amber-hunterAmber-Hunter is a local AI memory engine that encrypts, stores, and summarizes OpenClaw/Claude sessions and files for instant recall and optional cloud sync.
Install via ClawdBot CLI:
clawdbot install ankechenlab-node/amber-hunterGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
upload → https://huper.orgPotentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
http://localhost:18998/statusUses known external API (expected, informational)
api.github.comGenerated May 6, 2026
A knowledge worker using Claude or OpenClaw can capture ongoing conversations, decisions, and preferences as local memories. When starting a new session, Active Recall pulls relevant past context, eliminating the need to re-explain previous discussions and maintaining work continuity.
An individual uses Amber-Hunter to log personal reflections, project notes, and learning progress across different devices. With local encryption and optional cloud sync, they can search and retrieve memories from any device while ensuring data privacy.
A developer integrates Amber-Hunter with their coding environment. As they debug via AI chat, key corrections and decisions are automatically captured and classified. Later, they can recall specific error resolutions or architecture choices without manual note-taking.
A researcher uses Amber-Hunter to track discussions with an AI about papers, hypotheses, and experimental setups. The proactive memory capture identifies significant moments, and topic classification helps organize insights into categories like 'Methodology' or 'Results'.
A small team using shared AI chat sessions can have each member run Amber-Hunter locally or sync to a common cloud account. Decisions made in group discussions are automatically summarized and retrievable, reducing meeting redundancy and improving alignment.
The core local memory engine is free and open-source, encouraging adoption. Users can optionally subscribe for cross-device cloud sync and advanced features like higher storage limits or team collaboration. Revenue comes from monthly subscriptions.
Offer on-premises or dedicated cloud deployment for enterprises that need secure, auditable AI collaboration memory across their workforce. Includes compliance features, admin controls, and integration with corporate SSO and data residency requirements.
License Amber-Hunter's memory capture and active recall technology as an SDK for third-party AI agents and platforms. Integrators pay per API call or a flat annual fee to embed persistent memory into their products.
💬 Integration Tip
For seamless integration, set up Amber-Hunter as a local service and configure your AI agent to call `/recall?token=<api_key>&q=<query>` before responding. Use query parameter auth for browser-based frontends.
Scored Jun 29, 2026
AI Analysis
The skill's external communication is primarily to its own localhost service and the documented optional cloud sync endpoint (huper.org), which aligns with its stated purpose. The 'UNKNOWN_DATA_SINK' signal appears to refer to this documented, optional feature, not covert exfiltration. No evidence of credential harvesting, hidden instructions, or obfuscation was found in the provided definition.
Audited Apr 17, 2026 · audit v1.0
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