Lindy is a beautiful platform for creating specialized vertical agents: one for sales, another for support, another for recruiting. MeigaHub takes a different approach: a single agent (Meiga) that adopts any role on demand with shared memory, integrated tools and self-host option.
Lindy is for you if…
MeigaHub is for you if…
An honest look at what each tool does best.
| Feature |
MeigaHub
|
Lindy |
|---|---|---|
| Architecture | ||
| Single multi-role agent |
Yes
Meiga adopts any role |
No
One agent per vertical |
| Shared memory between roles |
Yes
agent_memory + standing orders |
No
Per-agent siloed |
| Standing orders (persistent rules) | Yes | No |
| Skills the agent creates by itself |
Yes
Reflex 1: skill detection |
No
Manual templates |
| Editable reference guides |
Yes
Reflex 2: agent appends learnings |
No |
| Capability gap tracking |
Yes
Reflex 3: ticket_gap |
No |
| Unique capabilities | ||
| REGCON (verify if companies have equality plan) |
Yes
B2B niche, ES |
No |
| BOE / BDNS / TED ingestion |
Yes
Subsidies + tenders ES/EU |
No |
| Global lead pool with centralized dedup |
Yes
NIF/email/domain dedup |
No |
| Job Hunter (CV → tailored letters) | Yes | No |
| Search Cases (9 types) |
Yes
jobs/tenders/grants/etc |
No |
| Deployment & sovereignty | ||
| Self-host (Docker) |
Yes
Production Dockerfile |
No
Cloud only |
| Local LLM |
Yes
MeigaHub-server via Tailscale |
No
OpenAI/Claude only |
| EU hosting |
Yes
Frankfurt / Madrid |
No
US only |
| Sensitive-data mode |
Yes
Force local-only |
No |
Comparison prepared in March 2026 based on public documentation of both projects. Subject to change.
Lindy's approach forces you to create a separate agent for each role. The sales agent doesn't know what the support one is doing. There's no shared memory, no cross-role context. And everything runs in the US cloud.
If your sales agent learned that customer X dislikes phone calls, the support agent has no clue. MeigaHub has a single memory shared across roles: anything the agent learns serving you as a lawyer it can use serving you as a marketer.
Lindy doesn't offer self-hosting or local LLM. Every conversation passes through their cloud, with OpenAI/Anthropic at the bottom. MeigaHub can run 100% on-prem with local LLM and zero external dependencies.
Lindy is great for sales/support in English, but doesn't know what BOE, BDNS, REGCON or TED are. MeigaHub natively integrates those data sources critical for ES/EU B2B.
Meiga adopts the role you need at every turn (lawyer, marketer, CFO, recruiter) while keeping shared memory, persistent standing orders and three automatic reflexes (create skill, update guide, register capability gap).
Persistent agent memory + standing orders. The agent knows your business: it doesn't forget when you change topics.
When the agent detects a repeatable pattern → creates a skill. When a guide is unclear → appends learning. When capability is missing → registers gap for the team.
You can run MeigaHub on your servers with your own LLM, zero external dependencies. Lindy doesn't offer this option.
REGCON, BOE, BDNS, TED, ICEX, CCAA. Native data sources for ES/EU B2B that the US cloud doesn't have.
Both tools have their place. The choice depends on your use case.
Tired of creating one agent per role? Try a single agent that adopts any role with full memory.
Chat on Telegram and WhatsApp. Free local LLMs. Integrated social automation.
Start on the Free plan and upgrade only when you need more capacity.