Why choose Coral AI for AI assistant with local memory?
Experience next-generation desktop automation powered by state-of-the-art vision and language models, built natively for Windows.
Secure Local Vector Database
Text is converted into an embedding array and saved into a local SQLite/Vector JSON file on your C: drive.
- Total Privacy: Personal data is mathematically secured locally, not floating on a public cloud server.
- Fact Retention: 'Remember that the server IP is 192.168.1.5' stores the exact fact permanently.
- Preference Mapping: Remembers you prefer 'Dark Mode' or that you code primarily in 'TypeScript'.
- Lightweight Storage: Takes up mere megabytes of space even with thousands of memories.
Dynamic Contextual Retrieval
The `query_memory` tool autonomously searches the vector database and injects relevant data into the prompt.
- Implicit Search: You don't need to say 'search memory'. The AI queries it automatically if it senses missing context.
- Semantic Matching: Finds the 'server IP' even if you ask for 'the remote network address'.
- Millisecond Injection: Retrieves the fact and executes the task almost instantly.
- Cross-Session Continuity: Start a conversation on Monday, and resume the exact context on Friday.
Granular Memory Management
You retain full control over your data with explicit `delete_memory` and `list_memories` tools.
- Surgical Deletion: Command 'Forget the old server IP', and it purges that specific vector node.
- Memory Audits: Ask 'What do you know about my project?' to get a full list of saved context.
- Auto-Overwrite: Updates facts seamlessly. 'My new IP is X' will overwrite the old memory cluster.
- Wipe All Feature: One command to completely format the local SQLite database for a fresh start.
The Eradication of Session Amnesia
The greatest limitation of modern LLMs is the 'Context Window'—once you close the browser tab, the AI forgets everything about you. Coral AI implements a sophisticated local Vector Database to permanently eradicate session amnesia. When you impart a fact to Coral AI, it calculates the mathematical embedding of that text and writes it to a hidden `.db` file on your local SSD.
When you ask a question days later, Coral AI's pre-processor scans your request, queries the local database for semantically similar vectors, and dynamically injects those facts into the prompt before the LLM even sees it. It creates the illusion of infinite, flawless memory without ever compromising your data to a public cloud.
Total User Autonomy
Memory is useless without control. Coral AI exposes its memory management directly to the user through specific execution tools. You can ask Coral AI 'List all memories related to Project X', and it will retrieve them. If a piece of data is outdated or sensitive, you simply command 'Forget the API key for Project X'. The agent will locate the specific vector cluster and securely delete it from the hard drive, giving you 100% data sovereignty.
Frequently Asked Questions
Where exactly is the memory stored?
The memory is stored in hidden `.json` or `.db` files strictly within your local Windows user directory (e.g., AppData). It is completely decoupled from web-based training data.
Can it remember complex multi-step workflows?
Yes. You can instruct Coral AI to 'Remember this exact sequence of commands as my Morning Routine', and it will store the macro sequence in its persistent memory for future execution.