By mistakeknot
Ambient discovery and research engine. Continuously scans arXiv, Hacker News, GitHub, and Anthropic docs for new capabilities, workflows, and tools relevant to your engineering ecosystem. Creates beads with briefings and draft plans based on a learned recommendation model.
Deep dive on a specific topic across all sources
Review pending discoveries — promote or dismiss interactively
View and tune your Interject interest profile
Run a full scan across all sources or a specific source for new discoveries
Dashboard of scan health, recommendation stats, and adapter status
Executables (bin/) — files in this plugin's bin/directory are added to the Bash tool's PATH while the plugin is enabled.
Admin access level
Server config contains admin-level keywords
Requires secrets
Needs API keys or credentials to function
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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-marketplace
Then install the plugin:
/plugin install interject
Requires 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.
npx claudepluginhub mistakeknot/interagency-marketplace --plugin interject[DEPRECATED — use intervox] Analyze your writing style and adapt Claude's output to sound like you. Replaced by intervox (via the interim intervoice), which adds a measured stylometric fingerprint, LLMism linter, and verified closed-loop apply on top of the global multi-register profile.
Self-improving agent rig: codifies product and engineering discipline into composable workflows from brainstorm to ship. Compounds knowledge, generates domain agents, monitors its own docs, and surfaces conservative update drift. Orchestrates Claude, Codex, and Oracle through 6 agents, 57 commands, 20 skills, 0 MCP servers. Factory substrate: CXDB turn DAG, scenario bank with satisfaction scoring, evidence pipeline, agent capability policies. Companions: interspect, interphase, interline, interflux, interpath, interwatch, interslack, interform, intercraft, interdev, interpeer, intertest.
Recursive AGENTS.md generator with integrated Oracle critique, CLAUDE.md harmonization, incremental updates, diff previews, and smart monorepo scoping. Cross-AI compatible.
Token efficiency benchmarking, session analytics, and API-equivalent cost analysis for agent workflows
Multi-agent review and research with scored triage, domain detection, content slicing, intermediate finding sharing, and knowledge injection. 17 agents (12 review + 5 research), 8 commands (incl. flux-melange — a goal-seeking adaptive review loop with lens fusion and novelty/risk/taste scoring), 3 skills (flux-engine, flux-review-engine, flux-melange-engine), 2 MCP servers (exa, openrouter-dispatch). Companion plugin for Clavain.
Autonomous, personalized research loops for Claude Code. Set a topic, walk away, come back to a quality-gated report adapted to your projects.
Research existing solutions when exploring a new problem space
Multi-source research plugin — code archaeology, community discourse, academic literature, and TRIZ cross-domain analysis with domain-adaptive depth
Deep research coordination: academic papers, technical analysis, data insights, and web intelligence
Agents for academic, market, and technical research, synthesis, and reporting
Research what is actually new about any topic in a recent time window. Full-content web results via Firecrawl, plus honest engagement signals from Hacker News and GitHub. No LLM key needed - the agent harness synthesizes the brief.