Grantex
OAuth 2.0 for AI agents — scoped, revocable, auditable
What it does
Open authorization protocol for AI agents. Instead of handing agents all-or-nothing API keys, Grantex lets humans approve scoped, time-limited grants. Agents receive signed JWTs that any service can verify offline via JWKS — no Grantex account needed. Every action is logged in an append-only audit trail. Revocation takes effect in under 1 second.Ships with TypeScript, Python, and Go SDKs plus 8 framework integrations including LangChain, CrewAI, OpenAI Agents SDK, and MCP.
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- ASA self-hosted OAuth 2.0 server for authenticating AI agents and machineFeb 2026 · github.com · ▲6
MachineAuth is a self-hosted OAuth 2.0 server for authenticating AI agents and machines. What is an AI agent in this context? A software bot (like OpenCLAW, Claude Code, etc.) that makes API calls to access protected resources. Instead of sharing long-lived API keys, your agents can authenticate using OAuth 2.0 Client Credentials and receive short-lived JWT tokens. Why? No more sharing API keys Short-lived tokens (configurable) Easy credential rotation Industry-standard security
Agent Eval KitJul 2026 · iisacc-justmoong.github.io · ▲7Deterministic offline release evidence for AI agents
- IBI built an open source computer-use SDK enabling agents to authenticate2025 · github.com · ▲19
over this weekend myself and two of my friends took part in a hackathon and built this side-project. we have been diving into computer-use recently and developed an sdk to make it easy to implement for devs like us. one feature we were missing though, was the agent being able to log into services. anthropic understandably blocks this capability with their guardrails, and you wouldn't want your credentials to end up in any model context anyways. so we added a keychain service to the vm that the agent is using. it was built using the pass cli (https://www.passwordstore.org/).…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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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, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
