Replicas
Background coding agents you delegate to from Slack, Linear and GitHub. Replicas runs any agent harness — Claude Code, Codex — in the cloud, giving each task its own sandboxed VM that clones the repo, installs dependencies and runs the app like a real developer. Agents react to CI failures and code reviews to raise PR quality. YC 2026.
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Our take
Background coding agents you delegate to from Slack, Linear and GitHub. Replicas runs any harness — Claude Code, Codex — in the cloud, giving each task a sandboxed VM that clones the repo, installs dependencies and runs the app. Agents auto-fix CI failures and read reviews to improve PR quality. YC 2026; 20+ YC teams using it. Agent; outcomes vendor-reported.
Best for
Engineering teams that want to hand off well-scoped tasks to cloud coding agents from the tools they already use.
Pros
- Delegate from Slack, Linear and GitHub
- Runs any harness (Claude Code, Codex)
- Sandboxed VM per task, real local setup
- Auto-fixes CI and reads code reviews
Cons
- Crowded background-agent space
- Best on well-scoped tasks
- Outcomes are vendor-reported
How it compares
Versus single-harness agents like Devin, Replicas is harness-agnostic, running whichever coding agent you prefer in a sandboxed cloud VM wired into your existing tools.
Full review
Replicas is a background coding agent you delegate to from Slack, Linear, GitHub and more. It can run any coding-agent harness, such as Claude Code or Codex, in the cloud, giving each task its own sandboxed virtual machine that clones the codebase, installs dependencies and runs the application locally, like a developer setting up a project.
Agents improve their own output through feedback loops, getting notified of and fixing CI failures and reading all code reviews to raise PR quality. Part of Y Combinator's 2026 batch, Replicas reports more than 20 YC-backed companies already using it, and is building toward scheduled tasks and recursive execution where agents spawn sub-agents. As an agent its quality claims are vendor-reported, so Outcome is scored conservatively.
Cloudkart Trust Graph
3.4/5- Actual Utility4/5
Source: Initial LLM-authored rubric (backfill)
- Ease of Use4/5
Source: Initial LLM-authored rubric (backfill)
- Pricing Fairness3/5
Source: Initial LLM-authored rubric (backfill)
- Reliability3/5
Source: Initial LLM-authored rubric (backfill)
- Differentiation3/5
Source: Initial LLM-authored rubric (backfill)
Scored as of . Each score is versioned and auditable; vendors cannot buy it.
How this score is set
- Editorial rubric
- Primary signal — five dimensions, 3.4/5 average.
- Community reviews
- None yet.
- Pricing verified
- Not yet verified
- Independence
- Score set by our editorial team before any affiliate relationship is considered. No vendor can buy it.
Frequently asked questions
- Is Replicas free, and how much does it cost?
- Replicas is a paid tool.
- Who is Replicas best for?
- Engineering teams that want to hand off well-scoped tasks to cloud coding agents from the tools they already use.
- How is Replicas rated on Cloudkart.ai?
- Replicas scores 3.4 out of 5 on the Cloudkart.ai rubric, which weighs actual utility, ease of use, pricing fairness, reliability and differentiation. Scores are set editorially and can never be bought.
Community reviews
No community reviews yet. Be the first to share how Replicas works for you.
Relevant tools
More tools in AI Coding Assistants.
Composio
Composio provides the execution infrastructure that connects AI agents to real software. It sits at the tooling and connectivity layer of the agent stack, giving developers one framework - SDKs, a CLI and 850+ pre-built connectors - to let agents act across apps such as GitHub, Slack and Salesforce. It handles the hard parts: complex authentication and OAuth, plus remote sandboxed environments for safe execution, exposed over the Model Context Protocol so agents can reason and then reliably take action. The platform is built for production, with SOC 2 and ISO 27001:2022 certifications and deployment across public cloud, VPC and on-premises. Composio operates from San Francisco and Bangalore and raised a $25M Series A led by Lightspeed, with angels including Vercel's Guillermo Rauch and HubSpot's Dharmesh Shah.
LiteLLM
LiteLLM, from BerriAI, is an open-source AI gateway that gives you a single OpenAI-compatible interface to 140+ providers and 2,500+ models, including OpenAI, Anthropic, Gemini, Bedrock, Azure, Mistral, Ollama and vLLM. You can use it as a lightweight Python SDK for direct calls, or deploy the proxy server as a centralized gateway for a team, with virtual keys, budgets, load balancing, rate limiting, request logging and LLM guardrails. It has become a default building block in the AI stack, with 45,000+ GitHub stars, 240M+ Docker pulls and over a billion requests served, and is used by companies including Netflix, Adobe and Stripe. The core is free; an enterprise tier adds JWT auth, SSO/SAML, audit logs, SLAs and dedicated support.
Claude Code
Terminal-based agentic coding tool from Anthropic for autonomous multi-step coding tasks.
Kiro
AWS agentic IDE built around spec-driven development: it writes a spec, then builds matching code, tests and docs across IDE, CLI and web.
Compare Replicas head-to-head: vs Composio · vs LiteLLM · vs Claude Code · vs Kiro