All your AI Agents & Tools i10X ChatGPT & 500+ AI Models & Tools

Pieces Long-Term Memory Agent

Pieces Long-Term Memory Agent
Pricing: No Info
AI, Productivity, Memory Management, Workflow, Privacy

Meet Pieces Long Term Memory Agent!

Pieces Long Term Memory Agent is like a helpful friend who remembers everything you worked on, who you worked with, and when. It keeps track of all these details, so you can easily pick up where you left off.

Key Features

Memory Capture and Retrieval
Pieces Long Term Memory Agent, also known as LTM 2, works on macOS, Windows, and Linux. It automatically saves your code, notes, links, and discussions for up to 9 months. This makes it easy to find your past work whenever you need it.

Interactive Workstream Activity
View your activities on an interactive timeline. See what you did, when, why, and how. Ask questions like "When was the last time I ran into an error like this?" or "What projects was I working on around Thanksgiving?" and get instant answers.

Natural Memory Retrieval
Use simple language to ask about your past work. For example, ask "Can you generate a stand up note summarizing everything I worked on this week?" The system organizes your work like a human brain, turning short term interactions into long term knowledge.

Privacy and Control
Privacy is very important. 90 percent of the system runs offline, with only a small part needing cloud support. You have full control to pause or stop memory formation, block specific apps, and delete data by source, topic, or time range. Effortless team sharing allows collaboration without losing knowledge.

Benefits

Augmenting Human Memory
LTM 2 mimics human memory, providing context to short term memories. It cross references different types of memories, enhancing its ability to respond to queries accurately.

Application Agnostic Memory
Pieces'' long term memory isn''t tied to a specific system. It covers code, communications, research, and more.

Use Cases

Create detailed reports for standups by recalling GitHub issues and code worked on. Make code changes based on recommendations from chat, documentation, and other sources.

Cost Price

Funding

Reviews Testimonials

Comments

Loading...