Codecompanion.Nvim vs Poolside AI

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

Analysis reviewed Live tool data as of 2026-09-22
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At a glance

DimensionCodecompanion.NvimPoolside AI
PricingFreeContact sales (enterprise licensing)
Target UserNeovim power users, individual developersEnterprises in regulated industries (finance, healthcare, defense)
DeploymentLocal Neovim plugin; requires LLM API keysOn-premises, VPC, or workstation (air-gapped options for defense)
Model AccessBYO LLM (Anthropic, OpenAI, Ollama, 10+ providers)Proprietary Laguna models (XS.2 on-device, M.1 via API)
Context LengthDepends on underlying LLM (usually ≤128K)256K tokens (latest models as of May 2026)
Agent FeaturesACP-based agents, multi-agent chat, MCP integrationMulti-agent orchestration with planning, sandboxed execution, governance

Choose CodeCompanion.nvim if you're a Neovim power user who wants a free, flexible plugin that connects to any LLM you already use. Choose Poolside AI if you're in a regulated industry needing air-gapped, auditable AI agents with custom models and enterprise governance. For most solo devs or small teams, CodeCompanion is the practical pick; Poolside is a premium solution for high-consequence environments.

Try Codecompanion.NvimTry Poolside AI
Codecompanion.Nvim
Codecompanion.Nvim

CodeCompanion.nvim brings AI coding, chat, agents and MCP into Neovim.

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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
Free
Contact Sales
Plans
$0/mo
—
Popularity
7 views
7.1k views
Skill Level
Advanced
Advanced
API Available
Platforms
Plugin
DesktopCLIAPIWeb
Categories
💻 Code & Development
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Chat buffer for conversational LLM interactions inside Neovim
Inline transformations that write model output directly into your buffer
Agent Client Protocol (ACP) support for Claude Code, Codex, Gemini CLI and more
Model Context Protocol (MCP) support for external tools
Adapters for Anthropic, OpenAI, Gemini, GitHub Copilot, Ollama and others
Custom Lua adapters to connect any LLM or agent
Editor Context to enrich prompts with buffer and cursor state
Slash Commands and a built-in prompt library for LSP errors and explanations
Rules and skills support including CLAUDE.md and .cursor/rules
Code review workflow to comment on and approve/reject agent output
Multiple simultaneous chat buffers
Image and PDF input for multimodal prompts
Async execution for fast performance in long conversations
Local model support via Ollama
Workflows and tools to chain multi-step agentic tasks
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
Anthropic
OpenAI
Azure OpenAI
Google Gemini
GitHub Copilot
GitHub Models
Mistral
Ollama
OpenRouter
HuggingFace
xAI
DeepSeek
Kimi
Novita
Vercel AI Gateway

What real users say: Codecompanion.Nvim 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.

Codecompanion.Nvim

47 mentions across 4 sources · 60% positive — mixed (averaged across 4 sources)

Hacker News, YouTube, Bluesky, GitHub

What users praise

  • • Native Neovim experience with Vim keybindings and feel.
  • • Supports multiple LLM providers: OpenAI, Anthropic, Ollama, GitHub Copilot, etc.
  • • Free and open-source with no usage limits or subscription.
  • • Chat buffer, inline transformations, and ACP agent support.

What frustrates them

  • • Agentic workflows are limited compared to Cursor or Aider.
  • • Memory leak reported in long conversations (still open issue).
  • • Anthropic adapter errors with long prompts, breaking some workflows.
  • • Requires manual API key setup; not beginner-friendly for newcomers.

Researched Jul 6, 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 Neovim developer
    Pick: Codecompanion.Nvim

    Free, integrates with any LLM, and provides chat, inline transformations, and agents directly in Neovim without extra cost.

  • Enterprise in a regulated industry
    Pick: Poolside AI

    Offers on-prem deployment, air-gapped options, 256K context (per May 2026), multi-agent orchestration, and full governance/auditability.

  • Research team needing long-context agents
    Pick: Poolside AI

    Laguna models support 256K tokens and multi-step planning, ideal for complex codebase analysis and long-horizon tasks.

  • Hobbyist exploring multiple LLMs
    Pick: Codecompanion.Nvim

    Supports 10+ providers via adapters, custom prompts, and rules files; low-cost way to experiment with different models.

  • Developer working on open-source projects
    Pick: Codecompanion.Nvim

    Free and open-source; encourages community contribution with user-created adapters and prompt library.

Frequently Asked Questions

Codecompanion.Nvim vs Poolside AI: which should you choose?

Choose CodeCompanion.nvim if you're a Neovim power user who wants a free, flexible plugin that connects to any LLM you already use. Choose Poolside AI if you're in a regulated industry needing air-gapped, auditable AI agents with custom models and enterprise governance. For most solo devs or small teams, CodeCompanion is the practical pick; Poolside is a premium solution for high-consequence environments.

Can I use CodeCompanion.nvim without a paid LLM API?

Yes, you can use local models via Ollama, but otherwise you'll need an API key from a supported provider (some have free tiers).

Does Poolside AI offer a free trial?

No; it's enterprise-only with contact sales pricing. No self-serve signup is available.

Which tool supports on-premises deployment?

Poolside AI supports on-prem, VPC, and even air-gapped workstation deployment (defense only). CodeCompanion is a local plugin but requires internet for cloud LLMs.

Can CodeCompanion.nvim handle multi-step agent tasks?

It supports agents via ACP, but the reasoning depth depends on the LLM and adapter. Poolside AI is designed specifically for long-horizon multi-step planning.

What context length does each tool support?

CodeCompanion inherits the LLM's limit (typically up to 128K). Poolside's Laguna models support up to 256K tokens as of May 2026.

Is CodeCompanion.nvim suitable for non-Neovim users?

No, it is exclusively a Neovim plugin. Poolside AI provides IDE extensions and TUI, so it's more editor-agnostic.

Does Poolside AI have vision support?

The Laguna models focus on code and reasoning; vision/image input is not listed as a feature. CodeCompanion supports vision if the underlying LLM does.

Can I bring my own LLM to Poolside AI?

No, Poolside AI uses its own Laguna models or custom models deployed on your infrastructure. CodeCompanion lets you use any compatible LLM provider.

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Explore each tool further

Codecompanion.Nvim
View Codecompanion.Nvim reviewCodecompanion.Nvim alternatives
Poolside AI
View Poolside AI reviewPoolside AI alternatives

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Last reviewed: July 3, 2026