one local memory for all your coding agents (claude code, codex, cursor, antigravity, gemini, opencode). mcp server + skill, built on qenlo.
View on GitHub ↗i use claude code, codex, cursor, antigravity and gemini cli. each one starts every session knowing nothing, and none of them knows what the others figured out an hour ago. so the same release steps, the same preferences and the same "no, we tried that" get explained again, once per agent.
qenlo-memory is one local memory that all of them share. it's a CLI your agents run from their shell, one brain folder they all link to, and hooks. an MCP server is still there for agents without a shell. every agent can read everything, and every memory records which agent wrote it, so recall might hand claude code a fix that codex found yesterday, labeled by codex.
it runs on qenlo, the embedded vector database i'm building, through its python sdk (qenlo==0.1.0a11). building a real product on it was also a way to find out where it hurts.
you need ollama running. it does the embeddings, on your GPU if you have one.
the script installs uv if you don't have it, installs the qenlo-memory CLI with it (the only dependencies are qenlo and mcp), pulls the embedding model into ollama, and runs qenlo-memory install. that last step writes the brain folder, ~/.qenlo-memory/brain/, then finds every coding agent on the machine and links the skill and the always-on instruction into it, lets the agent run qenlo-memory without asking where it can, and adds hooks where the agent supports them. install --mcp also wires the MCP server into every agent. it backs up each file it edits to .bak once, and running it again only replaces its own entries. qenlo-memory install --dry-run shows what it would touc
From the project README.
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