aimee, a local layer that makes any AI coding tool model-agnostic, cheaper, and safer, and learns as your whole team uses it
aimee https://github.com/RakuenSoftware/aimee is one substrate that sits under your AI coding tools (Claude Code, Codex, OpenCode, Gemini CLI, Copilot, or any other tool that speaks OpenAI or Anthropic) over hooks + MCP + API, plus its own browser webchat. One install does five things:
Run any tool on any model. Point your tool's front end at aimee and every turn runs on Claude, GPT, Gemini, Mistral, or any other local or remote model that speaks either the OpenAI API or the Anthropic API. Switch providers anytime, no lock-in. Take your memory and config with you to new providers and new tools.
Cut the bill. Route work to cheaper or free delegate agents; the expensive primary agent manages the session and gets a compact result instead of raw context.
Stay safe. Sensitive files blocked before the model touches them. Planning mode locks writes. Each session gets its own truly isolated session. Concurrent sessions do not clobber each other.
Keep your context. 4-tier memory (deduped, contradictions caught, stale facts decayed) so every session starts knowing what the last one learned. Aimee is capable of learning and extrapolating far beyond just the current repo. It is able to reason and learn across not only all of your repos, but all of your documents, and apply this knowledge to the current session.
Scale past yourself. The same layer becomes a shared, self-learning knowledge base: point a team at one aimee-kb and it distills everyone's knowledge to everyone, across code, product, support, ops.