EKOS vs Poolside AI

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

Analysis reviewed Live tool data as of 2026-09-28
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At a glance

DimensionEKOSPoolside AI
PricingFreemiumContact sales
DeploymentCloud, one-clickOn-prem, VPC, workstation
Key FeatureGitHub repo to MCP serverOpen-weight agentic coding models
Best ForIndividual devs, AI enthusiastsRegulated enterprises

If you're a developer who wants AI to understand your codebase without heavy integration work, EKOS is the fast, affordable route—free tier, instant MCP server from any GitHub repo. But if you operate in a regulated industry where data governance and audit trails are non-negotiable, Poolside AI's on-prem, open-weight Laguna models are the enterprise-grade choice, despite the sales-led procurement. Choose based on your risk tolerance and deployment constraints.

Try EKOSTry Poolside AI
EKOS
EKOS

EKOS compiles enterprise code, SQL and ETL into an evidence-backed knowledge ledger any MCP-speaking AI agent can query.

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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
Freemium
Contact Sales
Plans
—
—
Popularity
5 views
7.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPI
DesktopCLIAPIWeb
Categories
🔌 MCP Servers & Agent Tooling💻 Code & Development
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Compiles SQL DDL, Pentaho jobs, git history, Confluence and GitHub issues into a shared Transformation IR
Recovers legacy ETL and stored-procedure logic as Source, Filter, Join, Aggregate and Sink nodes
Serves compiled knowledge read-only over MCP to any MCP-speaking agent via stdio JSON-RPC
Evidence-backed citations: every answer names the exact fragment it came from
Append-only, evidence-backed enterprise knowledge graph of issues, PRs and files
Pentaho and SQL recovery analyzers run against real GitHub ETL projects
ClickHouse connector (RFC 0056) as an audited exception allowing live query
Local-LLM NL-to-SQL pipeline, demonstrated with an Ollama model against a real ClickHouse server
Cold ingestion of a 2,022-file repository in 34 seconds, timed live
Token efficiency of 67-93% fewer tokens than raw grep on the same real question
101-scenario answer-quality suite graded by six deterministic evaluators
Self-hosted pipeline spanning build, recovery, resolution, compilation, storage, docs and search
CLI workflow: ekos build, recover, resolve, compile, commit, then mcp serve --workspace
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
GitHub
Claude
Cursor
MCP
OpenRouter
Vercel AI Gateway

What real users say: EKOS 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.

EKOS

24 mentions across 4 sources · 35% positive — critical (averaged across 4 sources)

Hacker News, Product Hunt, Stack Overflow, Lemmy

What users praise

  • • Instantly generates MCP servers from any GitHub repo, saving setup time.
  • • Automatically detects project structure and APIs, no manual mapping needed.
  • • Easy integration with Claude and Cursor via simple OAuth.
  • • One-click deployment to cloud gets MCP running in minutes.

What frustrates them

  • • Limited community feedback; early-stage tool with unproven reliability.
  • • Potential scalability issues as codebase size grows, not yet validated.
  • • Pricing unclear; freemium model may hide costs for heavy usage.
  • • Dependency on GitHub OAuth may limit non-GitHub users.

Researched Aug 13, 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 developer building AI-assisted coding workflows
    Pick: EKOS

    EKOS's freemium model and instant MCP generation let you connect your GitHub repos to Claude or Cursor in minutes without enterprise overhead.

  • Open-source maintainer wanting AI-ready projects
    Pick: EKOS

    EKOS automatically creates MCP servers for public repos, making it easy for contributors to use AI on the codebase.

  • Enterprise CTO in finance or healthcare
    Pick: Poolside AI

    Poolside AI's on-prem deployment, open-weight models, and auditability features meet strict data privacy and compliance demands.

  • AI team leader at a defense contractor
    Pick: Poolside AI

    With workstation deployment (defense only) and custom model fine-tuning, Poolside AI fits air-gapped environments where data cannot leave the premises.

  • Tech startup with small budget, needing quick prototyping
    Pick: EKOS

    EKOS is free to start and requires no vendor engagement, letting startups iterate on AI code access without financial risk.

Frequently Asked Questions

EKOS vs Poolside AI: which should you choose?

If you're a developer who wants AI to understand your codebase without heavy integration work, EKOS is the fast, affordable route—free tier, instant MCP server from any GitHub repo. But if you operate in a regulated industry where data governance and audit trails are non-negotiable, Poolside AI's on-prem, open-weight Laguna models are the enterprise-grade choice, despite the sales-led procurement. Choose based on your risk tolerance and deployment constraints.

Can EKOS handle private repositories?

Yes, EKOS supports both public and private repositories, using GitHub OAuth for secure connections.

Does Poolside AI require cloud deployment?

No, Poolside AI can be deployed on-premises, in a VPC, or on a workstation (defense only), so it works in air-gapped or multi-cloud environments.

Which AI assistants work with EKOS?

EKOS integrates with AI assistants like Claude and Cursor, and it generates MCP servers that other MCP-compatible tools could use.

What is the context length of Poolside's latest models?

Laguna S 2.1 offers 1 million tokens of context, while Laguna XS 2.1 provides 256K tokens, both enabling long-horizon reasoning tasks.

Is Poolside AI self-serve or sales-led?

Poolside AI is sales-led; you need to contact their team for pricing and access, reflecting its enterprise focus.

Does EKOS update the MCP server automatically when the repo changes?

Yes, EKOS provides automatic updates when the repository changes, so the AI always has fresh code context.

Can I fine-tune Poolside models for my domain?

Yes, Poolside AI supports custom model fine-tuning for domain-specific needs, which is ideal for specialized enterprise use cases.

What are the main integrations for Poolside AI?

Poolside AI integrates with OpenRouter and Vercel AI Gateway, plus data connectors to repositories, databases, and warehouses.

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Explore each tool further

EKOS
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Poolside AI
View Poolside AI reviewPoolside AI alternatives

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Last reviewed: August 13, 2026