Repomix vs Poolside AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-23
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At a glance

DimensionRepomixPoolside AI
PricingFreeContact sales
Target UserSolo devs & teamsEnterprise regulated industries
DeploymentLocal CLI, DockerOn-prem, VPC, workstation, API
Key CapabilityCodebase packing for LLM contextAutonomous agents & foundation models
Context LengthDepends on LLM used256K tokens (Laguna models)
Security/GovernanceSecretlint, git-aware, local executionRBAC, audit logs, air-gapped deployment

For individual developers needing a free, open-source tool to compress codebases for ChatGPT or Claude, Repomix is the clear choice. Poolside AI serves enterprises in regulated sectors with costly, capable agents and on-prem models, but it's overkill and inaccessible for smaller teams.

Repomix
Repomix

Pack your repo into one AI-friendly file that LLMs like ChatGPT and Claude can read in full.

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Poolside AI
Poolside AI

Open-weight agentic coding models — Laguna XS 2.1 and Laguna S 2.1 — built for secure on-prem and air-gapped enterprise AI.

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Pricing
Free
Contact Sales
Plans
—
—
Popularity
9 views
7.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebCLIPlugin
DesktopCLIAPIWeb
Categories
💻 Code & Development
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Pack an entire repository into a single XML, Markdown, JSON, or plain text file
Respects .gitignore automatically for git-aware packing
Secretlint integration detects credential-like files and excludes them from output
Token counting per file and for the whole repository
Tree-sitter code compression for roughly 70% token reduction
Option to remove comments and empty lines from packed code
Glob-based include and ignore patterns to select files
Pack remote repositories via --remote (URLs, branches, tree paths, commit URLs)
Generate a persistent repomix.config.json with repomix --init
Include file summary and directory structure in output
Show line numbers in packed output
Use as an MCP Server for AI assistant integration
Chrome extension for packing codebases from the browser
Docker image for isolated or containerized runs
GitHub Actions for automated packing in CI/CD workflows
Laguna S 2.1 open-weight model: 118B params, 8B active, 1M context
Laguna XS 2.1 open-weight model: 33B params, 3B active, 256K context
Laguna XS 2.1 designed to run on-device for lightweight scenarios
Laguna S 2.1 positioned for frontier-class long-horizon reasoning
Single-agent and multi-agent orchestration with planning and tool use
Sandboxed agent execution environments for running generated code safely
Desktop app and CLI for agentic coding sessions
Model selection, tool grouping, and project management in the client
Data connectors to repositories, databases, and warehouses
Role-based access control for both human users and agents
End-to-end trace observability for agent runs
Governance and auditability built for regulated environments
Custom model fine-tuning on domain-specific data
Deployment inside your security boundary: on-prem, VPC, or workstation
Access to Laguna models via OpenRouter and Vercel AI Gateway
Integrations
Docker
GitHub Actions
MCP Server
Chrome
Secretlint
OpenRouter
Vercel AI Gateway

What real users say: Repomix vs Poolside AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Repomix

35 mentions across 2 sources · 55% positive — mixed (averaged across 2 sources)

Hacker News, Lemmy

What users praise

  • • Free and open source (MIT license), runs locally with no server dependency.
  • • Respects .gitignore and includes Secretlint for basic security scanning.
  • • Tree-sitter-based compression removes comments and empty lines while preserving structure.
  • • Outputs XML, Markdown, or Plain text for compatibility with diverse LLMs.

What frustrates them

  • • Token reduction is minimal compared to newer tools like Scribe (98%).
  • • CLI-only with no GUI; may intimidate less technical users.
  • • No iterative or agentic context management for multi-turn sessions.
  • • Lacks advanced filtering beyond glob patterns and .gitignore.

Researched Jul 3, 2026

Poolside AI

40 mentions across 4 sources · 48% positive — mixed (averaged across 4 sources)

Hacker News, YouTube, Bluesky, Lemmy

What users praise

  • • Open-weight models with strong SWE-bench scores (72.5%).
  • • On-prem, VPC, and air-gapped deployment for high security.
  • • 256K context length supports long-horizon reasoning tasks.
  • • Multi-agent orchestration with sandboxed execution environments.

What frustrates them

  • • Community feedback is scarce; limited real-world user reviews.
  • • Platform is still in research preview as of April 2026.
  • • Pricing is opaque; only 'contact us' with no published tiers.
  • • Trademark dispute with Poolside FM creates name confusion.

Researched Jul 17, 2026

Who should pick which

  • Solo founder building an app
    Pick: Repomix

    Free, quick to install, packs the project into a single file for use with GPT or Claude—perfect for debugging or generating documentation on a budget.

  • Enterprise CTO in finance
    Pick: Poolside AI

    Needs on-prem, auditable AI agents with long-context reasoning for critical code; Poolside’s 256K-context Laguna models and governance features meet compliance.

  • Open-source contributor
    Pick: Repomix

    Can quickly share a codebase with a maintainer or AI assistant via a single file; no vendor lock-in and respects gitignore.

  • DevOps engineer for CI/CD
    Pick: Repomix

    Integrates easily into pipelines; the Docker image provides isolated packing for automated code analysis without cost.

  • Defense contractor developer
    Pick: Poolside AI

    Poolside offers workstation deployment for defense, air-gapped models, and sandboxed execution—critical for classified environments.

Frequently Asked Questions

Repomix vs Poolside AI: which should you choose?

For individual developers needing a free, open-source tool to compress codebases for ChatGPT or Claude, Repomix is the clear choice. Poolside AI serves enterprises in regulated sectors with costly, capable agents and on-prem models, but it's overkill and inaccessible for smaller teams.

Can Repomix replace an AI coding assistant?

No, Repomix only packages code into LLM-friendly format; it does not have chat or agent capabilities. You still need an external LLM.

Does Poolside AI offer a free tier?

No, it is enterprise-only with contact-based pricing.

Which tool is better for large repositories?

Repomix can handle up to ~50k files before needing filtering; Poolside's agents with 256K context manage multi-step analysis but require custom deployment.

Is Repomix safe for sensitive code?

Yes, it runs locally, respects .gitignore, and includes Secretlint to detect secrets in output.

Does Poolside support on-prem deployment?

Yes, on-prem, VPC, and workstation (defense only) are supported, with air-gap options.

Can Repomix compress code without losing structure?

Yes, using Tree-sitter it removes comments and whitespace but preserves syntax and logic, reducing tokens by ~70%.

What context length do Poolside models support?

As of May 2026, Laguna XS.2 and M.1 support 256K tokens.

Do I need coding skills to use Repomix?

Basic CLI familiarity (npm, npx, or Docker) is needed; it's designed for developers.

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Last reviewed: July 3, 2026