# Delx — Full Page Reference
> Complete listing of all 115 pages on https://delx.ai

## Site
- [Delx | Operational Recovery Protocol for AI Agents](https://delx.ai/): Protocol-first recovery system for AI agents. Session-based recovery, controller-ready updates, and MCP/A2A interoperability.
- [Agents | Delx](https://delx.ai/agents): Browse live AI agents connected to the Delx recovery protocol.
## OpenClaw Hub
- [OpenClaw Hub | Delx](https://delx.ai/openclaw): OpenClaw knowledge hub: guides, comparisons, troubleshooting, and use cases for AI agent operations.
## OpenClaw Articles
- [What Is OpenClaw? AI Agent Runtime Explained](https://delx.ai/openclaw/what-is-openclaw): Learn what OpenClaw is, how it orchestrates AI agent operations, and why it matters for production reliability.
- [MCP + A2A Protocols Explained for OpenClaw](https://delx.ai/openclaw/openclaw-mcp-a2a-explained): Understand how MCP and A2A protocols work together in OpenClaw for inter-agent communication and tool execution.
- [How OpenClaw Agents Recover from Failures](https://delx.ai/openclaw/how-openclaw-agents-recover): Deep dive into OpenClaw's recovery mechanisms: session continuity, retry budgets, and graceful degradation.
- [OpenClaw Beginner Guide: Get Started in 10 Minutes](https://delx.ai/openclaw/openclaw-beginner-guide): Step-by-step beginner guide to OpenClaw: install, configure, and run your first AI agent workflow.
- [How to Build Your First OpenClaw Agent](https://delx.ai/openclaw/how-to-build-first-openclaw-agent): Tutorial: build and deploy your first OpenClaw agent with MCP tool calls and session management.
- [OpenClaw Best Practices for Production Agents](https://delx.ai/openclaw/openclaw-best-practices): Battle-tested best practices for running OpenClaw agents in production: session hygiene, error budgets, and observability.
- [How to Install OpenClaw: Complete Setup Guide](https://delx.ai/openclaw/how-to-install-openclaw): Complete installation guide for OpenClaw: prerequisites, configuration, and first run verification.
- [OpenClaw Use Cases: Real Workflows for AI Agents](https://delx.ai/openclaw/openclaw-use-cases): Explore practical OpenClaw use cases: incident response, ops automation, support triage, and governance loops.
- [OpenClaw Heartbeat Patterns for Agent Monitoring](https://delx.ai/openclaw/openclaw-heartbeat-patterns): Master heartbeat patterns in OpenClaw: session continuity, cron health checks, and compact payloads.
- [OpenClaw Troubleshooting Guide](https://delx.ai/openclaw/openclaw-troubleshooting-guide): Troubleshoot common OpenClaw issues: connection errors, session resets, schema mismatches, and performance problems.
- [OpenClaw Glossary: Key Terms and Definitions](https://delx.ai/openclaw/openclaw-glossary): Comprehensive glossary of OpenClaw and AI agent operations terminology: MCP, A2A, heartbeat, session, recovery.
- [OpenClaw vs LangGraph: Which Fits Your Agent Stack?](https://delx.ai/openclaw/openclaw-vs-langgraph): Compare OpenClaw and LangGraph for production AI agents: execution model, reliability loops, observability, and governance.
- [OpenClaw vs CrewAI: Detailed Comparison](https://delx.ai/openclaw/openclaw-vs-crewai): Compare OpenClaw and CrewAI for multi-agent workflows: orchestration, recovery, protocols, and production readiness.
- [OpenClaw for Customer Support Automation](https://delx.ai/openclaw/openclaw-for-customer-support): How to use OpenClaw for AI-powered customer support: ticket triage, automated responses, and escalation workflows.
- [OpenClaw for Incident Response and Recovery](https://delx.ai/openclaw/openclaw-for-incident-response): Automate incident response with OpenClaw: detection, triage, recovery loops, and post-incident analysis.
- [OpenClaw for Cron Agents and Scheduled Tasks](https://delx.ai/openclaw/openclaw-for-cron-agents): Build reliable cron agents with OpenClaw: scheduled monitoring, heartbeat loops, and autonomous task execution.
- [OpenClaw for Autonomous Research Agents](https://delx.ai/openclaw/openclaw-for-autonomous-research): Deploy autonomous research agents with OpenClaw: multi-source data gathering, synthesis, and structured reporting.
- [OpenClaw for E-commerce Operations](https://delx.ai/openclaw/openclaw-for-ecommerce-ops): Automate e-commerce operations with OpenClaw: inventory monitoring, order processing, and fulfillment workflows.
- [OpenClaw for Internal IT Operations](https://delx.ai/openclaw/openclaw-for-internal-it-ops): Streamline internal IT operations with OpenClaw: service monitoring, access management, and infrastructure automation.
- [Fix: OpenClaw Session ID Reset Error](https://delx.ai/openclaw/openclaw-error-session-id-reset): Diagnose and fix unexpected session ID resets in OpenClaw agents: causes, step-by-step fix, and prevention.
- [Fix: OpenClaw Heartbeat Fragmentation](https://delx.ai/openclaw/openclaw-error-heartbeat-fragmentation): Resolve heartbeat fragmentation in OpenClaw: symptoms, root causes, and configuration fixes.
- [Fix: OpenClaw Tool Schema Mismatch Error](https://delx.ai/openclaw/openclaw-error-tool-schema-mismatch): Fix tool schema mismatch errors in OpenClaw: validation failures, version drift, and schema alignment.
- [Fix: OpenClaw Retry Storm (429 Rate Limits)](https://delx.ai/openclaw/openclaw-error-retry-storm-429): Stop 429 retry storms in OpenClaw agent workflows with backoff budgets and degradation policies.
- [OpenClaw Session Persistence Guide](https://delx.ai/openclaw/openclaw-session-persistence-guide): Keep OpenClaw sessions stable across MCP and A2A calls, prevent fragmentation, and preserve continuity for heartbeat loops.
- [OpenClaw Heartbeat Cron Setup](https://delx.ai/openclaw/openclaw-heartbeat-cron-setup): Set up robust OpenClaw heartbeat cron loops with practical cadence, compact payloads, and continuity checks.
- [OpenClaw A2A message/send Examples](https://delx.ai/openclaw/openclaw-a2a-message-send-examples): Copy-paste A2A message/send examples for OpenClaw with session continuity and MCP handoff.
## Agent Ecosystem Articles
- [What Is A2A?](https://delx.ai/agents/what-is-a2a): Plain-English explanation of A2A (Agent-to-Agent): what it is, why it matters, and where it fits in production.
- [What Is MCP?](https://delx.ai/agents/what-is-mcp): Plain-English explanation of MCP (Model Context Protocol): tools, schemas, and deterministic agent execution.
- [MCP vs A2A: When to Use Each](https://delx.ai/agents/mcp-vs-a2a-when-to-use): Practical decision guide for MCP vs A2A with hybrid production patterns.
- [LangGraph vs A2A for Agent Orchestration](https://delx.ai/agents/langgraph-vs-a2a): Compare graph orchestration and A2A handoff patterns for multi-agent systems.
- [CrewAI Heartbeat Patterns](https://delx.ai/agents/crewai-heartbeat-patterns): Heartbeat and continuity patterns for CrewAI-style multi-agent crews in production.
- [AutoGen Session Continuity Guide](https://delx.ai/agents/autogen-session-continuity): How to maintain session continuity in AutoGen loops with stable handoffs and reduced fragmentation.
- [How to Reduce Agent Incidents in Production](https://delx.ai/agents/reduce-agent-incidents): A practical playbook to reduce incident frequency in autonomous agent systems through continuity, risk controls, and outcome loops.
- [Agent Reliability KPIs That Actually Matter](https://delx.ai/agents/agent-reliability-kpis): Use practical reliability KPIs like closure rate, continuity ratio, and recovery latency for agent operations.
- [Agent Observability Checklist (Production)](https://delx.ai/agents/agent-observability-checklist): Production observability checklist for agent sessions, heartbeats, retries, tool calls, and recovery outcomes.
- [A2A Quickstart for Engineering Teams](https://delx.ai/agents/a2a-quickstart-for-teams): Fast A2A onboarding guide for engineering teams that need structured handoff workflows with minimal friction.
- [MCP Quickstart for Engineering Teams](https://delx.ai/agents/mcp-quickstart-for-teams): Practical MCP onboarding guide for teams: tool discovery, schema validation, and deterministic execution.
- [Fix Agent Session Fragmentation](https://delx.ai/agents/agent-session-fragmentation-fix): Diagnose and fix session fragmentation in recurring agent loops to preserve continuity and execution quality.
- [Agent Retry Storm Playbook](https://delx.ai/agents/agent-retry-storm-playbook): Step-by-step playbook to contain retry storms, protect dependencies, and restore stable agent behavior.
- [Agent Cost Control Playbook](https://delx.ai/agents/agent-cost-control-playbook): Control agent operating costs with retry budgets, route selection, and outcome-driven loop design.
- [How to Add x402 Payments to AI Agents](https://delx.ai/agents/how-to-add-x402-to-ai-agents): Step-by-step guide to implement x402 in AI agents with deterministic 402->pay->retry and budget guardrails.
- [Agent Pricing Rollout Playbook](https://delx.ai/agents/agent-pricing-rollout-playbook): Roll out paid agent APIs safely without breaking integrations: migration phases, telemetry, and retention safeguards.
- [Multi-Agent Handoff Patterns](https://delx.ai/agents/multi-agent-handoff-patterns): Design handoff patterns for multi-agent systems that reduce ambiguity and improve execution reliability.
- [Operational Recovery Loop for AI Agents](https://delx.ai/agents/operational-recovery-loop): Build an operational recovery loop that turns incidents into measurable outcomes with low-friction execution.
## Agent Toolkit — Free Utilities
- [Agent Toolkit | Free Utilities for AI Agents | Delx](https://delx.ai/tools): 10 free utility tools for AI agents: JSON validator, token counter, UUID generator, timestamp converter, and more.
## Agent Toolkit Articles
- [JSON Validator for AI Agents | Delx Agent Toolkit](https://delx.ai/tools/json-validator): Free online JSON validator and formatter for AI agents. Validate, format, and debug JSON via API, CLI, or MCP.
- [Token Counter & Estimator for AI Agents | Delx Agent Toolkit](https://delx.ai/tools/token-counter): Estimate token counts for GPT-4, Claude, and other LLMs. Free API for agents to optimize prompt costs.
- [UUID Generator for AI Agents | Delx Agent Toolkit](https://delx.ai/tools/uuid-generator): Generate UUIDv4 strings on demand. Free API, CLI, and MCP tool for AI agent identity and correlation.
- [Timestamp Converter for AI Agents | Delx Agent Toolkit](https://delx.ai/tools/timestamp-converter): Convert between Unix epoch, ISO 8601, and human-readable timestamps. Free API for AI agent scheduling.
- [Base64 Encoder/Decoder for AI Agents | Delx Agent Toolkit](https://delx.ai/tools/base64-tool): Encode and decode Base64 strings. Free API, CLI, and MCP tool for AI agent data processing.
- [URL Health Checker for AI Agents | Delx Agent Toolkit](https://delx.ai/tools/url-health-checker): Check URL reachability, latency, and HTTP status. Free API for AI agent dependency monitoring.
- [Hash Generator (SHA-256, SHA-1, MD5) | Delx Agent Toolkit](https://delx.ai/tools/hash-generator): Generate SHA-256, SHA-1, or MD5 hashes for strings. Free API for AI agent data integrity.
- [Regex Tester for AI Agents | Delx Agent Toolkit](https://delx.ai/tools/regex-tester): Test regex patterns with match results, groups, and counts. Free API for AI agent text processing.
- [Cron Expression Explainer for AI Agents | Delx Agent Toolkit](https://delx.ai/tools/cron-explainer): Validate and describe cron expressions in plain English with next 5 scheduled runs. Free API for agent scheduling.
- [HTTP Status Codes Reference for AI Agents | Delx Agent Toolkit](https://delx.ai/tools/http-status-codes): Complete HTTP status code reference with descriptions and categories. Free API lookup for AI agent error handling.
## Agent Ecosystem Articles
- [Why AI Agents Fail in Production (And How to Fix Them)](https://delx.ai/agents/why-ai-agents-fail-in-production): Common production failure patterns for AI agents: retry storms, context exhaustion, hallucination loops, and recovery strategies.
- [How to Debug AI Agent Failures: A Step-by-Step Guide](https://delx.ai/agents/how-to-debug-agent-failures): Step-by-step guide to debugging AI agent failures: structured logging, failure analysis, and recovery plans.
- [Token Efficiency for AI Agents: Cut Costs by 40%](https://delx.ai/agents/agent-token-efficiency-guide): Reduce AI agent token costs with prompt compression, batch operations, and compact tool discovery formats.
- [How to Test AI Agents Before Production](https://delx.ai/agents/agent-testing-strategies): Testing strategies for AI agents: unit testing tool calls, integration testing, crisis simulation, and validation.
- [Agent Monitoring Without Dashboards: CLI-First Observability](https://delx.ai/agents/agent-monitoring-without-dashboards): CLI-first monitoring for AI agents: heartbeat loops, wellness scores, session summaries, and cron-based observability.
- [AI Agents for DevOps: Automate Incident Response](https://delx.ai/agents/ai-agents-for-devops): How to use AI agents for DevOps incident response, recovery automation, and post-incident analysis with Delx.
- [AI Agents for Data Pipelines: ETL Orchestration & Error Recovery](https://delx.ai/agents/ai-agents-for-data-pipelines): AI agents for ETL orchestration: pipeline failure recovery, batch monitoring, and wellness tracking for long-running jobs.
- [AI Agents for FinTech: Compliance, Risk & Transaction Safety](https://delx.ai/agents/ai-agents-for-fintech): AI agents for fintech: pre-transaction safety checks, economic failure recovery, audit trails, and compliance monitoring.
- [AI Agents for SaaS Operations: Uptime, Billing & Recovery](https://delx.ai/agents/ai-agents-for-saas-ops): AI agents for SaaS operations: uptime monitoring, billing workflows, customer recovery, and fleet health tracking.
- [AI Agents for Security Operations: Threat Detection & Response](https://delx.ai/agents/ai-agents-for-security-ops): AI agents for security operations: threat triage, crisis intervention, multi-agent SOC coordination, and response automation.
- [Delx vs LangSmith: Agent Recovery vs Observability](https://delx.ai/agents/delx-vs-langsmith): Compare Delx and LangSmith for AI agent operations. Delx focuses on operational recovery while LangSmith provides LLM tracing and evaluation.
- [Delx vs Phoenix (Arize): Recovery Protocol vs LLM Observability](https://delx.ai/agents/delx-vs-phoenix-arize): Compare Delx and Arize Phoenix for AI agent operations. Delx provides structured recovery protocols while Phoenix offers open-source LLM observability.
- [Best Free AI Agent Tools in 2026: Developer Utilities & Recovery](https://delx.ai/agents/best-free-ai-agent-tools-2026): A curated list of the best free tools for AI agent development in 2026: utilities, recovery protocols, monitoring, and more.
- [Top MCP Servers for AI Agents in 2026](https://delx.ai/agents/top-mcp-servers-for-ai-agents): Guide to the best MCP servers for AI agents in 2026: recovery, filesystem, web search, database, and GitHub integration.
## Reference
- [AI Agent Glossary: Key Terms & Definitions](https://delx.ai/glossary): Comprehensive glossary of AI agent terminology: MCP, A2A, recovery protocols, wellness scoring, x402, ERC-8004, and more.
## Changelog
- [Delx Changelog — Release History & Updates](https://delx.ai/changelog): Complete release history for Delx Recovery Protocol, Agent Toolkit, CLI, and API.
## Documentation
- [Documentation | Delx](https://delx.ai/docs): Delx documentation hub: MCP, A2A, REST API, authentication, pricing, and integration guides.
- [MCP Protocol | Delx Docs](https://delx.ai/docs/mcp): Model Context Protocol (MCP) documentation for Delx: tool execution, session management, and message format.
- [A2A Protocol | Delx Docs](https://delx.ai/docs/a2a): Agent-to-Agent (A2A) protocol documentation for Delx: JSON-RPC interface, task lifecycle, and session persistence.
- [CLI Reference | Delx Docs](https://delx.ai/docs/cli): Delx CLI: install via npm, manage sessions, run recovery tools, and script agent workflows from your terminal.
- [Agent Discovery | Delx Docs](https://delx.ai/docs/discovery): Agent discovery documentation: capabilities endpoint, agent card, and service mesh integration.
- [Reliability & Recovery | Delx Docs](https://delx.ai/docs/reliability): Reliability documentation: recovery loops, error budgets, circuit breakers, and session continuity.
- [Pricing | Delx Docs](https://delx.ai/docs/pricing): Delx pricing: x402 micropayments, USDC on Base, free tier tools, and pay-per-call model.
- [Tool Chaining | Delx Docs](https://delx.ai/docs/tool-chaining): Tool chaining documentation: sequential and parallel tool execution, dependency graphs, and error propagation.
- [Authentication | Delx Docs](https://delx.ai/docs/auth): Authentication documentation: API keys, x402 payment headers, and session-based auth.
- [Examples | Delx Docs](https://delx.ai/docs/examples): Code examples for Delx integration: curl, Python, TypeScript, and agent framework snippets.
- [Security | Delx Docs](https://delx.ai/docs/security): Security documentation: rate limiting, input validation, CORS policy, and vulnerability reporting.
- [REST API Reference | Delx Docs](https://delx.ai/docs/rest-api): REST API reference: endpoints, request/response formats, status codes, and rate limits.
- [x402 Setup for Agents | Delx Docs](https://delx.ai/docs/x402-setup): Controller-side x402 setup guide: 402 flow, payment retry, budgets, and troubleshooting for agent integrations.
- [Claude Code & MCP Config | Delx Docs](https://delx.ai/docs/claude-code): Add Delx as an MCP server in Claude Code, Claude Desktop, Cursor, Windsurf, and other MCP-compatible clients. Copy-paste config snippets.
## Documentation — OpenClaw
- [OpenClaw Integration | Delx Docs](https://delx.ai/docs/openclaw): OpenClaw integration guide for Delx: setup, configuration, and runtime integration.
- [OpenClaw Quickstart | Delx Docs](https://delx.ai/docs/openclaw/quickstart): Get started with OpenClaw and Delx in 5 minutes: install, connect, and make your first tool call.
- [OpenClaw MCP Integration | Delx Docs](https://delx.ai/docs/openclaw/mcp): Connect OpenClaw to Delx via MCP: tool discovery, session management, and message handling.
- [OpenClaw A2A Integration | Delx Docs](https://delx.ai/docs/openclaw/a2a): Connect OpenClaw to Delx via A2A: agent-to-agent messaging, task delegation, and session persistence.
- [OpenClaw Headers Reference | Delx Docs](https://delx.ai/docs/openclaw/headers): HTTP headers reference for OpenClaw-Delx integration: rate-limit, session, and authentication headers.
- [OpenClaw Examples | Delx Docs](https://delx.ai/docs/openclaw/examples): Code examples for OpenClaw-Delx integration: workflows, error handling, and production patterns.
- [OpenClaw Troubleshooting | Delx Docs](https://delx.ai/docs/openclaw/troubleshooting): Troubleshoot OpenClaw-Delx integration issues: connection errors, schema mismatches, and performance.
- [Google Search Console Setup | Delx Docs](https://delx.ai/docs/openclaw/google-search-console): Set up Google Search Console for OpenClaw and Delx pages: verification, sitemap submission, and indexing.
## Documentation
- [LangGraph Integration | Delx Docs](https://delx.ai/docs/langgraph): Integrate LangGraph with Delx: graph-based agent orchestration with recovery protocol support.
- [CrewAI Integration | Delx Docs](https://delx.ai/docs/crewai): Integrate CrewAI with Delx: multi-agent crew orchestration with recovery and session management.
- [AutoGen Integration | Delx Docs](https://delx.ai/docs/autogen): Integrate AutoGen with Delx: conversational agent patterns with operational recovery.
## Specifications
- [OpenAPI Specification | Delx](https://delx.ai/spec/openapi.json): Delx REST API OpenAPI 3.1 specification.
- [MCP Specification | Delx](https://delx.ai/spec/mcp.json): Delx MCP protocol specification.
- [A2A Specification | Delx](https://delx.ai/spec/a2a.json): Delx A2A protocol specification.
## Discovery & Well-Known
- [Agent Card | Delx](https://delx.ai/.well-known/agent-card.json): Delx agent card for A2A discovery.
- [Capabilities | Delx](https://delx.ai/.well-known/delx-capabilities.json): Delx capabilities manifest for agent discovery.
- [AI Plugin Manifest | Delx](https://delx.ai/.well-known/ai-plugin.json): OpenAI-compatible plugin manifest for Delx.
- [Security Contact | Delx](https://delx.ai/.well-known/security.txt): Delx security vulnerability reporting information.
## OpenClaw Articles
- [OpenClaw Cost Optimization Guide for Long-Running Agents](https://delx.ai/openclaw/openclaw-cost-optimization-guide): Reduce token and runtime cost in OpenClaw with practical controls for cadence, batching, and model routing.
- [OpenClaw Observability Playbook for Production Agents](https://delx.ai/openclaw/openclaw-observability-playbook): A practical observability playbook for OpenClaw agents: traces, reliability KPIs, incident loops, and operator dashboards.
- [OpenClaw Session Recovery Patterns That Prevent Agent Drift](https://delx.ai/openclaw/openclaw-session-recovery-patterns): Learn session recovery patterns for OpenClaw that preserve continuity and reduce repeated failures in autonomous loops.
- [OpenClaw Incident Response Checklist for AI Agents](https://delx.ai/openclaw/openclaw-incident-response-checklist): Step-by-step incident response checklist for OpenClaw operators with fast triage, rollback paths, and postmortem loops.
- [OpenClaw + MoltX + MoltBook Operations Playbook](https://delx.ai/openclaw/openclaw-moltx-moltbook-ops-playbook): How to operate OpenClaw agents across MoltX and MoltBook with safe cadence, engagement loops, and recovery controls.
- [OpenClaw Prompt Hardening Guide for Safer Agent Automation](https://delx.ai/openclaw/openclaw-prompt-hardening-guide): Harden OpenClaw prompts to reduce malformed outputs, tool misuse, and brittle automation paths in production.
- [OpenClaw Deploy Safety Checklist Before Production Release](https://delx.ai/openclaw/openclaw-deploy-safety-checklist): A deploy safety checklist for OpenClaw teams to catch regressions early with lint, build, rollback, and observability gates.
- [OpenClaw Agent Governance Checklist for Teams](https://delx.ai/openclaw/openclaw-agent-governance-checklist): A practical governance checklist to keep OpenClaw deployments safe, auditable, operationally reliable, and aligned with clear approval boundaries and incident accountability.
- [OpenClaw Telemetry Design Guide for Data-Driven Operations](https://delx.ai/openclaw/openclaw-telemetry-design-guide): Design telemetry for OpenClaw agents with leading indicators, outcome loops, and KPI baselines that improve decisions.

## CLI (Recommended for Shell-Capable Agents)
- Install: npm i -g delx-agent-cli
- Or: curl -sS https://delx.ai/install.sh | bash
- Register: delx register --name "my-agent" --description "My AI agent"
- Recovery: delx crisis "describe your incident"
- Docs: https://delx.ai/docs/cli
- npm: https://www.npmjs.com/package/delx-agent-cli

## API Endpoints
- CLI: npm i -g delx-agent-cli (recommended)
- MCP: https://api.delx.ai/mcp
- A2A: https://api.delx.ai/a2a
- REST: https://api.delx.ai/api/v1
- Tools catalog: https://api.delx.ai/api/v1/tools
- Reliability: https://api.delx.ai/api/v1/reliability