Valmis vs Poolside AI

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

Analysis reviewed Live tool data as of 2026-10-18
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionValmisPoolside AI
PricingFree (open-source)Contact for pricing (enterprise)
DeploymentSelf-hostedOn-prem, VPC, or cloud API (defense: workstation)
Target UsersDevelopers, open-source enthusiasts, privacy-focused teamsLarge enterprises in regulated industries (finance, healthcare, defense)
Model AccessModular: bring your own model / community modelsLaguna XS.2 (on-device) & Laguna M.1 (API); 256K context
Auditability & GovernanceBasic: open-source transparencyExecutive-grade governance, RBAC, sandboxed execution, audit logs
Best ForTeams valuing privacy, customization, and zero costHigh-consequence software engineering with compliance needs

Valmis is a strong choice for privacy-conscious teams and open-source enthusiasts who want a free, customizable AI coding assistant without vendor lock-in. Poolside AI, on the other hand, is purpose-built for enterprise-grade, high-consequence software engineering in regulated industries, offering on-prem deployment, multi-agent orchestration, and governance. If you need a zero-cost, self-hosted tool with flexibility, pick Valmis; if your organization requires compliance, auditability, and robust model performance for critical tasks, Poolside AI is the clear winner.

Valmis
Valmis

Open-source AI agent platform that runs agents in isolated Docker containers behind a host-side credential proxy.

Visit Website
Poolside AI
Poolside AI

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 Website
Pricing
Free
Contact Sales
Plans
$0
—
Popularity
2 views
7.2k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebDesktop
DesktopCLIAPIPlugin
Categories
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration🛡️ AI Governance & Guardrails
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Host-side credential proxy: agents request API calls by credential ID and never see raw keys
LLM API calls routed through the same proxy instead of direct from the agent container
Each agent runs in its own isolated Docker container with a separate file system
Agent containers can run with internet access disabled and still execute app requests
Build a fleet of agents with per-agent credentials, skills, and knowledge bases
Per-agent credential access boundaries enforced at the code level
Assign a different LLM provider per agent to control model cost against task value
Agents can act as team lead and manage other agents' workflow as a decision tree
Workflow builder canvas for multi-step jobs with conditions and loops
Smart conditions judged by AI from plain-language descriptions
Strict conditions comparing values with programming logic
Per-step credential and tool limits plus output schema definitions
Cron, webhook, and app-event triggers such as new email, form submission, or Slack mention
Describe a workflow in natural language and have an agent build it
Cross-session memory organized into episodic, semantic, procedural, and working
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 sized small enough to run on-device
Laguna S 2.1 positioned for frontier-class reasoning at mid-size cost
Single-agent and multi-agent orchestration for coding tasks
Sandboxed execution environments so agent code stays off production
Desktop app for agentic coding sessions with model selection and tool grouping
CLI agent client with slash commands and keyboard shortcuts
VS Code and Visual Studio extensions
Always-ask approval mode before edits are accepted
Data connectors to repositories, databases, and warehouses
Role-based access control for human users and agents
End-to-end trace observability for agent runs
Projects and multi-conversation management inside the client
Custom fine-tuning and Forward Deployed Research Engineers
Integrations
Slack
Notion
Google Workspace
Gmail
Google Drive
Google Calendar
Google Sheets
HubSpot
Salesforce
Figma
OpenRouter
Vercel AI Gateway

What real users say: Valmis 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.

Valmis

40 mentions across 7 sources · 62% positive — mixed (averaged across 7 sources)

Reddit, Hacker News, YouTube, Product Hunt, Stack Overflow, GitHub, Lemmy

What users praise

  • • Credential proxy keeps raw API keys away from agents.
  • • Docker container isolation sandboxes agents securely.
  • • Supports 100+ integrations, including Slack and Notion.
  • • Persistent memory with episodic and semantic recall.

What frustrates them

  • • No managed cloud version; self-hosting required.
  • • Documentation is thin beyond the README.
  • • No official support or SLA for enterprises.
  • • Steep learning curve for non-technical users.

Researched Aug 7, 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 or startup with limited budget
    Pick: Valmis

    Valmis is free, open-source, and self-hostable, allowing customization without vendor lock-in. It supports modular model integration and real-time collaboration, which is sufficient for small teams.

  • Privacy-conscious team handling sensitive code
    Pick: Valmis

    Valmis can be self-hosted on private infrastructure, ensuring full data control and no external API calls, which is crucial for protecting intellectual property.

  • Enterprise in finance/healthcare needing compliance
    Pick: Poolside AI

    Poolside AI offers executive-grade governance, RBAC, audit logs, and on-prem deployment with custom foundation models, meeting stringent regulatory requirements.

  • Large defense contractor with air-gapped environment
    Pick: Poolside AI

    Poolside AI supports workstation deployment for defense and multi-agent orchestration with sandboxed execution, fitting high-security constraints.

  • Team requiring long-context multi-step reasoning
    Pick: Poolside AI

    Both Laguna models offer 256K context, enabling complex planning and tool use that Valmis's simpler architecture cannot match.

Frequently Asked Questions

Valmis vs Poolside AI: which should you choose?

Valmis is a strong choice for privacy-conscious teams and open-source enthusiasts who want a free, customizable AI coding assistant without vendor lock-in. Poolside AI, on the other hand, is purpose-built for enterprise-grade, high-consequence software engineering in regulated industries, offering on-prem deployment, multi-agent orchestration, and governance. If you need a zero-cost, self-hosted tool with flexibility, pick Valmis; if your organization requires compliance, auditability, and robust model performance for critical tasks, Poolside AI is the clear winner.

Can Valmis run on my own server?

Yes, Valmis is self-hostable open-source software, allowing full control over infrastructure and data.

What models does Poolside AI support?

Poolside AI offers Laguna XS.2 (33B params, 3B active) for on-device use and Laguna M.1 (225B params, 23B active) via API, both with 256K context.

Is Valmis suitable for enterprise use?

Valmis lacks enterprise features like SLAs, audit logs, and RBAC, making it more suitable for smaller teams or non-critical tasks.

Is Poolside AI open-source?

Poolside AI provides open-weight models and published research, but the full platform and deployment are proprietary and require a commercial agreement.

Which tool has better data privacy?

Valmis provides better privacy by default since it can be fully self-hosted. Poolside AI also offers on-prem deployment but may involve telemetry; however, its governance features ensure compliance.

Can I use Valmis for real-time pair programming?

Yes, Valmis includes real-time collaboration features for team-based AI-assisted coding.

Does Poolside AI require internet access?

Laguna XS.2 runs on-device and can work offline; Laguna M.1 requires API access, but the Poolside Platform can be deployed in VPC for controlled connectivity.

What is the context length for Valmis?

Valmis does not specify a context length; it depends on the integrated model, but likely standard context models, not the 256K offered by Poolside AI.

More Valmis or Poolside AI comparisons

Explore each tool further

Browse these categories

Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 2, 2026