2.3 KiB
todo
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allow skills to be downloaded from the web
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allow skills to be written as text formatted files like SKILL.md
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skills need to specific via JSON-rpc the state changes they make to their state and data files in memory
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skills need to be able to download custom mcp servers from the web
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integrate the payments flow properly, skip the connect account page and goto the home page
[] - allow for new skills to be coded on their own [] - allow for multiple instances of a skill to be loaded [] - add a local model that can read through the screen and also go through voice using an API like whisper [] - add a screener recorder that goes through the intefaces in the screen and locally summarizes what is happening and brings more assitance to the user [] clean up the core so that we can run it as a binary on a server or as docker
[x] Separate the binary from the tauri codebase [] Integrate our custom memory engine into core - sanil [] Integrate our skills registry into core - steve [x] Integrate accessibility service installation [] Add as a step and setting in the UI - cyrus [x] Remove mentions of zeroclaw from the codebaes [x] Integrate local LLM into core [x] Handle process/deamon properly [x] install the linux philosophy of few modules that do their own thing really well sort of.. [x] Remove android / ios support from the codebase. [x] e2e test to check if daemon and sidecar loading works properly [x] Find a better way to structure the cargo files [x] fix all the rust and cargo issues [] Add icon and app name to the various permission settings - mithil [] add self update based on github release. create a update action on the cli - aniketh [] for each skill show information on how much data has been synced locally and information on how much syncs have happened so far etc.. - mithil/elvin [x] redo the docs once everything is done. [x] remove unwanted feature flags from the rust binary [] fix the config properly - mithil [] Allow for Migrating from OpenClaw - steve done - to be tested [] allow users to choose which version of LLM model they'd like to choose based on their CPU. better ram and gpu means higher parameter model can be used. - mithil [x] in the client side app, make console.log follow a logger style logging where there's a namespace for every logger (like python) - steve