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LangChain vs Vivgrid

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 Vivgrid
Detail LangChainVivgrid logo Vivgrid
What it doesThe open agent platform to own your intelligence The Managed Skills Platform for AI Agents
StageEstablished Not given
Founded2023 Not given
Based inUS US
Pricing modelNot given Freemium
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. Free plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments.
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
  • Managed Skills with instant deployment to all agents
  • Agent observability and debugging across all decisions
  • Globally distributed inference with low latency
  • Safety guardrails and agent evaluation
  • Multi-agent orchestration with stateful memory
  • Centralized security and access control
  • Support for multiple frontier LLM models
  • Real-time cost and performance insights
  • Agent Insights dashboard
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
  • Ship agent improvements in minutes instead of release cycles
  • Centralized skill management without requiring redeploy
  • Complete visibility into agent decisions for fast debugging
  • Proven safe releases with guardrails before production
  • No infrastructure expertise required to deploy agents at scale
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)87 no change since last check39 no change since last check
Trust Flow (Majestic)5625
Citation Flow (Majestic)6438
Referring domains (Majestic)285862622

5 details filled in for both companies.

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