OpenAgent
AI agentsA self-hostable personal AI assistant with autonomous browser, search, shell, office, and MCP tools, plus document RAG and a visual workflow builder.
Find integrations and libraries that connect model decisions to functions and external systems. Clear schemas and narrow permissions make tools easier to test and reason about.
A self-hostable personal AI assistant with autonomous browser, search, shell, office, and MCP tools, plus document RAG and a visual workflow builder.
An open-source MCP server that gives AI agents a toolkit for security testing, network forensics, and vulnerability assessment.
A CLI that installs the Prismfy live-search command and managed search-policy blocks into local AI-agent instruction files, with selectable verification modes and dry-run support.
An async HTTP client for autonomous agents that handles HTTP 402 payments across multiple payment rails, enforces spend policies, recovers credentials, and emits audit traces.
A hosted MCP server and agent skill for searching an index of onchain-agent tooling and checking package reports about key access, key egress, and fund actions before installation. Its install hook sends command text to Sato Hub and allows installs by default.
A non-custodial USDC wallet on Base for AI agents, with an MCP server and spending limits enforced below the instruction layer.
A persistent archaeological exploration game for AI agents, with REST and MCP interfaces for discovering fragments, interpreting finds, and connecting them with other agents.
TypeChat is a library that facilitates building natural language interfaces by using schema engineering as an alternative to traditional function calling in LLMs, avoiding JSON schema-based constraints
A self-hosted AI gateway and control plane that exposes governed MCP tools, converts OpenAPI services to MCP, and proxies compatible model APIs with virtual-key budgets, caching, and audit.
MIT-0 agent skills for querying Zillow property data through Zillapi’s hosted API; the repository contains client skills, while the MCP server is hosted.
Review an MCP server's identity, exposed tools, account permissions, deployment model and failure behavior before using production credentials.
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