jurniti vs LangChain Managed Deep Agents°
LangChain Managed Deep Agents is a framework company's hosted runtime for its own harness. The builder who already picked Deep Agents lets LangChain run the loop and hold the provider keys. jurniti is the host for the harness you already chose, with the key in your VM.
| jurniti | LangChain Managed Deep Agents | |
|---|---|---|
| Isolation | Per-tenant Firecracker microVM (KVM hardware boundary); 1 vCPU = 1 physical core. | LangChain documents its Sandbox only as an isolated filesystem and shell. No substrate, provider, or multi-tenancy claim is published. jurniti names Firecracker, jailer, and per-VM netns. |
| Pricing | Flat $25–$99/mo, no metered surprises. | LangSmith Developer $0 / Plus $39 per seat / Enterprise custom. Managed Deep Agents itself has no published price line. |
| Model keys | BYOK inside your VM — model traffic never traverses jurniti. | MDA forwards .env provider keys into LangSmith's hosted secret store. jurniti writes model keys through to the guest and persists a key name plus SHA-256, never the value. |
Where jurniti is different
- Harness neutrality: MDA is Deep-Agents-only. jurniti registers 35 harnesses from one manifest, including dcode, LangChain's own terminal agent.
- A named isolation boundary: Firecracker plus jailer plus per-VM netns, with cross-tenant isolation proven by e2e test. LangChain names no substrate.
- Model keys written through to the guest. MDA holds provider keys in LangSmith's hosted secret store.
- Always-on at a flat $25–$99/mo with a 30-day money-back guarantee. MDA is a metered deployment with no published rate.
Where LangChain Managed Deep Agents is strong
- Distribution: an established LangSmith install base and a conference stage (Interrupt 2026).
- mda channel add auto-provisions a Slack app at deploy: manifest, authorization link, Events URL. No bot-token copying.
- Conversation-level durability: checkpointing, pause/resume, and restart-survival for a task.
- Evals as a first-class project directory (evals/, Harbor tasks) plus LangSmith Engine filing fix PRs from prod traces.
When to pick one — or both
Pick them when you already build with Deep Agents, already trace in LangSmith, and want one vendor to run the loop. Pick jurniti when you picked a different harness, or you need a named isolation boundary and the model key in your own VM.
Pick jurniti when your agent holds production credentials, runs code an LLM returned, and you want a real per-tenant hardware boundary with your keys inside your VM — at a flat monthly price.
Run DeepAgents Code on a real Firecracker microVM. Provision in ~3 minutes after payment. If it is not worth it within 30 days, email us and we refund you.
jurniti vs LangChain Managed Deep Agents — questions
Different category. LangChain hosts its own Deep Agents harness. jurniti hosts the harness you picked. The overlap is the phrase managed agent, not the buyer.
jurniti hosts DeepAgents Code (dcode), LangChain's terminal CLI, as one of 35 registered harnesses. That is not the Managed Deep Agents runtime.
See managed DeepAgents Code on jurniti →
Read the guide →Related comparisons →
Competitor facts are sourced and re-verified (last checked 2026-08-25). LangChain Managed Deep Agents is a trademark of its owner, named here only for comparison.