run starts a session with no one invoking it; @ellipsis mentions and the dashboard, CLI and API start sessions on demand. Sourceellipsis.dev/docs/triggersread 2026-09-29 |
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| Model Flexibility & Routing | Full |
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The customer picks the harness and model for every session and agent, across makers: Claude models in Claude Code, GPT models in Codex, and GLM-5.2 and MiniMax M3, and a Claude or ChatGPT subscription can pay for sessions a user starts. The current docs reject settings that point Ellipsis at a customer's own Bedrock account or HTTPS proxy. Sourceellipsis.dev/docs/modelsread 2026-09-29 |
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| APIs, SDKs & MCP Extensibility | Full |
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A REST API at api.ellipsis.dev/v1 with bearer API keys and a published OpenAPI specification starts, streams, messages and stops sessions and manages agents, environments, secrets and webhooks, with Python and TypeScript SDKs and the ellipsis CLI over the same surface. Sourceellipsis.dev/docs/api and docs/api/authenticationread 2026-09-29 |
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| Testing, Debugging & Optimization | Partial |
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Ellipsis tests the customer's code, not the agent. A code review agent reviews each push to a pull request for bugs, agents run the project's tests in their sandboxes, and structured output and session records support debugging after the fact. No harness, scored test set or optimization loop for evaluating agent behavior is documented. Sourceellipsis.dev/docs/agents/code-review and docs/sessionsread 2026-09-29 |
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| Browser & Computer Use | Not documented |
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Ellipsis does not operate browsers or desktops. Sessions run the Claude Code or Codex harness in an isolated cloud Linux sandbox with terminal and file access, which is code execution, and the current documentation names no browser, desktop or computer control tool; preview screenshot tooling is no longer described. Sourceellipsis.dev/docs (environments, sessions)read 2026-09-29 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Usage based: model tokens plus a 20% platform fee, no seat fees
Usage based. Prepaid credits pay model tokens at the published rate per million tokens plus a 20% platform fee on credit purchases, and organization sandbox CPU and memory at cost; personal compute is free; no per seat fees.
Included quota
No included quota: every session is paid from prepaid credits or, for sessions a user starts, the user's own Claude or ChatGPT subscription. Both offerings include the full platform with no feature gates or tiers.
What is public
ellipsis.dev/pricing and docs/pricing publish the whole model: no per seat fees; agents cost model tokens plus a 20% platform fee; token prices per model per million tokens are listed; organization sandbox compute is $0.142 per vCPU-hour and $0.024 per GB-hour and personal compute is free; a Claude or ChatGPT subscription can pay for sessions a user starts. Two offerings run the full platform: Managed SaaS, and Your AWS Account, where tokens and compute are billed by AWS and the 20% platform fee applies to token cost. Optional support packages are Standard $5,000, Advanced $10,000 and Premier $15,000 a month.
Billing mechanics
Buy credits in the dashboard (a 20% platform fee applies to credit purchases); model tokens are charged at each model's published rate and organization sandbox CPU and memory at cost while a sandbox runs, including while it waits for a message. Scheduled and event triggered agents and API key sessions always use credits. Automatic recharge is optional and credits do not expire.
Cost watchouts
Idle sandboxes accrue CPU and memory charges while waiting for a message; the 20% platform fee is charged on credit purchases; large context GPT-6 requests over 272K input tokens cost double input and one and a half times output.
Variable cost rationale
Every session is metered on model tokens and sandbox compute with no flat plan, so spend follows usage and is bounded only by the spend limits the customer sets.
Additional watchouts
Cost scales with model choice, session length and sandbox size; a sandbox waiting for your next message still accrues compute; scheduled and event triggered agents cannot use a personal subscription. Spend limits per session, agent, developer and account are the control.
Overage / add-ons
Paid requests stop when the credit balance or an applicable spend limit is exhausted; automatic recharge is optional, and credits do not expire.
Sales call required
No, self serve available
Free / trial
Free for individuals: personal sandbox compute is free, and sessions you start can run on your own Claude or ChatGPT subscription; otherwise model usage is paid from credits
Lowest paid plan
No plans or seats: prepaid credits pay model tokens at published per million token rates plus a 20% platform fee, and organization sandbox compute at $0.142 per vCPU-hour and $0.024 per GB-hour
Commercial notes
Fully self serve with no seats; enterprises can add a support package for a Slack channel, onboarding, help with deployment in their own AWS account and security questionnaires.
Key ambiguities
Real cost depends on model, session length and sandbox size rather than on seats.
Cancellation / refund
Prepaid credits that do not expire; no seats or contract; refund terms are not stated.
Support SLA / resale
Support packages at $5,000, $10,000 and $15,000 a month add a Slack support channel, onboarding, BYOC deployment help, security questionnaires and first response times of 48, 24 and 4 hours; SOC 2 Type I certified, Type II in progress.
Missing data
Pricing is complete on the page; enterprise pricing beyond the support packages is not described.
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Alternatives to Ellipsis
The closest documented capability profiles to Ellipsis among coding agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Poolside11.0 / 14Fuller documented coverage on Human Oversight & Guardrails
- Tabnine11.5 / 14Fuller documented coverage on Knowledge Grounding & RAG and Human Oversight & Guardrails
- Augment Code12.0 / 14Fuller documented coverage on Knowledge Grounding & RAG and Human Oversight & Guardrails
- Charm10.0 / 14Fuller documented coverage on Human Oversight & Guardrails
- CodeRabbit11.0 / 14Fuller documented coverage on Human Oversight & Guardrails and Memory & State PersistenceEllipsis vs CodeRabbit →
- Greptile11.0 / 14Fuller documented coverage on Knowledge Grounding & RAG and Testing, Debugging & Optimization
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded