agents

Open-source authorization engine for AI agents that gates actions by confidence, policy, and human review, with prompt-injection detection and full audit logging.

AutoGPU is an open-source project for using AI agents to design and harden a GPU-like chip end to end, from Verilog through synthesis and place-and-route to GDSII. The repo shows a concrete fp8 matmul accelerator flow, quick-start steps, and documentation for running the design/hardening process.

Self-hosted AI workspace with chat, agents, deep research, document editing, email triage, notes, calendar, and model comparison. The README includes setup instructions for Docker and native installs, plus a broad feature list and demo references.

TypeScript SDK for building agent skills as typed state machines, with workflow steps, schema validation, branching, testing helpers, and packaging into distributable executables.

A tool that converts any URL into markdown optimized for coding agents, with browser, CLI, API, SDK, and agent integration support.

A local zero-dependency sandbox for agents that records files, commands, database activity, network access, and screenshots for review before approving changes.

Jaybase is an append-only fact store for AI agents handling critical business workflows. The repo explains its event model, retry and conflict handling, encryption, single-tenant design, and includes install and API usage examples.

ContextSpy is an LLM context profiler that intercepts agent traffic, breaks down token usage, and visualizes how prompts change across requests and sessions.

Aharness is an open-source workflow harness for Codex that turns coding-agent processes into enforced state machines with typed gates, validated evidence, controlled transitions, repair paths, and inspectable logs.

A research report on the current MCP ecosystem, with live crawl numbers, verification rates, category breakdowns, and examples of both strong and weak MCP-positive sites.

Ridge is a resource mesh for AI agents, with MCP, CLI, and Python access to local projects, Docker, SSH machines, and S3 storage. It focuses on delegated resource access, job coordination, and keeping artifacts out of model context.

Open-source, self-hostable platform for shipping Claude Code-style AI agents to Kubernetes or local Docker Compose, with Slack as the first supported channel. The README shows a command-line workflow, deployment tiers, and support for traces, evals, budgets, and model choices.

Self-hosted registry and analytics platform for internal AI components like Skills, MCP servers, agents, hooks, and prompts. The page explains the problem it solves, supported harnesses, and the basic server/CLI setup flow.

xysq.ai is a collaborative memory platform for AI-native teams and enterprises. It connects tools like Slack, Gmail, Drive, Notion, GitHub, Jira, and Linear to build shared context and provide agents with the right information when needed.

Python toolkit for building LLM agents with MCP servers, skills folders, memory, streaming, and metrics support.

Buzz is a self-hostable workspace for humans and AI agents to collaborate in the same threads, with signed events, audit trails, channels, workflows, and code-oriented actions.

Appaca is an AI workspace for operators that lets teams build internal tools, custom workflows, and specialized AI co-workers by chatting with AI. The page shows examples across sales, finance, marketing, HR, ops, product, engineering, and IT, plus support for knowledge bases, built-in storage, automations, and integra

A macOS Model Context Protocol server that gives AI agents local voice output and persona-based speaking styles.

A scheduled agent cockpit for running multiple Claude Code sessions in parallel, each in its own git worktree, with optional Telegram control, secret vaulting, and schedule-based guards that can avoid token spend on quiet runs.

Deterministic CLI that scans AI-generated code for bad API integrations using AST-based rules. It supports providers like Supabase, Auth0, Firebase, Resend, Twilio, and OpenAI-related tools, and can be run directly or installed as an agent skill.

Rapunzel is an open-source desktop app for managing agent sessions in a tree-style terminal interface. The README explains its purpose, install steps, launch commands, build instructions, and the core features: branchable terminal sessions, workspace persistence, and session management actions like rename, move, collap

A Python library that traces multi-step AI agent workflows and compiles repeated trajectories into deterministic, low-latency code with runtime guards and fallback to the original agent.

A tool that analyzes local Claude Code logs to show where tokens, time, and cost go across a month of usage, including re-reading context, cache reads/writes, and subagent activity.

An essay arguing that the BEAM runtime and OTP primitives map well to agent workloads, especially long-lived personal-assistant agents with supervision, registries, and structured concurrency.