Memento-Teams/Memento-Skills

Health v2 · maintenance only

Adoption not part of the score

1546 stars · 180 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Memento-Skills is a generalist, continually-learnable LLM agent framework where reusable skills stored as markdown files serve as persistent, evolving memory. It acts as an agent-designing agent, autonomously constructing and improving task-specific agents through a Read-Write Reflective Learning loop without updating LLM parameters.

Use cases

• build an agent that learns skills from experience
• let an AI agent design other agents for new tasks
• run a chat agent with persistent reusable skills
• continual learning for LLM agents without fine-tuning
• deploy an agent with web research and terminal skills
• connect an agent to Feishu, DingTalk, WeCom, or WeChat
• run multi-step tasks with reflection-based replanning

When to choose

• you want an agent framework with persistent, extensible skill libraries
• you need continual learning without retraining model weights
• you want an agent that can compose or design other agents
• you need CLI plus desktop app access with IM platform integrations

When to avoid

• you need a simple one-shot chatbot without memory or skill evolution
• you require a mature production framework with a long track record
• you need non-Python runtimes or mobile/embedded deployment
• you want full control over low-level agent orchestration primitives

Facets

framework · maturity active

agent-framework llm-inference machine-learning cli gui artificial-intelligence large-language-models developer-tools python windows cli cross-platform skill-centric-runtime continual-learning stateful-prompts agent-designing-agent memory-based-learning reflection desktop-app im-integrations ai-agents macos desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Memento-Teams/Memento-Skills")