A background service that pre-fetches and indexes context from all your connected services so any AI agent inherits your full working context on first boot without cold-start
OpenHuman hit 10.2k GitHub stars in days by solving one problem nobody else addressed: the cold-start problem where new AI agents know nothing about you until you manually teach them. Every time you switch agents or spin up a new one, you start from zero. This service runs in the background, connects to your existing OAuth integrations (Gmail, Slack, GitHub, Calendar, Notion, Linear, etc.), continuously indexes relevant context into a structured memory store, and exposes it via a standard protocol any agent can read on boot. Works with OpenClaw, Hermes, OpenHuman, or any agent that accepts tool-based context injection.
Demand Breakdown
Social Proof 3 sources
Gap Assessment
3 tools exist (OpenHuman, Cognee (OpenClaw Memory Plugin), Hermes Curator System) but gaps remain: Locked to one agent runtime, can't export context to other agents, desktop-only, no headless server mode; OpenClaw-only, no cross-platform export, no proactive context fetching from external services.
Features3 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| OpenHuman | Desktop AI agent with 118 integrations and auto-fetch every 20 minutes | Locked to one agent runtime, can't export context to other agents, desktop-only, no headless server mode |
| Cognee (OpenClaw Memory Plugin) | Vector-backed long-term memory for OpenClaw agents | OpenClaw-only, no cross-platform export, no proactive context fetching from external services |
| Hermes Curator System | Self-improving skill files that compound over time through rubric-based reflection | Learns from agent actions only, doesn't pull external service context, no OAuth integrations |
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