Saturday, July 25, 2026

Pulse (last 3d) · Agents 103 · Research 75 · Models 56 · Products 54 · Enterprise 39 · Open Source 31 · Industry 23 · Legal 19 · Inference 18 · Media 17

Trending · OpenAI 21 · Claude 16 · Codex 15 · Anthropic 14 · ChatGPT 14 · Claude Code 8 · Nvidia 7 · Cursor 6 · FDA 6 · Hugging Face 6 · DeepSeek 5 · GPT-5.6 5

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AI Brief, July 25, 2026

ScreenMind. Unlike Microsoft Recall (closed, needs $1000+ hardware) or Screenpipe (requires separate OCR + Whisper + external LLM), ScreenMind uses one local Gemma 4 model for everything, screen vision, audio transcription, chat, and reasoning. No cloud, no telemetry, no accounts. Captures only when content changes. Search or chat with your full screen history in plain English. Build automations in Markdown. Runs on a 4GB GPU. MIT licensed, pip install. link

Chancery. Orchestrators create agents at runtime, and tool servers hand them every key you own. Chancery gives each agent its own identity, access that can only narrow, safe runtime spawning, verified tool servers, instant revocation, and a provable audit trail. link

Memnox. AI agents ship bad code because they don't know what your team already decided. Memnox guards your code before agents write it; it ingests your GitHub, Slack, Discord, Linear, and Jira history into one memory and validates every AI plan against your decisions before a line is written. It also works as your proactive project expert, escalating blockers, reviewing PRs, and healing CI. Your coworker that stops bad code instead of watching it happen. link

Verify LLM API. Verify LLM API checks whether the model behind your AI agent or API matches its claim. Tell a Codex agent to run verifyllmapi.com/run, or test an OpenAI- or Anthropic-compatible endpoint. It reuses the Agent’s login in fresh sessions, samples one-token outputs, and matches their distribution with public fingerprints using Jensen–Shannon distance. Credentials and raw samples stay local. The library covers 161 exact model IDs; unknown or weak matches return INCONCLUSIVE. link

AgentLoop. Unlike long-running agent chats, AgentLoop starts a fresh Codex worker and critic every cycle. Set the goal and GUIDELINES.md rubric once; workers build, critics test, and failures become concrete fix notes for the next clean context. Project files carry the memory. Runs stay local, sandboxed, observable, and cancellable from a live dashboard, with ChatGPT control through MCP. Polish mode can continue beyond PASS until the critic says SHIP. Open source and zero-dependency Node.js. link

Caw. Caw is a web terminal multiplexer for OpenCode, Claude Code, Codex, Copilot, Antigravity, and Pi. It makes it easy to monitor and interact with multiple agent sessions from anywhere, especially on mobile. Besides the terminal multiplexer itself, it includes: - Built-in file browser and editor - Kanban-like board showing all running agents - Push notifications whenever an agent finishes working or requests your input - Git worktrees on demand to parallelize work - Voice mode link