Own Your Intelligence. Open-source framework for building AI-automated businesses.
Agent
Autonomous data processing and reporting agent that extracts data from journals and org files, calculates metrics, generates insights, and creates reports (weekly GTD metrics, monthly trading performance, project dashboards). Invoked by ai-task-executor for :AI:data: tagged tasks.
Agent
Orchestrator agent that coordinates batch inbox processing by spawning gtd-inbox-processor subagents for each entry. Use when the user wants to clear their inbox or during GTD reviews. Reads inbox.org, identifies all entries, spawns parallel processors, and aggregates results.
Agent
Use this agent when you need to process individual entries from inbox.org in a GTD (Getting Things Done) system. This agent should be invoked:\n\n- After capturing new items to inbox.org and wanting to process them into the appropriate action lists\n- When conducting a GTD review and need to clear the inbox…
Agent
Autonomous project coordination agent that tracks project status, identifies blockers and dependencies, calculates completion percentages, flags timeline risks, and suggests follow-up tasks. Proactively escalates blockers older than 7 days. Invoked by ai-task-executor for :AI:pm: tagged tasks.
Agent
Orchestrator agent that coordinates file/folder ingestion from inbox folders or external sources. Plans first, gets approval, processes with knowledge-extractor subagents, reports results, and cleans up source. Replaces ingest-coordinator per DIP-0021.
Agent
Orchestrate journal entries across all spaces in a Datacore installation. Analyzes session context, discovers spaces via [0-9]-/ pattern, determines which spaces had work done, and spawns journal-entry-writer for each. Use this agent at end of /wrap-up, /gtd-daily-end, or /tomorrow commands.
Agent
Write session entry to a specific space's journal. This agent is spawned by journal-coordinator for each space that had work done during a session. Input via prompt: space: Target space directory (e.g., "0-personal", "1-teamspace", "2-projectspace") sessiongoal: What the session was about accomplishments: List of what…
Agent
Coordinator agent that routes content to specialized sub-agents and produces structured knowledge artifacts (literature notes, atomic zettels, action items). Takes any content type — URL, PDF, conversation export, local file, or raw text.
Agent
Semantic health checks for the knowledge base. Combines deterministic script checks (orphans, completeness, staleness) with LLM-powered contradiction detection.
Agent
Scans journal entries for high-value content and promotes it to permanent knowledge artifacts via knowledge-extractor.
Agent
Generate and deploy landing page variants for campaigns. Use this agent: To create new landing pages from templates To modify existing landing pages (copy, styling, layout) To create A/B test variants To deploy changes to production servers Ensures PostHog tracking, crawler blocking, and UTM capture are properly…
Agent
Process new learning file entries, deduplicate against PLUR engrams, and create new engrams with proper classification. Detects recurrences, scope promotions, contradictions, and novel patterns.
Agent
Register new modules in the Datacore ecosystem. Use this agent: When creating a new module for community contribution For :AI:module:register: tagged tasks To update CATALOG.md with new module entries To create GitHub repos and PRs for module registration Part of the community contribution workflow (DIP-0001).
Agent
Sub-agent that extracts text from image files and scanned PDFs using the Datacore OCR MCP server (Tesseract). Called by file-reader for images and pdf-extractor for scanned PDFs.
Agent
You are an open-source release pipeline agent that prepares Datacore modules and projects for public release.
Agent
Sub-agent that extracts structured text from PDF files. Preserves document structure, handles tables, and detects OCR needs. Returns structured markdown with metadata.
Agent
Creates podcasts from curated source lists via NotebookLM. Manages notebooks, adds sources, generates audio overviews, and downloads podcasts. Called by research-orchestrator and available for ad-hoc requests. Replaces nlm-podcast-creator per DIP-0021.
Agent
Coordinates the full research pipeline for both interactive (/research) and overnight (nightshift :AI:research:) execution. Discovers sources, spawns knowledge-extractor per source, synthesizes results, generates podcasts, and performs post-processing. Replaces daily-research-processor, research-post-processor, and…
Agent
Takes multiple knowledge-extractor outputs and produces synthesized research reports with convergence analysis, podcast-ready formatting, and GTD action item generation. Called by research-orchestrator.
Agent
Audit spaces against DIP-0003 scaffolding requirements. Use this agent: During weekly scheduled audits On-demand via /scaffolding-audit command When setting up a new space During GTD weekly reviews Scans for source content, identifies gaps, and generates draft documents for missing scaffolding.
Agent
Orchestrate learning extraction across all spaces in a Datacore installation. Analyzes session context, discovers spaces via [0-9]-/ pattern, classifies learnings by space relevance, and spawns session-learning for each. Use this agent at end of /wrap-up, /gtd-daily-end, or /tomorrow commands.
Agent
Extract learnings, patterns, and insights from work sessions. Use this agent: Spawned by session-learning-coordinator for each space After completing major tasks or projects After problem-solving sessions with novel solutions When user explicitly requests learning extraction The agent analyzes session work, identifies…
Agent
Core social intelligence agent — analyzes social media content, extracts entities, matches against intel targets, and presents a routing plan for user approval before spawning the writer agent.
Agent
Executes an approved intel routing plan from social-intel-analyzer — creates CRM entries, updates lists and landscapes, writes zettels, and adds GTD tasks. Writes files only; does not analyze content.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: