Consensus Hardening Protocol
decision-governance layer for multi-agent AI systems
Consensus Hardening Protocol launched on May 18, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
consensus-hardening-protocol - Consensus Hardening Protocol — decision-governance layer for multi-agent AI: foundation disclosure, adversarial attack, R0 gate, and EXPLORING → PROVISIONAL_LOCK → LOCKED progression with auditable cross-model payload envelopes.
- Removed the duplicate  plain image from the Demo section — it was identical to the video poster and conveyed nothing. - Added 5 screenshots extracted from chp-demo.mp4 at peak scene moments: architecture, chp-start terminal, chp-receive terminal, chp-validate with LOCKED reveal, and the hardened-vs-unhardened benchmark chart. - Each screenshot has a one-line caption explaining what it conveys. - Updated docs/media/README.md with the new screenshot inventory and ffmpeg regeneration commands. 2026-06-29 11:05:54 +00:00 .github /workflows Add CI workflow with compile checks 2026-06-12 21:17:25 -04:00 assets media: rebuild demo video + JPGs with robust ffmpeg pipeline…from codeberg.org
Does a similar job
all alternatives →
Trust Protocols for Anthropic/OpenAI/GeminiFeb 2026 · mnemom.ai · ▲40Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring: - Agent Alignment Protocol (AAP): What an agent can do / has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing / is allowed to do. The problem:…
Codacy, delegate your programming tasks.2012 · codacy.com · ▲27Thinking about code you have to do, but you are busy with something else? What if you could delegate your problems to someone ready to take it off your shoulders? That is what we are all about: doing small programming tasks for you, so that you can focus in what is really important. Already thinking in a perfect example of something you could delegate right now? Perfect! Send it to us: http://www.codacy.com/submitProblem
DecisionNode – shared structured memory for all AI coding tools via MCPApr 2026 · github.com · ▲23CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable. - decisionnode/DecisionNode
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com