Gortex vs Poolside AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Gortex | Poolside AI |
|---|---|---|
| Pricing | Free | Contact for pricing (enterprise-focused) |
| Deployment | 100% local, no cloud dependencies | On-prem, VPC, or workstation (air-gapped options) |
| Target Users | AI coding agent users, open-source developers | Enterprise teams in regulated industries |
| Key Model | Not a model; code intelligence engine | Laguna family (XS 2.1, S 2.1, M.1) |
| Context Length | Not applicable (graph-based queries replace long context) | 256K - 1M tokens depending on model |
| Top Integrations | Claude Code, Cursor, GitHub Copilot, Aider, Continue.dev, 19+ agents | OpenRouter, 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 is open-source code intelligence that answers AI coding agent queries in one knowledge-graph call — up to 50x fewer tokens.
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Poolside builds open-weight agentic coding models — Laguna XS 2.1 (33B) and Laguna S 2.1 (118B) — for code that stays inside your security
Visit WebsiteWhat 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 (averaged across 5 sources)
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 (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 using Claude Code on a large monorepoPick: 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 deploymentPick: 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 toolPick: 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 governancePick: 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 overheadPick: 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