Compare with agent platforms, not chatbots
OpenClaw, Dify, Coze, big-tech agent platforms — listed side by side, item by item
18 core capabilities, one table
Lyncore's evolution engine auto-generates · OpenClaw/Dify need hand-writing
Six-step loop: Observe → Propose → Shadow → Verify → Review → Activate. Fully auditable; nothing runs without your authorization.
Shadow mode observe
Doing the same thing in chat for days — "check email + calendar every morning then push a summary" — the evolution engine records it. No interruption, no auto-run, just watching.
Auto-draft skill proposal
After spotting your pattern, it auto-generates a skill draft: name, tools used, inputs/outputs. Presented as a DAG blueprint.
Sandbox verify + constitution
Proposals aren't activated directly. First a trial run in an isolated sandbox, then a constitution-engine check: private-safe? no overreach? any security issue? Failed ones go back for revision.
Activate only after your review
Shadow mode demos the effect for you — what it'll look like. You're OK, approve, skill permanently activated; not OK, reject, AI re-learns. Every step needs your nod.
Browser + desktop + AI = Lyncore
OpenClaw controls browsers but not desktop. Dify has workflows but no browser rendering. RPA clicks desktop but lacks AI understanding. Lyncore has all three.
Browser automation
- Chromium CDP drives a real browser
- Open pages / screenshot / fill forms / export PDF
- Open multiple sites concurrently to scrape & merge
- Keeps login state, no repeated auth
- Not "HTTP request simulation", real rendering
Desktop control CUA
- AI screenshot → understands UI → clicks right spot
- Window switch, type, scroll, drag
- Any app: Excel, browser, ERP — all controllable
- Auto-handles anomalies (popups, slow loads, changes)
- Not "coordinate replay", it's AI understanding
DAG workflows: tie them together
"Search 10 competitors' pricing → open pages → screenshot → summarize to Excel → email the boss" — not coding, just drag a few nodes and connect them. Dependency-free steps run in parallel, failed ones auto-retry, and the blueprint is saved for one-click reuse next time.
Lyncore's KB lives on your disk · OpenClaw/Dify fall short
Drop in any format
PDF, Markdown, TXT, CSV, DOCX — drag in and it's processed automatically. No format pickiness.
Vector + BM25 hybrid
Semantic understanding + full-text match, two engines together. Quotes sources.
Agent binds knowledge
Support agent binds the manual, legal agent binds contract templates. Least-privilege, each sees its own.
Lyncore is hexagonal · OpenClaw is monolithic
23 domain modules of pure business logic, zero framework deps · 41 infrastructure sub-packages all interface-injected · swap DB without touching business code
Domain layer (pure business logic)
agent / tool / memory / evolution / knowledge workflow / chat / goal / kanban / content_cards persona / user / auth / tenant / billing / quota activation / gdpr / security / supervisor / asset notification
Infrastructure layer (pluggable adapters)
a2a / mcp / llm / memory / vectordb / sandbox / vault nats / temporal / sse / ws / sidecar / satellite_proxy skillhub / modelscope / cron / billing / quota / cache crypto / safety / audit / metrics / observability logging / config / middleware / connector / persistence sealed / channel / plugin / search / fastpath / secret
Domain is independently testable
Pure Go interfaces, no DB dependency, no HTTP framework. Unit tests finish in seconds.
Infrastructure is swappable
Swap the vector DB, only change the vectordb adapter. Swap the message queue, only change the nats adapter. Business code untouched.
Lite & Enterprise share source
Share all domain packages; Lite uses wasm+local storage, Enterprise uses gVisor+Temporal+PostgreSQL.
Persona · tools · KB · multi-agent
Code assistant has Python rights but no email rights. Support agent carries the manual. Legal agent mounts contract templates.
Custom persona
Name, personality, speaking style, domain — you define it. Each agent has a persona file.
Tool whitelist
Code assistant can use the Python sandbox but not email. Least privilege, each manages its own.
A2A collaboration
Agents talk and delegate automatically: analyze report → analyze → copy → email, fully automatic.
Not 'trust AI won't misbehave' · but 'make it unable to'
Python sandbox
subprocess / socket / os all blocked, open() path whitelist. Code runs isolated.
Shell blacklist
13 string rules + 10 regex + CWD lock. Dangerous commands blocked outright.
Hallucination check
Tool output validation: does the referenced file exist? Is the path reasonable? Correct format?
File whitelist
Agents only access directories you specify. Can't roam system folders.
gVisor isolation
Google's open-source application kernel, container-level sandbox. Fully isolated processes. Enterprise only.
Audit logs
Who called what tool when, inputs/outputs — full-chain recorded. Enterprise only.
OpenClaw needs code, Dify is in cloud, big-tech locks your ecosystem < Lyncore installs with a double-click, data all yours
¥12/month · No credit card · Data on your disk
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