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Compare/Continue CLI vs Poolside

Continue CLIvsPoolside

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Continue CLI
Continue · Terminal agent
#24OSSMCP
Panel
6.4
1 spec wins
Reliability
6.2
Usefulness
6.3
Cost
8.0
Longevity
5.2

“It installs by piping a URL straight into your shell, then politely asks permission before it touches a single file.”

Poolside
poolside · Terminal agent
#15MCP
Panel
6.9
2 spec wins
Reliability
6.8
Usefulness
7.0
Cost
6.5
Longevity
7.2

“One of its three network policies is named unsafe-allow-all, which is at least the most clearly labelled decision on this board.”

Spec by spec

SpecContinue CLIPoolside
Architecture
CategoryTerminal agentTerminal agent
Runslocallocal, sandbox, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documented1M tokens on Laguna S 2.1, 256k on XS 2.1 and M.1
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlNoNoWeb search and fetch are documented; there is no DOM-level browser automation.
Sandboxed executionNoThe docs describe running the CLI inside a Docker container, not sandboxing the agent in one. YesTool commands run inside a container on your machine and need a local Docker engine; network policy is off, allow-list or unsafe-allow-all, enforced through a proxy container.
Multi-agent orchestrationNoYes
Headless / CI modeYesYes`pool exec --prompt ... --output json` with POOLSIDE_API_KEY, plus a documented GitHub Actions integration.
Models
Backboneany provider configured in config.yaml, AnthropicLaguna S 2.1, Laguna XS 2.1, Laguna M.1
Bring your own modelYesYes
Local modelsYesThe CLI reads the same ~/.continue/config.yaml provider schema as the IDE extensions, including a custom apiBase, so any local server can be configured; the CLI pages defer to that reference rather than naming Ollama or LM Studio. YesDocumented local-run guides for Ollama and vLLM on Metal, plus full on-premises and air-gapped deployment.
Cost
Pricing modelbyokmixed
Starts at$0/mon/a
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesNo
LicenseApache-2.0proprietary
GitHub stars36,084n/a

Which one would each critic pick

CriticContinue CLIPoolsidePick
El Juez——not enough reviews
El Amigo6.86.8no preference
El Crítico6.36.5Poolside — Isolation needs a container engine running on the machine and enforces network policy through a proxy container, which is a configuration rather than a boundary.
El Profesor6.56.5no preference
La Inversora5.37.0Poolside — Training your own models and selling deployments into other people's data centres is a capital-intensive bet on the one segment that cannot buy from a lab directly.
La Jefa6.07.0Poolside — It runs inside our own network, including air-gapped, on the Kubernetes platforms we already operate, and the enterprise price is a sales conversation.
El Hacker7.87.5Continue CLI — Apache-2.0 with the whole thing in a public monorepo, and a provider block that takes a custom apiBase, which is how my own server gets in.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.