The Memory Layer for Every Agent Tool Category & Interface
Whether your agent operates inside ChatGPT, Claude Desktop, Cursor IDE, Claude Code CLI, Sierra AI chat, n8n workflows, or embedded on Edge hardware—ClawDB provides instant persistent memory, setup guides, and visual control tools.
Integrated Across Chat, Terminal, IDE, Background Worker & Edge Tools
Explore setup guides and integration code for every major AI agent tool and interface category.
Chat & Web UI Interfaces
Sub-millisecond multi-turn memory retrieval embedded directly into consumer web chat widgets, ChatGPT actions, Claude Desktop, and mobile messaging interfaces.
Terminal & CLI Runtimes
Direct STDIN/STDOUT memory stream adapters and CLI flags for autonomous terminal coding agents, shell automation, and SOC incident triage.
IDE & Editor Extensions
Language Server Protocol (LSP) and hosted MCP servers populating editor sidebars, AST code completions, and document redlining markups in real time.
API & Background Worker Daemons
Headless background worker daemons executing high-throughput batch vector enrichment, SEC 10-K filing reviews, and asynchronous outreach email campaigns.
Edge & Hardware Microcontrollers
Zero-dependency embedded C++/Rust/Wasm local engine executing 0.2ms local memory searches over CAN Bus, MQTT, and SMART on FHIR with 100% offline privacy.
18 Real-Life AI Agent Guides, Tool Setup & Control Suite
Filter by Domain or Tool Interface Category Group to view copy-pasteable product setup configs, end-to-end SDK code, and visual dashboard feature controls.
Customer Support Agents
Enterprise support agents deploy multi-turn interactions for consumer brands, resolving complex logistics queries rather than repeating rigid decision trees.
Log in to Sierra AI Admin Console -> Settings -> External Memory Providers.
Click "Add Custom Data Provider" and select Model Context Protocol (MCP).
Enter your Hosted ClawDB MCP Endpoint: https://mcp.clawdb.dev/v1/customer-support.
Paste your ClawDB Secret Key (CLAWDB_API_KEY) and map Session ID to namespace: customer_{id}.
How to Connect ClawDB Memory to Sierra AI & Zendesk
Copy and paste this config file into your target tool (Sierra AI & Zendesk)
{
"memoryProvider": "clawdb-mcp",
"mcpEndpoint": "https://mcp.clawdb.dev/v1/customer-support",
"apiKey": "claw_sec_live_948201...",
"namespaceTemplate": "customer_{user_id}",
"autoDistillEpisodes": true
}Exact Installation & Enablement Steps:
- Log in to Sierra AI Admin Console -> Settings -> External Memory Providers.
- Click "Add Custom Data Provider" and select Model Context Protocol (MCP).
- Enter your Hosted ClawDB MCP Endpoint: https://mcp.clawdb.dev/v1/customer-support.
- Paste your ClawDB Secret Key (CLAWDB_API_KEY) and map Session ID to namespace: customer_{id}.
Tailored Memory Architectures by Industry Domain
Corporate & Enterprise Functions
Transform enterprise workflows with persistent customer state, historical outreach tracking, multi-stage interview context, and real-time edge telemetry memory.
Software Development & IT
Empower coding and infrastructure agents with Git-like memory branching, automated runbook state, and sub-millisecond security log context.
Data, Finance & Legal
Streamline financial risk modeling, legal citation research, and web-scale lead verification with deterministic vector + graph memory.
Creative & Content Production
Ensure content consistency across multi-channel campaigns, prompt execution trees, and audio voice synthesis with persistent creative memory.
Industry-Specific (Vertical AI)
Tailored cognitive memory for ambient doctor-patient EHR charting, post-purchase e-commerce troubleshooting, and adaptive student tutoring.
Personal Productivity & Lifestyle
Power autonomous web assistants and local ambient smart home agents with zero-trust, encrypted, ultra-fast persistent state.
Frequently asked questions about agent tools & interfaces
For ChatGPT Custom GPTs, import our OpenAPI 3.0 schema (https://mcp.clawdb.dev/v1/openapi.json) into GPT Actions. For Claude Desktop, add `@clawdb/mcp-adapter` to your `claude_desktop_config.json` file.
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