Forgecode vs Poolside AI

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

Analysis reviewed Live tool data as of 2026-08-24
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At a glance

DimensionForgecodePoolside AI
Ease of StartFreemium: free ZSH plugin, requires own API keysEnterprise sale: contact sales, on-prem deployment
Model Support300+ models (OpenAI, Claude, Gemini, open-source, etc.)Custom open-weight Laguna models (XS.2, M.1)
DeploymentLocal ZSH plugin, no cloud backend requiredOn-prem, VPC, workstation (defense), cloud
Focus AreaTerminal-based AI pair programming for devsHigh-consequence enterprise software engineering
Key InnovationMulti-agent (Forge, Muse, Sage), mix-and-match modelsMulti-agent orchestration with 256K context, auditability
Recent Achievement#1 on TermBench 2.0 with 81.8% accuracyPlatform launch with governance, 256K context

Choose Poolside AI if you're an enterprise in a regulated industry needing custom models, on-prem deployment, and full auditability—it's built for high-stakes, high-consequence coding. Choose ForgeCode if you're a terminal-power-user developer who wants to quickly switch between 300+ models, mix them in a session, and get the #1 ranked terminal coding assistant starting for free.

Forgecode
Forgecode

Terminal-native AI coding harness that ranks #1 on TermBench 2.0, letting you mix and match 100s of LLMs from ZSH.

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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
Freemium
Contact Sales
Plans
$0/mo
Popularity
7 views
7.1k views
Skill Level
Advanced
Advanced
API Available
Platforms
CLI
DesktopCLIAPIWeb
Categories
💻 Code & Development🛠️ Autonomous Coding Agents
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
ZSH plugin triggered by ':' prompt
Multi-provider support for 100s of LLMs (Anthropic, OpenAI, Google, etc.)
Mix-and-match models in one session (plan/code/context)
Multi-agent architecture (Forge, Muse, Sage) with bounded context
ForgeCode Services semantic search and codebase understanding
Tool-call guardrails for local models
Conversation compaction and cloning
Natural language to CLI conversion
Custom command support in ZSH (v1.4.0)
Environment variable command (env)
ARM Android support (v1.3.0)
Plan progress tracking
No API key required for ForgeCode Services
VS Code Extension (mention in docs)
Rigorous automated testing pipeline
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
Anthropic
OpenAI
Google
DeepSeek
Mistral
Meta
OpenRouter
Novita AI
Kimi K2
Grok 4
Qwen-3 Coder
GLM
Minimax
Claude Code
Vercel AI Gateway

What real users say: Forgecode 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.

Forgecode

28 mentions across 2 sources · 43% positive — mixed

Hacker News, Lemmy

What users praise

  • Top-ranked on Terminal-Bench 2.0 with 81.8% accuracy.
  • Supports 300+ models from all major providers, mix-and-match in one session.
  • Multi-agent architecture with bounded context for planning and research.
  • ZSH plugin preserves existing aliases, Oh My Zsh, and terminal muscle memory.

What frustrates them

  • Past cheating allegations cast doubt on benchmark claims.
  • Very limited community discussion outside Hacker News.
  • No IDE integration—terminal-only may alienate GUI-reliant devs.
  • Setup requires ZSH and familiarity with CLI workflows.

Researched Jul 3, 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

  • Enterprise in finance/healthcare/defense
    Pick: Poolside AI

    Poolside AI offers on-prem deployment, custom models, auditability, and governance required for regulated industries. The FDREs embed with teams to ensure compliance.

  • Terminal power user / CLI lover
    Pick: Forgecode

    ForgeCode integrates seamlessly as a ZSH plugin, allowing AI assistance via ':' prompt without leaving the terminal. Supports 300+ models and achieved #1 on TermBench.

  • AI researcher evaluating coding models
    Pick: Forgecode

    ForgeCode's multi-provider support enables easy comparison of 300+ models in one session. Its rigorous automated testing pipeline aids benchmarking.

  • Solo founder with limited budget
    Pick: Forgecode

    Free to start (ZSH plugin), only pay for API keys you already use. No enterprise commitment needed.

  • Defense contractor requiring air-gapped environment
    Pick: Poolside AI

    Poolside AI supports on-prem and workstation deployment for defense, with custom models inside strict security boundaries.

Frequently Asked Questions

Forgecode vs Poolside AI: which should you choose?

Choose Poolside AI if you're an enterprise in a regulated industry needing custom models, on-prem deployment, and full auditability—it's built for high-stakes, high-consequence coding. Choose ForgeCode if you're a terminal-power-user developer who wants to quickly switch between 300+ models, mix them in a session, and get the #1 ranked terminal coding assistant starting for free.

Can I try Poolside AI without talking to sales?

No, Poolside AI requires contacting sales for access and deployment. There is no self-serve sign-up.

Is ForgeCode free to use?

The ZSH plugin is free, but you need to provide your own API keys for model providers (OpenAI, Claude, etc.). Optional ForgeCode Services may have usage limits.

Which tool supports more AI models?

ForgeCode supports over 300 LLM models from multiple providers. Poolside AI offers its own custom Laguna models (XS.2 and M.1) and does not support third-party models.

Can I deploy Poolside AI on my own infrastructure?

Yes, Poolside AI supports on-prem, VPC, and workstation (defense only) deployment for full security control.

Does ForgeCode work in IDEs like VS Code?

No, ForgeCode is a ZSH plugin for the terminal. It does not provide inline suggestions in GUI IDEs.

What is the latest benchmark achievement for ForgeCode?

ForgeCode scored 81.8% on TermBench 2.0 (March 2026) using GPT-5.4 and Opus 4.6, ranking #1.

What is the context length of Laguna models?

Both Laguna XS.2 and M.1 support up to 256K context (May 2026 update).

Can I mix different AI models in one session with Poolside AI?

No, Poolside AI uses its own custom models. ForgeCode allows mixing and matching models within a single session.

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Last reviewed: July 3, 2026