Ambient discovery and research engine for Claude Code.
interject continuously scans arXiv, Hacker News, GitHub, Anthropic docs, and Exa for new capabilities, tools, and research relevant to your projects. It builds a learned interest profile from your promote/dismiss signals and gets better at surfacing relevant discoveries over time.
When something interesting turns up, it creates a briefing with context about why it matters for your specific projects: not just "here's a new paper" but "here's a new paper and here's how it relates to the embedding infrastructure you're building in intersearch."
High-relevance discoveries get promoted to brainstorm docs and beads. Medium relevance gets briefings. Everything else goes in the digest. The confidence tiering means you're not drowning in noise.
First, add the interagency marketplace (one-time setup):
/plugin marketplace add mistakeknot/interagency-marketplaceThen install the plugin:
/plugin install interjectRequires intersearch as a dependency (shared embedding infrastructure).
Scan for new discoveries:
/interject:scan
Check your inbox:
/interject:inbox
View and manage your interest profile:
/interject:profile
src/interject/ Python library with pluggable source adapters
skills/ scan, discover, inbox, profile, status
server/ MCP server (Python/FastMCP, launched via uv run)
SQLite database tracks discoveries, promotions, feedback signals, and query history. The recommendation engine uses scored ranking with feedback-driven weight adjustments.