+1 for using the file system as memory. You don't need a memory backend for that, or MCP, RAG, nothing. Just the basic read/write fs tools any agent has at its disposal.
Use an .agent/ directory. Tell it to keep a task list, a plan, findings, wishlists, future prompt ideas in there. I use it so much I have ".agent/" in my .gitignore template already. Tell it to use meaningful file names and to set the status of the memory using uppercase suffixes (and category as prefixes or subdirs), and you end up with...
The agent will scan that directory every once in a while and look for information before making a decision. Granted, this is not a vectorial or graph search, it's a ripgrep regex probably, but the model can extrapolate and search many times for related words if needed.
SafeDusk•9m ago
Definitely keep it simple, and OpenAI Codex's tooling setup[0] agrees with you too! Have a simple `update_plan` to track items in progress.
On fixed price plans, the provider has the incentive to set up caching since it improves their margins. On metered plans, the burden is on the user to pay attention to caching availability, and people are just beginning to appreciate its importance.
ojosilva•2h ago
Use an .agent/ directory. Tell it to keep a task list, a plan, findings, wishlists, future prompt ideas in there. I use it so much I have ".agent/" in my .gitignore template already. Tell it to use meaningful file names and to set the status of the memory using uppercase suffixes (and category as prefixes or subdirs), and you end up with...
The agent will scan that directory every once in a while and look for information before making a decision. Granted, this is not a vectorial or graph search, it's a ripgrep regex probably, but the model can extrapolate and search many times for related words if needed.SafeDusk•9m ago
[0]: https://blog.toolkami.com/openai-codex-tools/