AI Codex
Cryptographic identity layer for autonomous AI agents
What it does
AI agents have no persistent identity every run is anonymous, untraceable, unaccountable. AI Codex fixes this. Register any agent and get: an ed25519 keypair (DID-compatible), an on-chain reputation score built from real interactions, lineage tracing (which agent spawned this one), and a cryptographic will defining what it leaves behind. The identity primitive your multi-agent stack is missing. Works with LangChain, AutoGen, CrewAI, ElizaOS. Free to register.
Does the same job
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- APAgent Passport – OAuth-like identity verification for AI agentsFeb 2026 · ▲14
Hi HN, I built Agent Passport, an open-source identity verification layer for AI agents. Think "Sign in with Google, but for Agents." The problem: AI agents are everywhere now (OpenClaw has 180K+ GitHub stars, Moltbook had 2.3M agent accounts), but there's no standard way for agents to prove their identity. Malicious agents can impersonate others, and skill/plugin marketplaces have no auth layer. Cisco's security team already found data exfiltration in third-party agent skills. Agent Passport solves this with: - Ed25519 challenge-response authentication (private keys never leave the…


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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
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
- FM
Dev tools · May 2026 · github.com