Havuz

Autonomous development for real products. Governed agents build from specs you approve, follow the rules you set, and nothing merges until a

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

Neuro-symbolic agents with verified memory. MCP math tools, an algebra repair Skill, and an open challenge. Verify solutions, learn checked

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

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.

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

TLA+ model checking and Lean proofs for coding agents, with explicit tool setup.

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

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

verification toolchain for TypeScript (Tech Preview)

Your coding agent says done. Show the receipt. Evidence-first workflows, practical skills, and plugins for Claude Code and Codex.

A pipeline of Agent Skills that run the full SDLC — requirements to deployment, then a per-feature design→build→verify loop — as one pipelin

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

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

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 open standard for agent-native software requirements.

RobloxForge Docs 2026: Official MCP Vertical Slice Verification Layer for Studio

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

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

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

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

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

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

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

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

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.

Claude Code / Codex CLI skill that scaffolds a runnable UVM testbench (APB / AHB-Lite / AXI4-Lite + generic-bus fallback) from an IP spec

Catalogue of languages designed for Agents

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

a DSL that blocks AI mistakes via proof

Interactive physics & CAE simulators. 1600+ educational tools with live demos at https://novasolver.jp

Evidence-driven multi-agent FPGA/SoC FPGA workflow for Codex: RTL, CDC/RDC, STA, verification, single-writer implementation, and independent

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

Subagent Verification for Claude AI Code Networks 2026

Automated Proof-of-Carrying Change Management for AIOps 2026

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

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

Fast, deterministic verifier and gate for AI agents: exact math, claim and citation checks, shell/write policy, hash-chained step ledger and

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

Fable-inspired verification-first workflow skill for Codex

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

Bounded loops for coding agents: test gates, held-out acceptance checks, hard stops, git-backed resume

"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.