Acontext

Acontext is a skill memory layer for AI agents that learns from runs, writes Markdown skill files, and reuses them.

Acontext provides a skill memory layer for AI agents. It captures agent execution sessions, distills what works, and writes human-readable Markdown skill files that agents can recall and reuse on future runs. The system creates a continuous learning loop where agents improve themselves dynamically. It is designed for developers building AI agents using supported frameworks like OpenAI, Anthropic, LangGraph, and Agno. Users can install the tool via pip, set up a learning space with an API key, and export skill files as ZIP archives. Additionally, users can self-host the entire stack on their own infrastructure.

Acontext at a glance

Best for: Software engineer
Runs on: API, self-hosted
Pricing: Free
Released: July 2025
Category: AI agent tool
Website: acontext.io

Key features

Captures agent session runs
Distills successful outcomes into skills
Writes Markdown skill files using SKILL.md schema
Recalls skills via get_skill and get_skill_file
Exports skills as ZIP archives
Self-hosts on your own infrastructure

Use it for

Store agent execution memories as Markdown files
Improve AI agent performance across multiple runs
Integrate skill memory into agent frameworks

Alternatives to Acontext

Tigerless Agent Memory — Maintains agent history in portable, greppable Markdown files without API keys.
skillsync.com — Searches all past AI sessions before each prompt to prevent repeating work.
AI Memory — Shared memory for coding agents that works across machines and team members.
SkillClaw — Automatically evolves and unifies agent skills across devices and team members.
Agent Beacon — Retains coding agent knowledge across tools so errors do not repeat.
OpenViking — Unifies agent memory, knowledge RAG, and skills into a single directory structure.
AGiXT — Builds autonomous agents with integrated memory and web capabilities.
Agent Skills — Encodes senior-engineer workflows and quality gates into 24 skills.
Beeuni — Agents retain context and improve skills over time through a controlled review process.
memU — It gives every connected agent a shared and inspectable memory layer.
Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.

All Acontext alternatives