Search Results for "secrets"
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Showing 7 open source projects for "secrets"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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NullClaw
Fastest, smallest, and fully autonomous AI assistant infrastructure
...Its architecture is fully modular, using vtable interfaces that allow providers, channels, tools, memory backends, and runtimes to be swapped without code changes. NullClaw is secure by design, enforcing pairing-based authentication, strict sandboxing, encrypted secrets, resource limits, and workspace scoping by default. Designed for portability and independence, it supports OpenAI-compatible APIs, multiple tunnels, hardware peripherals, and edge deployments including WASM-based logic. -
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Hexis
Git-backed control plane for AI-agent skills, tools, context, identity
...A built-in remote MCP server lets compatible clients such as Claude, ChatGPT, Cursor, and Cline connect to the same governed workspace. Tool manuals can include encrypted secrets without exposing credentials directly to agents. Proposed skill changes can move through owner approval before they become available to the wider team. Hexis is self-hostable with Docker and is designed to keep agent capabilities portable across vendors. -
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ZeroClaw
Fast, small, and fully autonomous AI assistant infrastructure
...The framework features a compact single binary with fast cold and warm startup times and very low memory overhead, making it suitable even for resource-constrained hardware like small servers or edge devices. Security is a first-class concern, with sandbox controls, encrypted secrets, allowlisted operations, and scoped filesystem access by default, helping reduce risk when running autonomous agents. -
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Superagent
Superagent protects your AI applications
...It embeds real-time safety directly into AI workflows, helping teams secure models before threats cause damage. Superagent provides guardrails that block jailbreaks, prompt manipulation, and sensitive data exfiltration. It includes redaction tools to remove PII, PHI, and secrets automatically from text. The platform also scans code repositories to detect AI-specific attack vectors like repo poisoning. Superagent is designed for low-latency production environments and works with any major LLM provider. It enables teams to prove compliance with modern AI security and regulatory standards. -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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5
Moltworker
Run OpenClaw on Cloudflare Workers
...With this setup, developers can host and interact with a personal AI assistant that maintains persistent conversations, integrates with chat platforms, and provides a control UI protected by Cloudflare Access. The project includes web UIs, Cloudflare configuration files, and scripts to authenticate devices, manage environment secrets, and enable optional services like persistent R2 storage for chat history. -
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IronClaw
IronClaw is OpenClaw inspired but focused on privacy & security
IronClaw is a security-first, open-source personal AI assistant built in Rust and designed to keep your data fully under your control. It operates on the principle that your AI should work for you, not external vendors, ensuring all data is stored locally, encrypted, and never shared. The platform emphasizes transparency, offering auditable code with no hidden telemetry or data harvesting. IronClaw runs untrusted tools inside isolated WebAssembly (WASM) sandboxes with strict capability-based... -
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The Pope Bot
Autonomous AI agent that you can configure and build
The Pope Bot is an autonomous AI agent framework that lets users configure and run an AI-powered agent that can perform tasks continuously, day in and day out, by leveraging GitHub Actions, commit history, and secure workflows. It’s designed so that every action taken by the agent is logged as a git commit, giving users complete visibility into what the agent did, why it did it, and when, which makes actions auditable and reversible. The framework treats the repository itself as the agent’s...
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