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Laminar vs Plandex

LaminarPlandex

Bottom line: Laminar for agent developers; Plandex for developers on large codebases.

LaminarLaminar

Open-source, OpenTelemetry-native observability and evals built for AI agents

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PlandexPlandex

Open-source terminal AI coding agent built for large, multi-file projects

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Votes00
PricingFreemiumFreemium
CategoryLlm ObservabilityCoding
Tags
llm-observabilityagent-tracingopentelemetryevalsopen-source
ai-coding-agentopen-sourceterminalclilarge-codebase
Best for
  • Agent developers
  • LLM app engineers
  • Teams needing evals plus tracing
  • Developers on large codebases
  • Terminal-first engineers
  • Teams wanting reviewable AI edits
Pros
  • Open source under Apache 2.0
  • OpenTelemetry-native, one-line tracing
  • Fast Rust implementation
  • Plain-English Signals for agent behaviors
  • Built-in evals SDK and CLI
  • Purpose-built for large, multi-file tasks
  • Cumulative diff sandbox keeps changes reviewable
  • Very large context via tree-sitter project maps
  • Model-agnostic across major and open providers
  • MIT-licensed and free to self-host
Cons
  • Younger and smaller than major competitors
  • Ecosystem and integrations still growing
  • Free tier has short retention
  • Best suited to agent-heavy use cases
  • Requires OpenTelemetry familiarity for advanced use
  • Terminal-only — no GUI or IDE integration
  • Hosted cloud service is being wound down in 2026
  • Requires bringing your own model API keys
  • Smaller ecosystem than IDE-based competitors
  • Learning curve for the plan/review workflow

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