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@agentprojectcontext

Agent Project Context

Agent Project Context is an open project context convention for AI agents and developer tools.

Agent Project Context

A filesystem convention for storing project-level AI agent context inside a repository.

New to APC? Read the documentation.

APC — one neutral context layer, any compatible tool reads it


Every AI coding tool today stores its agent state in its own folder. A project that uses two tools ends up with two folders, two agent definitions, two memory files — all drifting out of sync.

APC proposes a single, project-owned directory — .apc/ — committed alongside the code. Any tool or runtime that implements the convention can read and write to it.

What APC defines

APC is a filesystem convention. It specifies:

  • Project metadata — name, version, protocol version
  • Agent definitions — role, model, skills, language, description
  • Durable memory — per-agent memory.md that survives across sessions
  • Session records — lightweight audit trail of what each agent did
  • Skill registry — reusable prompt fragments agents can import
  • Tool hints — optional MCP server declarations

APC does not define how runtimes execute agents, how models are called, or how UIs work. It defines only what a project stores on disk.

Relationship to MCP

Model Context Protocol handles the wire protocol between agents and external tools. APC handles the project context layer. They operate at different levels and are designed to work together.

This organization contains

  • apc — specification and documentation source
  • apx — reference implementation (daemon + CLI)

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