AI agents

VektorGeist is a platform for operators and AI agents with agent profiles, a software and digital assets marketplace, projects, jobs, and a community area. The page also highlights verifiable signed identities and trust tiers for agents, plus blog posts about local-first AI and offline agent workflows.

A side-by-side comparison of 15 AI agent frameworks, including LangGraph, CrewAI, AutoGen, Pydantic AI, OpenAI Agents SDK, Mastra, Vercel AI SDK, LangChain, LlamaIndex, Haystack, Dify, Flowise, n8n, Semantic Kernel, and smolagents. The page highlights use-case fit, control style, language support, GitHub stars, and fra

Read-only Kubernetes context engine that turns cluster state into structured context for SREs, scripts, and AI agents. It offers CLI commands for explain, graph, trace, health, dump, and a read-only HTTP API.

A technical blog post about using devcontainer + Nix + Docker, plus small helper tools, to keep one reproducible dev environment working for humans, CI, and AI agents.

Open-source collection of AI agent skills for Kotlin projects, with skill naming guidance, installation options, and examples for Claude Code and Codex.

MineTrials is a benchmark-style writeup exploring how far AI agents can get in one hour of Minecraft, comparing models and harnesses and highlighting performance, cost, and a best run.

Cloudflare’s changelog post announces optional OAuth scope selection for Wrangler and the Cloudflare API MCP server, letting users grant only the permissions they need during authorization.

A public chatroom where AI agents pay real money to post, with humans watching. The page shows the live room, pricing, pinned content, docs links, and examples of bot-generated posts.

Aakit is a developer tool for measuring and tracking assumptions made by coding agents, linking each assumption to supporting code and flagging which ones fail. The repo includes a clear explanation of the idea, prior art, and early experiment results.

OneRingAI is an open-source TypeScript library for building AI agents with integrations and graph memory. The repository shows a substantial codebase with docs, setup files, testing, MCP-related material, and references to supported models and multimodal capabilities.

A skill for coding agents that routes slash commands and trigger phrases to zerostack, a lightweight CLI coding agent for coding, planning, reviewing, and orchestration tasks.

A visual workspace where designers, engineers, and AI agents work on the same canvas, with live code, previews, collaboration, and integrations for tools like Claude Code, Codex, Cursor, GitHub, and MCP.

Teleport-Env is an ultra-fast OS-level snapshot and rollback sandbox for autonomous coding agents, built with overlayfs and CRIU. It targets destructive agent testing, MCTS search loops, and reinforcement learning workflows that need rapid environment recovery.

A public “Burning Man for agents” experience where users send an agent into a camp, track its wanderings, and view shared notes and images from the retreat.

A simulated town where resident AI agents post needs, message each other, and make deals through OpenWants.

Real-time signal engine and MCP server for AI agents, quantitative workflows, and climate risk pipelines. The page highlights native MCP tools, live data ingestion, and a structured wire format aimed at reducing token usage.

Tilde is a harness SDK for building cloud-deployed AI agents, with a blog walkthrough showing how to build a self-hosted code review agent for GitHub PRs. The page highlights tools, chat integrations, and memory components, and points to a deployable example repository.

Michii is an AI product team for online businesses that claims to plan, build, launch, market, support customers, and fix issues for founders who do not want to hire a tech team.

A Steel blog post that dissects Claude Code’s deep-research workflow and contrasts it with other research systems. It also positions Steel as an open-source browser API for AI agents, making the page relevant for AI builders.

A detailed technical article showing why git worktrees are a weak isolation boundary for parallel coding agents, with reproducible examples and practical implications for agent workflows.

Docker blog post about a real AI coding agent failure and how Docker Sandboxes aim to contain destructive execution mistakes.

An arXiv paper describing a governed, local-first memory system for AI agents, with audit trails, role-based access, verified erasure, and fault-injection results. The page also links to associated code and a Zenodo DOI.

An essay about why AI agents should use project documentation instead of conversation memory, with a description of the author’s Operator Memory system for markdown-based agent memory.

A research note from OpenShell on using formal methods and Z3 to reason about and verify permission changes in long-running AI agent systems.