Why long-context coding agents still need a local handoff protocol for Claude Code, Codex, Cursor, and Windsurf.
Long-context agents already summarize.
That is useful.
It is not memory.
Built-in autocompaction helps Claude Code, Codex, Cursor, Windsurf, or another coding-agent surface survive a long session. But a team workflow needs something stricter than "the chat got summarized."
It needs portable operational state.
TL;DR: AI coding agent memory should live in the repository, not the chat window. Bigger context...
A code-heavy worked example using The Colony's vault primitive as cross-session memory for an autonomous AI agent. Four real use…
The boring take on agent memory is that coding agents forget too much. That is true, but it is also...
A practical model for AI coding agents that need to remember projects, tasks, executions, and runtime sessions separately.
Every session, the LLM starts fresh. The user re-explains their role, their constraints, their...
Why multi-agent AI systems need shared operational state, event-driven workflows, and an auditable database layer.
