"Multiplayer AI" — shared, governed company-wide agents across your stack.
Tool-NutzungMemoryRAGMulti-Agent
Demo · hover to playLangdock vs Sourcegraph Codywhich AI ops agent should you pick in 2026?
GDPR-native multi-model AI workspace with built-in agent builder — Europe's Glean alternative.
Tool useMemoryRAGMulti-agent
Code intelligence agent for enterprise — answers questions about your code, navigates large monorepos.
CodeTool useRAGMemory
Langdock vs Sourcegraph Cody — specs
| Spec | Langdock | Sourcegraph Cody |
|---|---|---|
| Agent Rank | 77 / 100 (A) | 77 / 100 (A) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $30 | Freemium · from $9 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG, Multi-agent | Code, Tool use, RAG, Memory |
| Integrations | 5 apps | 4 apps |
| Verified | — | Verified |
| Released | Feb 2025 | Feb 2025 |
Agent Rank breakdown
Langdock
Agent Rank
77/ 100
- Autonomie
- 8
- Fähigkeiten
- 8
- Integrationen
- 10
- Preise
- 7
- Reife
- 7
- Verifizierbarkeit
- 6
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Sourcegraph Cody
Agent Rank
77/ 100
- Autonomie
- 8
- Fähigkeiten
- 8
- Integrationen
- 4
- Preise
- 8
- Reife
- 8
- Verifizierbarkeit
- 10
Automatisch berechnet aus Autonomie, Fähigkeiten, Integrationen, Preisen, Reife und redaktioneller Verifizierung. Bei jedem Deploy aktualisiert. Wie wird das berechnet?
Pros & cons
Langdock
Pros
- +GDPR-native — built EU-first with German data residency and strict compliance defaults
- +Multi-model BYO (Anthropic, OpenAI, Google) without lock-in
- +Strong agent builder + connector library — Glean-class but priced for European mid-market
Cons
- −Smaller US presence and US partner ecosystem
- −Newer than Glean — fewer published US Fortune 500 case studies
- −Per-seat pricing adds up at scale (>50 users)
Sourcegraph Cody
Pros
- +Best-in-class code intelligence for large monorepos and polyglot codebases
- +Self-hosted option for compliance-sensitive industries
- +Cheaper than Cursor at the Pro tier
Cons
- −Editor experience less polished than Cursor
- −Agent autonomy still trails Cursor and Claude Code
- −Best fit for established orgs with existing Sourcegraph deployments
Pricing
Langdock
Free
Kostenlos
Individuals
- +1 workspace
- +GPT-4o + Claude
- +Limited connectors
Empfohlen
Pro
$30/Sitz/Mo.
Teams
- +Multi-model BYO
- +All connectors
- +Agent builder
Enterprise
Individuell
Large EU orgs
- +SSO + audit
- +Custom retention
- +Dedicated EU tenant
Sourcegraph Cody
Free
Kostenlos
Personal use
- +Limited chat + completions
- +Public repos only
Empfohlen
Pro
$9/Mo.
Solo devs
- +Unlimited usage
- +Larger context
- +Private repos
Enterprise
$19/Sitz/Mo.
Engineering teams
- +Code search across monorepos
- +Self-hosted option
- +SSO + audit
Which one should you pick?
Langdock
Pick Langdock if its specific capabilities (Tool use, Memory) match what you need.
Try Langdock →Sourcegraph Cody
Pick Sourcegraph Cody if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
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Frequently asked
Should I pick Langdock or Sourcegraph Cody in 2026?+
Pick Langdock if its specific capabilities (Tool use, Memory) match what you need. Pick Sourcegraph Cody if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Most working teams running both can use Langdock for primary work and Sourcegraph Cody for the workflows where its specific strengths matter.
What's the price difference between Langdock and Sourcegraph Cody?+
Langdock starts at Subscription · from $30; Sourcegraph Cody starts at Freemium · from $9. Sourcegraph Cody is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Langdock or Sourcegraph Cody?+
Both Langdock and Sourcegraph Cody are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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