Backed byYCombinator

Cloud platform for coding agents

Deploy agents for feature development, code review, and more. Each agent gets an isolated sandbox, scoped permissions, and hard budget caps. Full observability included. Get started with a $100 credit.

Claude logoClaudeCodex logoCodexGemini logoGemini
Works with the agents your team already uses

Trusted by 400+ engineering teams

The CLI

A fleet of cloud agents, managed like infrastructure

Each agent runs in its own sandbox with scoped credentials and a hard budget. Developers get parallelism, the platform team gets the audit trail.

splitshift-api4 sessions

$ agent session start "backfill the rest-period audit table"

using config "Feature builder" (repo default)

session_4Kp9dQ2w · sandbox ready in 8s

$ agent session list

session_4Kp9dQ2wrunningFeature builder$0.62

session_8Rn2tY6crunningFeature builder$1.18

session_2Wm7xB4hrunningMigration runner$0.34

session_9Jf5cV3kcompletedIssue triage$0.87

$ agent session search "tip-pool rounding"

session_9Jf5cV3k · opened PR #514 · 3 days ago

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Code review

Code review with your prompts and your models

Choose the models and prompts, add multiple reviewers, and gate what lands with a filter you write. Too noisy? Write a stricter prompt.

code_review.yamllive on merge
ellipsis:  version: v1  kind: code_reviewreview:  - name: bugs    claude:      model: claude-opus-5      system: |        Flag correctness bugs and unhandled        edge cases, on the exact line.  - name: migrations    pull_requests:      paths: ["migrations/**"]    claude:      system: |        Check every schema change for lock        risk and backfill safety.filter:  name: gatekeeper  claude:    system: |      Post only findings a senior      engineer would raise.budget:  run: 10.00
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Agents as code

Agents are defined as code

An agent is a YAML file in your repo: the prompt, the model, the sandbox, the permissions, the budget. Like infrastructure-as-code, for your agents.

agents/dependency-triage.yamllive on merge
ellipsis:  version: v1  name: Dependency triageclaude:  model: claude-opus-5  system: |    Update dependencies with failing    audits and open a pull request.trigger:  type: cron  schedule: "0 6 * * 1-5"sandbox:  repositories:    - name: splitshift-api  github:    permissions:      contents: read      pull_requests: writebudget:  session: 5.00
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Harnesses

You choose the harness, we handle the infrastructure

Ellipsis is the infrastructure under whichever agent wins: sandboxes, credentials, budgets, and logs stay the same while the harness and model are config fields.

agents/alert-responder.yamlClaude Code
claude:  model: claude-opus-5  system: |    Reproduce the Sentry alert and    open a fix.
agents/alert-responder.yamlCodex
codex:  model: bedrock-gpt-5.6-terra  system: |    Reproduce the Sentry alert and    open a fix.

Same sandbox, credentials, budget, and logs either way.

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Sandboxes

Agents spawn in seconds, with your toolchain installed

Each agent spawns the full stack and runs the tests in its own sandbox, so ten agents on one repo never clobber each other.

agents/feature-builder.yamlinstalls cached
sandbox:  repositories:    - name: splitshift-web    - name: splitshift-api  image:    setup: |      poetry install && npm ci  compute:    cpu: 4    memory: 8GB

sbox_kF82mQ4r · image cache hit · ready in 8s

10 sessions on splitshift-web · isolated sandboxes

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Governance

Scoped credentials, hard budgets, full audit trail

Agents stop running on developers’ own credentials. Permissions are minted per session, spend is capped and attributed, and the transcript outlives the sandbox.

session_4Kp9dQ2wrunning
GitHub tokencontents: read · pull_requests: write · expires in 1h
Budget$1.84 spent of $5.00 session cap
Attributed topriya-shah (CLI device flow)
Transcript214 records · searchable · exportable
Stopped bynobody · one click away
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Self-hosted

No data ever leaves your VPC

Self-host in your AWS account and nothing leaves your VPC. Model calls can route through your own gateway for compliance and logging.

your-aws-accountus-east-1

Your VPC

Ellipsis platform · sandboxes · session logs

model calls → your Bedrock account

or routed through your own LLM gateway

outbound data to ellipsis.dev: none

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The API

Spawning agents is as simple as POST /v1/sessions

Put an LLM decision-maker anywhere in your SDLC with no infra to manage. Spawn a session from any workflow and get typed, structured output back.

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POST /v1/sessions201
curl https://api.ellipsis.dev/v1/sessions \
  -H "Authorization: Bearer $ELLIPSIS_API_KEY" \
  -d '{
    "config_id": "agent_x9Kd3Fq2",
    "prompt": "Classify this incident and
      draft the postmortem outline"
  }'
{
  "id": "session_4Kp9dQ2w…",
  "status": "scheduled",
  "resolved_config_name": "Incident triage"
}

The platform

Everything you need to run coding agents

From the YAML that defines an agent to the audit trail it leaves behind.

Why do agents need a cloud? →
400+
Engineering teams
67k+
Repos connected
16.8M
Agent sessions
SOC 2
Type 1 certified

Latest

From the blog

Deploy your first agent in minutes

Write the config, push to GitHub, and Ellipsis handles the rest.