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✅ Acceptance is open-source e2e testing for Agents. Your coding agent turns a prompt into observable checks, runs the real product, and publ

Governed execution layer for AI coding assistants: clarify intent, route capabilities, review evidence, verify results, and write back lesso

Open memory & reliability layer for AI agents + independent judging/verification (NACRE judge, caliber-bench meta-benchmark, preregistered c

Agents can work. They cannot declare success. A governed coordination protocol for multi-agent AI work: eight contracts (task, resource, own

Reverify, AI agent’larının reverse engineering ve kod doğrulama iddialarını deterministik araçlarla sınayan, CLI ve MCP server sunan bir Python aracıdır.

Neden yükseliyor · Repo yalnızca 28 günlük olmasına rağmen 1.245 yıldıza ve son 28 günde 83 commit’e ulaşmış; AI agent’ları için doğrulanabilir çıktı ihtiyacıyla MCP entegrasyonu dikkat çekmiş olabilir. Dört farklı yazarın katkısı aktiviteyi destekliyor, ancak yıldızlar tek başına benimseme veya kalite kanıtı değil.

Give AI agents eyes, ears, and verifiable results. Watch Skill turns video, audio and screen activity into searchable, timestamped evidence

From ticket to reviewed pull request. Free and open-source, on your machine.

Agent workflow for deadline-bound execution with evidence gates

Stop hooks that stop AI coding agents (Claude Code, Codex) from claiming "done" without proof. A Lean quality system: every defect becomes a

an implementation of the ideas in Erik Meijer's "Guardians of the Agents: Formal Verification of AI Workflows" (Communications of the ACM, J

Turns AI agents from chaotic code generators into disciplined engineers. 12-stage workflow from research to production.

22 production-grade skills for AI coding agents — setup, scope, discipline, code review, security, session management, governance, ops, and

verification toolchain for TypeScript (Tech Preview)

Subagent Verification for Claude AI Code Networks 2026

Automated Proof-of-Carrying Change Management for AIOps 2026

OpenCode++: a Coding Agent Reliability Harness for OpenCode, adding context, edit boundaries, command evidence, verification gates, impact a

Builds up to a goal in a field you have no expertise in: splits it into the foundations that goal actually needs, mobilizes what you already

An SDK for verifiable intent, inline with code: one-line claims above your functions, verified at the rigor you choose and flagged when they

Give any AI agent a disposable email inbox in one tool call. MCP server for email verification, auth flows, and testing.

From any API surface to verified AI agent tools: Go CLI + MCP + skills + SQLite + policy + proofs.

Verifiable AI coding agent harness / 可验证的 AI 编码代理：evidence hash-chain · hollow-answer gate · manual verification checklist · 6 engines + MCP

Covert Coder — a local-first sovereign AI development environment for governed models, workflows, execution, evidence, and verification.

Codex harness for consistent AI-assisted development workflows, including agent instructions, standard setup/check/test/eval scripts, CI,

Audits AUR PKGBUILD updates before you install: detects structural changes, suspicious commands, typosquatting, and novelty signals, then pr

Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate,

The orchestration layer under your coding agent. Turns work into a typed graph, runs one model per node, and takes the verdict from outside

Fable-style verification gate for Claude Code: don't say done until it's verified. Port of the Codex plugin by Agent Korea (플라잉따릉이).

Click does not replace Nx, Bazel, pytest, or Jest. It sits above existing verification tools and manages which verification evidence remains

Detect hallucinations in LLM responses. Verify every claim against source documents using hybrid STS + NLI. Works with LangChain, LlamaIndex

Overnight experiment: can an AI agent make money, and can you trust what it reports? The agent produces claims; a separate verifier it canno

AI-Native Formal Specification Language — a bounded model checker (Lark + Z3) built for LLM write/verify/repair loops.

Verify that an AI agent's on-chain claims are actually true. A claim-level groundedness checker for Solana / memecoin agents.

Evidence-gated Claude and Codex council orchestration.

Fable-inspired verification-first workflow skill for Codex

A living standard for a web stack that AI agents can verify, not just generate

Catalogue of languages designed for Agents

An operating harness for repositories maintained by AI coding agents. Memory hierarchy, verification ladder and reusable workflows.

"Done" means nothing — a menhera-style completion gate for Claude Code that blocks empty completion claims until tests actually ran green an

Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.

Check that source map mappings actually point where they claim — token-level verification, not just valid JSON.

AI agents should not make irreversible changes. TraceFold escrows the inverse before an effect lands, or refuses it, and issues receipts any

Redpen makes coding agents prove they are actually done.

Chinese template for designing Multica multi-agent + skill workflows around task type, budget, models, and verification gates.

Beginner-friendly Sol-led orchestration for Codex with pinned Luna and Terra workers and verified review.

Gatemole compiles human-owned intent into obligations, links evidence artifacts to those obligations, and produces deterministic release dec

Evidence-backed proof of done for Claude Code, Codex, Cursor, and other AI coding agents. Run real checks, bind results to current Git state

Based on lectures on the LLM-Verifier Interface at the Summer School on Foundations of Programming and Software Systems (FoPSS 2026)

Proof-of-done for AI coding agents. Local evidence receipts for Codex, Claude Code, Cursor, and GitHub Actions.

For an organization to trust AI with its code, three things must hold — trust, traceability, and stability at scale. cladding wraps your AI

A small, vetted, self-evolving harness for Claude Code — curated, not dumped. Skills, safety guards, and a self-improvement loop.