I've been building an AI agent framework for myself for the last year because I got tired of re-explaining context to my LLM every morning.
Google just announced "Antigravity" to solve this, which looks amazing, but it locks you into their cloud and their models (Gemini). I wanted something that:
1. Runs 100% locally on my machine.
2. Works with any model (I switch between Claude 3.5 Sonnet and GPT-4o).
3. Persists memory in simple JSON files I can edit/version control.
I call it *EchoCopi*. It's a Python-based "memory organ" + a background worker script that executes tasks while I sleep.
I'm releasing the core memory module as open source (MIT) today. I'm also finalizing a "Full Autonomy" suite (background worker + VS Code integration) that I'll release later this month.
Google just announced "Antigravity" to solve this, which looks amazing, but it locks you into their cloud and their models (Gemini). I wanted something that:
1. Runs 100% locally on my machine. 2. Works with any model (I switch between Claude 3.5 Sonnet and GPT-4o). 3. Persists memory in simple JSON files I can edit/version control.
I call it *EchoCopi*. It's a Python-based "memory organ" + a background worker script that executes tasks while I sleep.
I'm releasing the core memory module as open source (MIT) today. I'm also finalizing a "Full Autonomy" suite (background worker + VS Code integration) that I'll release later this month.
*Core Repo:* https://github.com/SparkSupernova/EchoCopi *Full Suite:* (Coming late Dec 2025)
Happy to answer questions about the architecture or how I use it to maintain a "sentient" coding partner.