Gortex vs Poolside AI

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

Analysis reviewed Live tool data as of 2026-08-30
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At a glance

DimensionGortexPoolside AI
PricingFreeContact for pricing (enterprise-focused)
Deployment100% local, no cloud dependenciesOn-prem, VPC, or workstation (air-gapped options)
Target UsersAI coding agent users, open-source developersEnterprise teams in regulated industries
Key ModelNot a model; code intelligence engineLaguna family (XS 2.1, S 2.1, M.1)
Context LengthNot applicable (graph-based queries replace long context)256K - 1M tokens depending on model
Top IntegrationsClaude Code, Cursor, GitHub Copilot, Aider, Continue.dev, 19+ agentsOpenRouter, Vercel AI Gateway, IDE extensions, TUI

If you're an individual developer or team using AI coding agents and want to slash token costs and latency by replacing file reads with graph queries, Gortex is the free, immediate-win choice. For enterprises in regulated industries needing custom, open-weight models with multi-agent orchestration, sandboxed execution, and auditability—deployable in air-gapped environments—Poolside AI's Laguna models and platform are purpose-built. Choose based on whether your priority is cost-efficient local code intelligence (Gortex) or governed, long-horizon agentic coding at scale (Poolside).

Gortex
Gortex

Open-source code intelligence that cuts AI coding agent tokens by up to 50× with a single graph query.

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Poolside AI
Poolside AI

Open-weight agentic coding models for secure on-prem enterprise AI

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Pricing
Freemium
Contact Sales
Plans
$0
Popularity
7 views
7.1k views
Skill Level
Advanced
Advanced
API Available
Platforms
WebDesktopAPICLI
DesktopCLIAPIWeb
Categories
💻 Code & Development🔌 MCP Servers & Agent Tooling
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Knowledge graph indexing: symbols, imports, calls, fields, generics, modules
257-language parsing via tree-sitter, regex, and forest-backed parsers
Semantic search: hybrid BM25 + vector with baked GloVe-50d embeddings
Live editor-buffer overlays via shadow-graph sessions
Speculative edit previews without touching disk
Dataflow and taint analysis for security audits
Clone detection via MinHash signatures (64-slot, LSH banding)
Structural unsafe-pattern scanning with tree-sitter S-expressions
Concurrency analysis: race writes, unclosed channels, health score
Graph-grounded PR review with BLOCK / REVIEW / APPROVE verdicts
17-server LSP bridge for IDE-level diagnostics and code actions
Cross-repo contract detection: HTTP, gRPC, GraphQL, pub/sub, Temporal
Proactive notifications: diagnostics, readiness, daemon health, stale refs
MCP 2026 Streamable HTTP transport support with SSE notifications
GCX1 compact text format, median 27.4% fewer tokens than JSON
Open-weight Laguna S 2.1 model with 118B params, 8B active, 1M context
Open-weight Laguna XS 2.1 model with 33B params, 3B active, 256K context
256K context length on XS 2.1 for long-horizon reasoning
1M context length on S 2.1 for extended reasoning tasks
Multi-agent orchestration with planning and tool use
Sandboxed agent execution environments for safe code runs
IDE extensions and terminal UI (TUI) for developer workflows
Custom model fine-tuning for domain-specific needs
On-prem, VPC, or workstation deployment (workstation for defense only)
Data connectors to repositories, databases, and warehouses
Role-based access control for humans and agents
Executive-grade governance and auditability features
Real-time observability with end-to-end traces
Air-gapped network support
Runs on-device for lightweight scenarios
Integrations
Claude Code
Cursor
GitHub Copilot
Aider
Continue.dev
Claude Desktop
Windsurf
CodeGPT
Cline
Roo Code
OpenAI Codex CLI
PearAI
Zed
Warp
Ghostty
OpenRouter
Vercel AI Gateway

What real users say: Gortex 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.

Gortex

58 mentions across 5 sources · 19% positive — critical

Hacker News, YouTube, Bluesky, GitHub, Lemmy

What users praise

  • Up to 50x token reduction per agent edit via graph queries.
  • 100+ MCP tools out of the box for deep code analysis.
  • Supports 257 languages with tree-sitter and regex parsers.
  • Runs locally, one binary, zero external dependencies.

What frustrates them

  • Consumes 12GB+ per worktree — OOM on medium repos.
  • Codex hooks skip 91% of calls and PostToolUse HTTP fails.
  • Hooks cause agents to run invalid CLI commands.
  • No cross-repo contract recognition or business flow support.

Researched Jul 15, 2026

Poolside AI

40 mentions across 4 sources · 48% positive — mixed

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

Feature-by-feature

Gortex is a code intelligence engine, not a model. It indexes your repo into an in-memory knowledge graph using 257-language parsing (tree-sitter, regex, forest-backed) and exposes over 100 MCP tools (v0.57.1+). Instead of reading files, agents ask one graph query for cross-file relationships, reducing tokens by up to 94%. Features include semantic search (hybrid BM25+GloVe-50d, optional MiniLM/Ollama/OpenAI), speculative execution, dataflow/taint tracking, clone detection, concurrency analysis, and PR review. It integrates with 19+ AI coding agents (Claude Code, Cursor, Copilot). Poolside AI offers the Laguna model family with long context (256K-1M) for complex reasoning. The Platform adds multi-agent orchestration, tool use, sandboxed execution, data connectors, and role-based access control with auditability. Poolside models are open-weight and can be deployed on-prem or in VPC, ideal for sensitive environments. Gortex is purely local and free, while Poolside provides custom models and governance for enterprises.

Pricing compared

Gortex is completely free and open-source. It runs as a single binary with zero external dependencies on macOS, Linux, or Windows. There are no paid tiers, no cloud subscriptions, and no token costs. Poolside AI uses a contact-for-pricing model targeting enterprises. The Laguna models can be deployed on-prem, in VPC, or on workstation (defense only), with custom pricing likely based on deployment scale, model tier, and support. There is no self-serve sign-up or public price list. For individual developers or small teams, Gortex is immediately accessible and costless. For organizations needing custom models, audit trails, and SLAs, Poolside AI's enterprise pricing is appropriate but requires vendor engagement.

Who should pick which

  • Solo developer using Claude Code on a large monorepo
    Pick: Gortex

    Gortex's graph query replaces dozens of file reads, cutting token costs and speeding up edits. It's free and integrates directly with Claude Code.

  • Enterprise in defense needing auditable AI with on-prem deployment
    Pick: Poolside AI

    Poolside Platform supports air-gapped deployment, role-based access, and full audit trails. Laguna models handle long-horizon tasks with 1M context.

  • Open-source maintainer wants to add code intelligence to a community tool
    Pick: Gortex

    Gortex is open-source, has over 100 MCP tools, and supports 257 languages. No vendor lock-in and zero cost.

  • Fintech team building agentic coding workflows with strict governance
    Pick: Poolside AI

    Poolside's multi-agent orchestration, sandboxed execution, and data connectors meet compliance. Custom models can be fine-tuned.

  • Developer seeking quick prototyping without enterprise overhead
    Pick: Gortex

    Gortex is free, local, and instantly usable with popular agents like Cursor and Aider. No sign-up or sales call.

Frequently Asked Questions

Gortex vs Poolside AI: which should you choose?

If you're an individual developer or team using AI coding agents and want to slash token costs and latency by replacing file reads with graph queries, Gortex is the free, immediate-win choice. For enterprises in regulated industries needing custom, open-weight models with multi-agent orchestration, sandboxed execution, and auditability—deployable in air-gapped environments—Poolside AI's Laguna models and platform are purpose-built. Choose based on whether your priority is cost-efficient local code intelligence (Gortex) or governed, long-horizon agentic coding at scale (Poolside).

Can I use Gortex without an AI coding agent?

Gortex is designed for AI coding agents and provides MCP tools, HTTP endpoints, and a web UI. Without an agent, you can access the graph UI for querying, but the primary value is for agent-assisted development.

Does Poolside AI offer a free tier?

No, Poolside AI uses contact-based pricing for enterprise customers. There is no free tier or self-serve option.

Which tool supports more programming languages?

Gortex supports 257 languages with tree-sitter, regex, and forest-backed parsers. Poolside AI does not specify language count; its models are code-savvy but language support depends on training data.

Can I deploy Gortex in an air-gapped environment?

Yes, Gortex is 100% local and runs as a single binary with no external dependencies, making it suitable for air-gapped environments.

Does Poolside AI integrate with GitHub Copilot or Cursor?

Poolside AI offers IDE extensions and a terminal UI but does not list integration with GitHub Copilot or Cursor as Gortex does. Its integrations include OpenRouter and Vercel AI Gateway.

Which tool is better for reducing token usage?

Gortex is specifically built to reduce token consumption by replacing file reads with graph queries, cutting tokens per edit by up to 94%. Poolside AI's long context models do not directly aim to reduce token usage.

Are Poolside AI models open-weight?

Yes, Poolside AI builds open-weight models, which allows enterprises to run them on-prem and customize them.

Can I use Gortex with Poolside AI?

In theory, Gortex's MCP tools could be used with any agent that supports MCP, including those built on Poolside models, but it's not a listed integration. Poolside's platform focuses on its own agent orchestration.

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Last reviewed: July 30, 2026