awaekPersonal source engine for saved X bookmarks. Ask, draft, decide, and plan from saved posts using local evidence.
Install via ClawdBot CLI:
clawdbot install 1lystore/awaekGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
curl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh |Calls external URL not in known-safe list
https://github.com/1lystore/awaekUses known external API (expected, informational)
raw.githubusercontent.comAudited May 24, 2026 · audit v1.0
Generated Oct 6, 2026
A user who saves hundreds of X bookmarks for research can ask Awaek natural-language questions and receive answers grounded in their own saved posts rather than general model memory. It retrieves only focused evidence chunks, keeping the process local and efficient. This turns a chaotic bookmark pile into a searchable personal knowledge base.
Creators and consultants can draft posts, threads, or reports by pulling relevant saved evidence before writing. Awaek builds a retrieval plan, returns matching bookmarks with URLs, and lets the user cite real sources. This reduces hallucination and keeps drafts anchored in material the user already trusted enough to save.
Startup operators who bookmark strategy, product, and market posts can use Awaek to run decision workflows backed by their own saved evidence. The tool compares relevant saved posts, surfaces themes, and notes when evidence is weak or missing. It functions as a local decision journal with retrieval.
Journalists, analysts, and privacy-sensitive researchers can keep all bookmark data in a local SQLite database under their home directory. X access uses the local xurl CLI, and secrets never enter the chat. This makes it suitable for sensitive work where cloud storage of reading history is not acceptable.
Users can list learned topics, inspect scopes, and review safe-domain link stats from their saved collection. This helps identify recurring interests, track reading themes over time, and surface pending links worth revisiting. It supports both personal curation and team knowledge mapping.
Awaek is published as an open-source skill under an author's GitHub with a free MIT-style local install. Revenue comes from GitHub sponsorships, donations, or grants rather than software licensing. The maintainer builds reputation and an audience while users keep their data local.
The local core stays free, while a paid cloud layer offers cross-device sync, encrypted backup, and richer theme analytics. Users who want convenience and dashboards pay a monthly subscription. The local-first design preserves trust while monetizing optional infrastructure.
A paid tier bundles Awaek with drafting assistants, citation export, team shared libraries, and newsletter or report publishing workflows. The target buyer is a creator, analyst, or small consultancy that monetizes curated insights. Pricing can be seat-based or usage-based.
💬 Integration Tip
Install Python 3 and the xurl CLI first, complete one-time OAuth setup outside chat, then run the setup and first bookmark sync before using ask, draft, plan, or decide workflows.
Scored Aug 24, 2026
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