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OpenLIT vs Foo Guard

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

OpenLIT compared with Foo Guard
DetailOpenLIT logo OpenLITFoo Guard logo Foo Guard
What it doesOpen-source agent harness engineering platform built on OpenTelemetry Security scanner for AI agent configurations and MCP tool definitions
StageStartup Not given
Founded2024 Not given
Based inIN Not given
Pricing modelOpen source Freemium
PricingOpen source (Apache 2.0): Free self-hosted with unlimited usage. Enterprise Edition: Contact sales for pricing. Cloud: Coming soon. Free: $0, no account needed. Pro: $19/mo or $190/yr. Team: $57/mo (3-user minimum) or $570/yr, then $19/mo per additional user.
Key features
  • OpenTelemetry-native LLM tracing for every call, tool, and retrieval
  • Agent evals with LLM-as-a-judge and heuristics
  • Prompt Hub for versioning and deployment without code changes
  • Guardrails for prompt injection, jailbreak, and sensitive topic detection
  • Vault for encrypted API key management
  • OpenGround for side-by-side LLM model comparison
  • GPU monitoring for utilization, memory, temperature, and power
  • Coding agent observability for Claude Code, Codex, and Cursor
  • Cost tracking and latency monitoring
  • 56+ integrations with LLMs, frameworks, and vector databases
  • Browser-based scanning for agent configurations
  • CLI for local scans and CI enforcement
  • 30+ security checks and secret detection
  • OWASP and SOC 2 rule packs
  • Gateway runtime enforcement for MCP requests
  • GitHub App integration with pull request checks
  • Optional AI-powered remediation guidance
  • Policy-as-code via .fooguard.yml
What makes it different
  • Self-host free forever under Apache 2.0 with unlimited usage and no per-trace fees
  • OpenTelemetry-native traces exportable to Grafana, Datadog, or any OTLP backend
  • Zero-code instrumentation with eBPF controller, native SDKs, or GPU collector
  • Unified platform for traces, evals, guardrails, and prompts on the same production data
  • Full data ownership and no vendor lock-in with exportable OpenTelemetry traces
  • Deterministic security rules rather than AI-based scoring
  • Pre-deployment configuration analysis without agent execution
  • Runtime enforcement via Gateway for supported MCP tool calls
  • Audit logging and SIEM streaming for compliance
  • Works across browser, CLI, GitHub, and API
Community votes00
DR (Domain Rating by Ahrefs)63 −2 (down) since last check8 +1 (up) since last check
Trust Flow (Majestic)233
Citation Flow (Majestic)3921
Referring domains (Majestic)48318

5 details filled in for both companies.

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