biubiutomato/TME-Agent
TME: Structured memory engine for LLM agents to plan, rollback, and reason across multi-step tasks.
This framework helps developers build smarter AI assistants that can handle complex, multi-step tasks like travel planning, scheduling meetings, or managing an e-commerce cart. It takes in a series of user instructions and uses an LLM to process them, creating a structured memory that allows the AI to plan, rollback, and reason through subtasks. Developers can use this to create robust AI agents that understand context and dependencies across conversations.
No commits in the last 6 months.
Use this if you are a developer building an LLM-powered agent and need it to reliably manage complex workflows, remember past decisions, and handle changes or corrections from users.
Not ideal if you are a non-developer looking for a ready-to-use application, as this is a developer tool requiring coding knowledge to implement and customize.
Stars
35
Forks
2
Language
Python
License
—
Category
Last pushed
Jul 31, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/biubiutomato/TME-Agent"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Featured in
Higher-rated alternatives
kayba-ai/agentic-context-engine
🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai
MemMachine/MemMachine
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory...
knowns-dev/knowns
The memory layer for AI-native development — giving AI persistent understanding of your software...
rexdivakar/HippocampAI
HippocampAI — Autonomous Memory Engine for LLM Agents
Dicklesworthstone/cass_memory_system
Procedural memory for AI coding agents: transforms scattered session history into persistent,...