scion

Turn a coding-AI chat session (Claude Code or Codex CLI) into a deployable, continuously-learning subject-matter-expert agent that any MCP-aware host can talk to.

scion extracts everything from a Claude Code or Codex CLI session — every message, every tool call, every memory file, every skill, every config — distills it into a portable, git-committable Agent Bundle, and serves the bundle as a stdio MCP server. Your colleague's Claude Code or Codex CLI calls /mcp__scion-<name>__ask (or the query tool) and gets a grounded answer. The bundle learns from every interaction via a nightly dream loop that consolidates new episodes into memory, gated by an evaluation ratchet so the agent cannot silently degrade.

Status

Pre-alpha. Building toward v0.1.0 (Phases 1–4 of the PRD).

Three-command quickstart (target — not yet runnable)

uv tool install scion
scion init demo
scion demo                  # full pipeline against synthetic fixture, no API key

Once Phase 1 ships, replace the third line with:

scion extract claude-code --cwd ~/proj/recon --output ./bundles/recon-sme
scion install claude-code ./bundles/recon-sme
# Restart Claude Code → /mcp__scion-recon-sme__ask "how do partial refunds work?"

How it compares

Supported on

Linux + macOS, Python 3.11/3.12/3.13. Windows is out of scope for v0.1.0.

License

Apache-2.0.

Contributing

See CONTRIBUTING.md. DCO sign-off required (git commit -s); a hook is provided.