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memodb-io/Acontext

Acontext is an open-source skill memory layer for AI agents that automatically captures learnings from agent runs and stores them as readable, editable, and shareable skill files.

Core Features

Automatically captures agent learnings as skills.

Stores skills as plain, human-readable Markdown files.

Framework-agnostic, compatible with various LLMs and agent frameworks.

Enables agents to learn from mistakes and reuse successful patterns.

No embeddings, API lock-in, or vendor lock-in; skills are portable.

Quick Start

pip install acontext

Detailed Introduction

Acontext addresses the complexity and opacity of traditional AI agent memory by introducing a novel skill memory layer. It automatically distills agent interactions and outcomes into structured, human-readable skill files, typically in Markdown format. This approach ensures transparency, allowing developers and users to easily inspect, edit, and share an agent's learned knowledge across different agents, LLMs, and frameworks. By focusing on plain files and agent-driven retrieval, Acontext promotes a more understandable, debuggable, and portable memory system, empowering agents to progressively learn and adapt without proprietary constraints.