Comparison

Augment Code vs OpenCode Autolearn

A like-for-like, spec-level comparison. Both entries are verified against their docs and repo.

Augment Code

A context engine for large enterprise codebases.

  • + Built for huge codebases
  • + Enterprise-grade context retrieval
  • − Closed and enterprise-priced
  • − Not BYOK-friendly

OpenCode Autolearn

Self-improvement engine for OpenCode agents.

  • + Automatically captures corrections and preferences from live sessions
  • + Escalates patterns to persistent AGENTS.md rules
  • + Compounds knowledge across sessions via structured memory
  • − Small project, early stage
  • − OpenCode-specific
Spec Augment Code OpenCode Autolearn
Role Coding agent Coding agent
Tags coding-agent, ide-extension, persona-solo-builder, persona-software-developer, persona-data-scientist coding-agent, library, memory, persona-solo-builder, persona-software-developer, persona-data-scientist
License Proprietary MIT
Open source No Yes
Self-hostable No Yes
MCP support Yes No
Pricing paid free
Price Custom Free
Usage cost Included No model cost
Models custom multi
Languages multi python
GitHub stars 9
Last activity 2026-07-04