local-ai-code-assistant vs Poolside AI

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

Analysis reviewed Live tool data as of 2026-08-15
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At a glance

Dimensionlocal-ai-code-assistantPoolside AI
PricingFree (open-source)Contact for pricing (enterprise)
DeploymentLocal desktop app, fully offlineOn-prem, VPC, workstation (defense only)
Model SupportedMultiple open-source models (Mistral, Llama, Phi, etc.)Custom Laguna models (XS.2, M.1) with 256K context
Target UserPrivacy-conscious individual developers & hobbyistsLarge enterprises in regulated industries (finance, healthcare, defense)
Key FeatureMulti-model side-by-side execution, offline privacyMulti-agent orchestration, 256K context, custom on-prem models
Collaboration & GovernanceNo collaboration features, fully localRole-based access control, auditability, executive governance

Choose local-ai-code-assistant if you're a solo developer who values privacy and zero cost, and want to run multiple open-source models offline. Choose Poolside AI if you're an enterprise in a regulated industry needing custom models, multi-agent orchestration, and on-prem deployment with full governance. They serve completely different needs.

local-ai-code-assistant
local-ai-code-assistant

CodeLoom: free, open-source, offline multi-model AI coding assistant for private development

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Poolside AI
Poolside AI

Open-weight agentic coding models for regulated enterprises needing auditable, on-prem AI

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Pricing
Free
Contact Sales
Plans
$0
Popularity
2 views
7.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Desktop
DesktopCLIAPIWeb
Categories
💾 Local & On-Device AI💻 Code & Development
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Multi-weave architecture: up to 5 concurrent model sessions
Contextual thread fusion to chain model outputs
Universal model manager: Hugging Face, Ollama, GGUF, GPTQ
Automatic quantization optimization (4-bit, 8-bit, FP16)
Native file looming indexing up to 100k tokens
Real-time collaborative editing over local WebSocket
Intelligent prompt looms for multi-model workflows
Cross-platform: Windows (x64), macOS (Apple Silicon + Intel), Linux (x64/ARM)
Multilingual interface in 12 languages
24/7 offline availability with no server dependencies
Privacy-first offline mesh with no telemetry or cloud relays
No user accounts or subscription required
Supports fast weft (<200ms response) with 1-3B models
Supports warp thread with 7-70B models for complex tasks
Local backend support: llama.cpp, ExLlama, MLX
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
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
OpenRouter
Vercel AI Gateway

What real users say: local-ai-code-assistant 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.

local-ai-code-assistant

30 mentions across 2 sources · 65% positive

YouTube, GitHub

What users praise

  • Privacy-first: code never leaves your machine, essential for regulated industries.
  • Multi-model support: assign different models to tasks like autocomplete or refactoring.
  • Offline capability: works 24/7 without internet, no server dependencies.
  • Free and open-source: no subscriptions or hidden costs, full control.

What frustrates them

  • Hardware intensive: large models need high VRAM, limiting accessibility.
  • Early-stage: few stars and limited community means immature ecosystem.
  • Setup complexity: multi-model and backend configuration has a learning curve.
  • No cloud-level intelligence: local models may underperform GPT-4-class in tasks.

Researched Aug 7, 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

Who should pick which

  • Solo founder working on a side project with sensitive code
    Pick: local-ai-code-assistant

    Free, fully offline, runs on personal laptop with multiple open-source models; no data leaves the machine.

  • Enterprise development team in a bank needing AI for complex legacy code
    Pick: Poolside AI

    Custom on-prem models, 256K context for long tasks, role-based access control, and auditability.

  • Hobbyist experimenting with different local LLMs
    Pick: local-ai-code-assistant

    Supports many open-source models side-by-side for free, no setup beyond desktop app.

  • Healthcare company deploying AI inside a secure VPC
    Pick: Poolside AI

    On-prem or VPC deployment, custom foundation models, and governance features meet regulatory needs.

  • Open-source contributor wanting offline autocomplete
    Pick: local-ai-code-assistant

    Free, offline, and integrates locally without subscription.

Frequently Asked Questions

local-ai-code-assistant vs Poolside AI: which should you choose?

Choose local-ai-code-assistant if you're a solo developer who values privacy and zero cost, and want to run multiple open-source models offline. Choose Poolside AI if you're an enterprise in a regulated industry needing custom models, multi-agent orchestration, and on-prem deployment with full governance. They serve completely different needs.

Can I use local-ai-code-assistant without internet?

Yes, it operates fully offline; models run locally.

Does Poolside AI require internet?

No, it can be deployed on-prem or in a VPC, enabling air-gapped operation.

What models does local-ai-code-assistant support?

Multiple open-source models like Mistral, Llama, Phi, etc.

What models does Poolside AI use?

Custom Laguna XS.2 (33B params, 3B active) and M.1 (225B params, 23B active) with 256K context.

Is local-ai-code-assistant free?

Yes, it is free and open-source.

How much does Poolside AI cost?

Pricing is not public; contact sales for enterprise quotes.

Which tool is better for privacy?

local-ai-code-assistant ensures no data leaves your machine. Poolside also offers on-prem deployment for privacy.

Can Poolside AI handle long multi-step tasks?

Yes, with 256K context and multi-agent orchestration, it excels at long-horizon planning.

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Last reviewed: July 1, 2026