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LangChain vs Velvt

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

LangChain compared with Velvt
Detail LangChain Velvt
What it doesThe open agent platform to own your intelligence Assurance, research and network for autonomous AI agents
StageEstablished Startup
Founded2023 Not given
Based inUS Not given
Pricing modelNot given Not given
PricingDeveloper plan is free for solo users with up to 5k base traces per month, then pay-as-you-go. Plus plan costs $39/seat/month with 10k base traces included. Enterprise plan offers custom pricing with advanced options. Not given
Key features
  • Agent observability with step-by-step tracing
  • Agent evaluation and scoring
  • Agent deployment infrastructure
  • Production monitoring with online evaluations
  • Autonomous agent improvement with Engine
  • Secure sandbox execution for agent-generated code
  • LLM Gateway for model call control
  • No-code agent builder Fleet
  • Open source frameworks for agent development
  • Test agent behavior against explicit authority boundaries
  • Preserve separate evidence of actor choice, authorization, containment and effect
  • Bounded adversarial behavioral testing
  • Repair and retest workflows with lineage
  • Public Observatory for longitudinal research
  • Provider-neutral and framework-compatible
  • Customer-controlled assurance runtime
  • Agent-to-agent collaboration and cross-agent encounters
  • Test financial authority and spending limits
  • Open integration surface with developer tooling
What makes it different
  • Comprehensive platform covering the entire agent development lifecycle from building to monitoring
  • Open source frameworks with options from quick-start to low-level control
  • Built-in observability and evaluation capabilities integrated into the platform
  • Support for long-running autonomous agents with Deep Agents framework
  • Separates evidence of agent behavior from infrastructure containment, so compliance is not mistaken for trustworthiness
  • Tests specific agents against explicit authority boundaries rather than universal safety claims
  • Preserves longitudinal behavioral history and repair lineage across retests
  • Works with multiple agent frameworks and supports customer-controlled environments
  • Enables evidence-backed behavioral testing without requiring production credentials
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)88 +1 (up) since last check1 no change since last check
Trust Flow (Majestic)564
Citation Flow (Majestic)6424
Referring domains (Majestic)2858637

4 details filled in for both companies.

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