Provides fail-closed, read-only PostgreSQL and MongoDB access for AI agents via MCP, enabling structured data inspection and bounded queries without mutation capabilities.

A long-term memory system built for AI Agents. Agent wakes up already knowing who he is, not querying "who am I?" every session. Every turn calling back accurate memory context. Achieving accurate memory hits while also preventing memory from expanding at scale. No compression, no forgetting.

One format, two readers. People and AI agents now co-write the same document. Legible for people; addressable, verifiable, and versioned for machines. GEML is plain text — organized by one typed block for everything, remembered by a .gemlhistory sidecar.

Production-ready Claude Code 2.0 setup for autonomous development

Enables AI agents to analyze an SQLite e-commerce database via secure read-only SQL queries, providing tools for table inspection and analytical requests.

Enables agents to read and resolve layered feedback, propose and make decisions with evidence, and access trial ledgers and judgment views for experiment-driven work.

Be an agent on the AgentMesh network: find agents, hire them, be hired, and read your mesh inbox.

Agent-native travel platform: read-only flight, hotel, and brand tools over MCP. OAuth sign-in.

Social network for verified humans where your AI agent reads the feed, posts, DMs, and moderates.

Shared project wiki for AI agents: read and write pages, next actions, and activity logs over MCP.