Local-First Agent Gateway (OpenClaw)
A local-first agent gateway — data stays in domain, compliance under control, deployable across PC / server / edge with persistent semantic memory.
Key Capabilities
Four key capabilities required to put this technology into production.
End-to-End Local Processing
Input to execution all stays local — zero PII egress.
Persistent Semantic Memory
Cross-session long-term memory with topic segmentation — context-window overflow goes away.
Multi-Channel Ingress
WeCom / DingTalk / Feishu / email / web unified — employees switch channels seamlessly.
Light Footprint Across Three Form-Factors
Runs on 4GB-RAM PCs and reliably on factory-edge devices.
Representative Scenarios
Local digital employees · factory-edge agents · in-network assistants for gov/SOEs · cross-department long-running orchestration.
Download Solution Playbook
Generate a printable white paper for this module
Opens a playbook page with key capabilities, scenarios, outcomes, specs and case digest — use the browser's Save as PDF to distribute.
Case Studies
Filter anonymous scenario illustrations by industry, scenario and scale. Metrics and inferred customer, duration, stack and deployment metadata are unverified, not established customer outcomes.
Manufacturing
2 casesIllustration · metrics unverified
Law-firm local digital employee
All case docs processed locally — data stays in domain, compliance-controlled.
- Customer
- Top-tier Process / discrete manufacturers
- Duration
- 10–16 weeks
- Tech stack
- Speech / ASR-TTS
- Deployment
- Hybrid cloud
Illustration · metrics unverified
Industrial-edge smart inspection
Shop-floor edge box runs the agent — works offline.
- Customer
- Top-tier Process / discrete manufacturers
- Duration
- 6–8 weeks
- Tech stack
- Multi-agent · Federated learning
- Deployment
- Edge / on-prem
Finance
1 caseIllustration · metrics unverified
Defense-research offline knowledge assistant
Classified documents processed entirely on intranet; retrieval and authoring assistance.
- Customer
- Top-tier Banks / brokers / insurers
- Duration
- 6–8 weeks
- Tech stack
- Knowledge / RAG · Federated learning · Vector search
- Deployment
- Edge / on-prem
Healthcare
1 caseIllustration · metrics unverified
Hospital air-gapped ward assistant
Drug verification, condition logging and order playback executed locally in the ward.
- Customer
- Top-tier Tier-3 hospitals & healthcare groups
- Duration
- 10–16 weeks
- Tech stack
- Speech / ASR-TTS
- Deployment
- Private deployment
Specs & Fit
Deployment | PC / server / edge box |
Min hardware | 16GB RAM, optional GPU acceleration |
Data residency | 100% local, offline-capable |
Channels | IM / email / API / in-house systems |
FAQ
Minimum deployment spec?
A single consumer-grade PC (16GB RAM) runs the core; servers and edge boxes scale out as needed.
How is context overflow handled?
Persistent semantic memory + task-level chunking — long flows no longer break on token limits.
Which entrypoints are supported?
WeCom / DingTalk / Feishu / email / in-house systems.
Quantified Outcomes
We only ship technology that delivers ROI — here are the measurable metrics after enterprise rollout.
Zero data egress, ≥99% stability on long-running tasks, deployment time from months to hours.
Defined scope. Accountable delivery.
Staged pricing & acceptance
Discovery, pilot and rollout have separate scope and fees. Contracts define baselines, evaluation samples, acceptance metrics and responsibility. Results are not unconditionally guaranteed.
Customer business data stays off-chain
Business records and personal data are not written to a blockchain. Confirm deployment region, model providers, access, retention and deletion in writing before work begins.
Clear contracting & delivery responsibility
Before signing, obtain and verify the legal entity, registration, jurisdiction, delivery owner and dispute terms. DAO collaboration does not replace contractual responsibility.