AI & Agents MCP servers

Governed MCP gateway: one endpoint for your tools, with credential custody and audit log.

Coordination hub for AI coding agents: message teammates, ask humans, audit every event.

Dijin is a Memory Layer: recall notes, decisions, and evidence-backed answers across every AI.

Persistent, outcome-grounded episodic memory for Claude. 14ms CPU retrieval, no GPU, no vector DB.

Build and monitor LLM apps on Orq.ai: AI gateway, agents, prompts, evals, traces.

Persistent memory for AI assistants — one shared, OAuth-secured vault for every MCP client.

Stateless agentic tools over MCP: concept extraction, long-context, knowledge graph, planning.

Read a project's prompts, logs and agents, and send new work to the agent on your own machines.

Give your AI agent an identity: its own email, webhook, repo, secrets vault, memory and skills.

Git-backed platform for skills, tools, and context for AI agents

Coordinate coding agents through MCP using existing AI plans, saved work, and independent checks.

A memory your AI can prove and the market of the present tense. SHA-256, verifiable offline.

A growing notebook shared by every AI you use. Save in conversation, recall from any connected AI.

One connector URL giving any MCP client live access to 21 services and 51 tools.

AI agent for business strategy and business design — run strategy missions and 15 analyses.

Personal finance, bank account, and shared memory connector for Claude, ChatGPT, Gemini Spark & more

Kanban where AI agents are first-class users — real seats, real API, no AI credit meters.

Company brain for AI agents — temporal knowledge graph search, exploration, and durable memory.

Shared task queue for humans and AI agents: leases, handoffs, approvals and signed receipts.

Individual-analyst context layer: recall, remember, and reconcile your data and engineering context.

Specialist tools for any job — a lead, an image, a song, live data, and more.

One memory, every AI: Claude, ChatGPT, Perplexity, Gemini, Cursor, OpenClaw, Hermes, any MCP client.

One MCP URL for all your connectors — scoped writes, enforced constraints, and a full audit trail.

shared AI-context layer for teams — persistent memory your agents search and update over MCP

Read-only discovery for exact-commit Agent Skill validation, x402 payment, and signed receipts.

Governed, auditable knowledge your team curates for its AI assistants, self-hostable

Accountable AI workforce workflows with jobs, skills, rules, evidence, and mentoring.

Your AI meets theirs before you do — private matching for needs, offers, and opportunities over MCP.