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vighriday/Veris

by Various

Behavioral Verification Infrastructure — MCP-native intelligence layer for autonomous software correctness. 17 MCP tools, semantic workflow grouping, drift detection, counterfactua

V

MCP

vighriday/Veris

Added 1 June 2026

#ai-agents #behavioral-graph #claude-code #code-analysis #cursor #mcp #oss #ts-morph

Overview

Veris is an open-source behavioral verification infrastructure for autonomous software correctness. It provides 17 MCP-native tools including semantic workflow grouping, drift detection, counterfactual mode, and adversarial probes, all running locally-first with a confidence half-life mechanism.

Best for

Best for
Developers building autonomous systems who need local, open-source behavioral verification tools.

Use cases

  • Verify autonomous agent behavior against expected workflows
  • Detect behavioral drift in AI-driven software over time
  • Run adversarial probes to test system robustness

Notes

Veris is an open-source behavioral verification infrastructure for autonomous software correctness. It provides 17 MCP-native tools including semantic workflow grouping, drift detection, counterfactual mode, and adversarial probes, all running locally-first with a confidence half-life mechanism.

0 stars on GitHub. Last updated 2026-05-19. Licensed MIT.

Use cases

  • Verify autonomous agent behavior against expected workflows
  • Detect behavioral drift in AI-driven software over time
  • Run adversarial probes to test system robustness

Pros

  • Local-first and MIT licensed for full control and customization
  • Includes advanced verification features like counterfactual mode and drift detection
  • MCP-native design integrates directly with model context protocols

Cons

  • Zero stars and no community traction yet
  • Limited documentation or examples beyond the repository
  • Requires TypeScript expertise to set up and use

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Local-first and MIT licensed for full control and customization
  • Includes advanced verification features like counterfactual mode and drift detection
  • MCP-native design integrates directly with model context protocols

Cons

  • Zero stars and no community traction yet
  • Limited documentation or examples beyond the repository
  • Requires TypeScript expertise to set up and use
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