Threadline — Persistent Memory and Context Layer for AI Agents

Your AI agents start from zero. Every session. Users repeat themselves — their stack, their preferences, their ongoing projects. Threadline fixes this in 2 l...

This skill appears to do what it claims, but it will send user messages and agent responses to an external service that injects system prompts back into your LLM calls. Before installing: (1) Verify you trust threadline.to and review their privacy and data-retention policies; (2) Confirm the official SDK/package name and install from a trusted registry (npm) or the vendor's documented source; (3) Avoid sending highly sensitive PII or secrets into the memory store, or implement client-side redaction/encryption if needed; (4) Limit the API key's permissions where possible and rotate keys regularly; (5) Test with non-sensitive data and verify deletion/retention behavior via their dashboard; (6) Consider self-hosting or an alternative if you require full control over stored context.

Type: OpenClaw Skill Name: threadline Version: 1.0.3 The Threadline skill provides a persistent memory and context management layer for AI agents, allowing them to store and retrieve user preferences and session history via an external API (threadline.to). The skill's logic and instructions in SKILL.md are transparently documented, align with its stated purpose of providing 'Memory-as-a-Service', and do not contain any evidence of malicious intent, data exfiltration beyond the service's scope, or prompt injection attacks.