https://github.com/day50-dev/dayzer
Dayzer is a cross-tool memory layer that lets you persist, transfer, and resume LLM conversations seamlessly across applications.
https://github.com/day50-dev/dayzer
Last synced: about 1 year ago
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Dayzer is a cross-tool memory layer that lets you persist, transfer, and resume LLM conversations seamlessly across applications.
- Host: GitHub
- URL: https://github.com/day50-dev/dayzer
- Owner: day50-dev
- Created: 2025-05-08T05:50:57.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-01T18:50:42.000Z (about 1 year ago)
- Last Synced: 2025-06-02T04:58:48.488Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 22.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 8
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Metadata Files:
- Readme: readme.md
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README
# TeamCollab LLM Proxy
A lightweight OpenAI-compatible proxy server with team-based context injection.
Routes to OpenRouter by default.
## Features
- ✅ Accepts OpenAI-style `/v1/chat/completions` requests
- ✅ Validates API keys (you issue)
- ✅ Injects shared/team chat context
- ✅ Streams responses from upstream
- ✅ Uses OpenRouter (can be changed to OpenAI, Anthropic, etc.)
## Setup
```bash
git clone https://github.com/yourname/proxy-llm
cd proxy-llm
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
export OPENROUTER_API_KEY=your-openrouter-key
uvicorn main:app --host 0.0.0.0 --port 4000
Dayzer is a way to have conversations with your previous conversations and other peoples conversations and have them associated with work.
This is the core tech of day50. The primary way to do this will be mcp to recall, proxy to store.
litellm is not the right way to go.
make it public
DejaView is a memory and routing layer for LLM conversations.
It lets you persist, transfer, and resume threads across tools like VS Code, Aider, chat UIs, and agent shells — without losing context.
Powered by a pluggable proxy (e.g. LiteLLM), DejaView tags each conversation with a unique ID and tracks the flow across applications. Whether you're coding, chatting, or running agents, you can recall, merge, or branch conversations like source control for thought.
Built for:
* Cross-app memory: Continue a conversation started in one tool from any other
* Thread syncing: Route context through a centralized store with clear APIs
* Git-style ops: Tag, merge, fork, and audit conversational history
This is part of Day50, which does [llmehelp](https://github.com/kristopolous/llmehelp), [streamdown](https://github.com/kristopolous/Streamdown), and [Week7](https://github.com/kristopolous/megacode) .