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The persistent open-source environment layer for all your AI agents.
• Deploys AI automation agents to handle routine business tasks. • Extracts and processes unstructured data from various sources. • Connects multiple software tools to create seamless workflows. • Reduces manual data entry and human error in operations.
Decouples key skills and memory layers securely from specific AI models Runs workspaces inside Intel TDX hardware-encrypted isolated environments Supports 500 plus software app integrations natively via Composio connectors Unified open-source CLI that simplifies multi-agent local state synchronization Maintains cross-framework persistent context across model version upgrades
Category: AI & Automation
Team Size: 2-10
Visit WebsiteClawdi is an open-source agent environment layer and hosting platform designed to decouple an AI agent's memory, skills, API secrets, and application integrations from its underlying execution model engine. It provides cross-framework stability by serving as a unified backend infrastructure for frameworks like Claude Code, OpenClaw, Codex, and Hermes. By allowing users to freely switch engines without rebuilding context, it functions as a highly secure, hardware-encrypted cloud control center. Clawdi optimizes agent execution via its pluggable runtime, native desktop CLI tool, and multi-channel messaging endpoints.
Clawdi was developed in early 2026 by an independent open-source team seeking to eliminate the frustrating infrastructure rebuilding process when switching between emerging AI agent architectures. Recognizing that developers lost multi-week engineering efforts replicating cron tasks, API keys, and memory states upon shifting engines, they built an abstraction layer to isolate the developer's operational space from rapid model evolution.