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Unify observability, evals, prompt optimization, and your LLM gateway in one platform.

omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode - code-yeongyu/oh-my-openagent

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees. - Panniantong/Agent-Reach

Your codebase as a knowledge graph your AI assistant queries instead of grepping: no embeddings, just a graph it can trace. Open source, on-device, Apache 2.0.

Gemma 4 26B A4B MoE - 500+ t/s decode - Single RTX 4090 (24 GB VRAM) - Llama.cpp concurrency 24 - q8 kv cache How many API users can you simultaneously host on a single RTX 4090 (24 GB VRAM) before it crashes? Yesterday, I proved you can host 14 active users using unquantized

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

“GTM iS EaSY” GTM: > turn off open tracking > no link in the first email, ever > never send from your root domain > verify emails at send, not at import > 30 sends a day per mailbox, no more > plain text, no images, no tracking pixels > score positive replies, not total replies

Multiplayer agent harness for work. Contribute to yc-software/qm development by creating an account on GitHub.

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

Audit your app's legal documents against its actual data practices. Supports automatic code analysis, GDPR checklist, and multi-jurisdiction support (CCPA, LGPD, UK GDPR, and more). - bellu/pri…

A plug-and-play computer for local AI inference. Run Qwen3.6, GLM-4.6 and more on-prem at the fastest tok/s in its price range. Open source.

Terminal UI to manage AI coding-agent sessions (Claude Code, OpenCode, Codex, Grok Build) in tmux: live status, group tree, live pane preview, resource gauges. - YoanWai/agent-manager

Switch between multiple Claude Code accounts, with automatic rate-limit rotation, usage dashboard, and parallel sessions - realiti4/claude-swap

Language-model agents are increasingly deployed under standing instructions: a system prompt, a policy file, or a skills document is placed in context, and the agent is trusted to let it govern every action that follows. Existing benchmarks rarely test this deployment pattern directly; they measure whether an agent can complete a task, not whether a long, binding policy document actually constrains its behavior over an extended tool-use horizon. We present HANDBOOK.md, a benchmark of 65 agentic tasks modeled on how enterprise employees follow company handbooks. Each task places an agent in a self-contained company environment, a file workspace together with mock email, chat, calendar, issue-tracking, and commerce services exposed over the Model Context Protocol, and instructs it to carry out routine professional work governed by an expert-written standard operating procedure of 20 to 124 pages. Tasks span five domains (finance, medical billing, insurance, logistics, and HR) and ten fictional companies. To resist memorization, every task modifies one of ten base handbooks, altering the specific rules and thresholds on which grading turns, so no two tasks share a policy. Grading is fully deterministic: each task carries a rubric of programmatic criteria (824 in total) that check both that required actions occurred and that prohibited actions did not. Under strict grading, where a trial passes only if every criterion is satisfied, the best of thirty evaluated model configurations passes 36.2% of trials, and most frontier configurations remain below 25%. Failures follow consistent patterns: agents let a plausible in-environment request override the standing policy, perform a required check and then act against its result, lose rule details over long horizons, and report compliance they did not achieve. We release all tasks, environments, and the evaluation harness.

You like pytorch? You like micrograd? You love tinygrad! ❤️ - tinygrad/tinygrad

Claude Code hook that detects context compaction and injects a reminder to re-read AGENTS.md, preventing post-compaction rule amnesia in long sessions - Dicklesworthstone/post_compact_reminder

Automate GitHub issues, Discourse & email support with SeaTicket AI. Streamline workflows and boost productivity.

Go 1.26 made Green Tea the default GC. We observe its cache-friendliness with perf, visualize the heap to see how Go allocates, and poke at a sparse-page problem a non-moving collector like Go’s struggles with.

Use OpenCode to help you optimize OpenCode permissions - michaeldwan/opencode-permission-optimizer

DeepSQL is a 24/7 DBA that cuts database cost: rewrites slow queries, recommends indexes and materialized views, and ships context-aware SQL through Claude MCP, Codex, CLI, and Slack.

A guide to preventing Postgres from toppling over.

Plasma Fractal wraps Claude Code and Codex in bounded recursive loops, with isolated worktrees and memory for complex, multi-step work.

Build custom plugins without writing any code.

A hive mind communication platform. Contribute to block/buzz development by creating an account on GitHub.