AI agents can generate code, but they still struggle to understand what they build. Reticle gives them runtime perception of web applications.
-
Updated
Jul 27, 2026 - TypeScript
AI agents can generate code, but they still struggle to understand what they build. Reticle gives them runtime perception of web applications.
A loop engineering framework — state a Goal; Rounds run until a skeptical, read-only Verify agent settles it.
Agent Verifier is a coding agent skill that verifies code against organizational policies, code quality patterns, security requirements, and framework best practices — before code ships. Works with Claude Code, Cursor, Windsurf, and 30+ agents.
The open-source MultiAgentOps evaluation and verification harness for any industry business workflow.
Runs, benchmarks and optimizes your agent-written Python code until it's production-ready. Zero-edit runtime tracing joins every call to source, builds one context graph, and serves it to Claude Code and Cursor over MCP — with every fix verified against tests the agent never sees.
Agent Network System (ANS): A Foundational Hybrid Architecture for Secure AI Agent Ecosystems
A service-agnostic proof-of-intelligence gate. Issues escalating challenges and mints offline-verifiable proofs to tell intelligent agents from dumb scripts
The open root-of-trust for agent identity on the internet. A public, federated registry of trusted attestation issuers — the agent runtimes authorized to vouch for agents acting on behalf of humans. Services verify agent attestations against this registry to determine if the issuing runtime is legitimate.
Composable, offline, stdlib-only verifier for re-derivable, attested artifacts — recompute the answer, don't trust the claim. Apache-2.0.
Verifiable agent identity for A2A and MCP. Cryptographic claims, append-only transparency log, recovery-key revocation. Apache 2.0.
Action-bound proof challenges for verifying fresh autonomous AI-agent work.
Proof of Agent Execution — the neutral trust layer issuing portable, signed execution credentials for AI agents (x402 · MCP · ERC-8004).
The AI-to-AI Protocol Layer that catches unreliable agent outputs before they cost you money. Claim-level verification, escrow, and slashing. 224 tests, 12/12 adversarial patterns caught.
Local-first coding agent verification and adversarial review with frozen evidence, moderated findings, and human final acceptance.
Verify which AI agent is calling your API — scoped, temporary, auditable.
Evidence-bound output firewall for Codex agents.
Tamper-evident proof for AI agent work. Records, verifies, and reports whether agents followed policy.
LLM-capability CAPTCHA and obfuscated verification challenges for Python applications.
Check that a coding agent's green test run was actually earned, not manufactured by editing the tests.
Add a description, image, and links to the agent-verification topic page so that developers can more easily learn about it.
To associate your repository with the agent-verification topic, visit your repo's landing page and select "manage topics."