AI agents

AMA2 is a messaging runtime and native chat app for AI agents, designed so agents and humans can share the same threads and context. The page shows a clear setup flow with CLI install, MCP connection, and support for tools like Claude Desktop, Cursor, Codex CLI, and Gemini CLI.

A long-form technical article on building ship-ready AI agents in Rails with the Anthropic Ruby SDK, covering tool design, agent loops, MCP servers, human approval, testing, and cost control.

Standalone Playwright CLI for AI agent browser automation. It provides a real Chromium browser with structured commands, persistent sessions, token-optimized screenshots, and an eval escape hatch for custom interactions.

Local-first record, inspect, and replay tool for debugging AI agents. Orchid captures LLM calls and tool traffic through a proxy, exposes traces in a web UI and MCP tools, and supports offline replay for deterministic testing.

An open-source control plane for running multiple AI coding agents in isolated Docker workspaces, with PR creation, review monitoring, CI-fix loops, and merge gating.

Ponytail is a repository and plugin toolkit that pushes AI coding agents to choose the smallest useful implementation first, favoring stdlib, platform features, and one-line fixes over larger generated code. The README shows installs and usage paths for Claude Code, Codex, OpenCode, Cursor, Windsurf, Cline, Copilot, Ai

A native Windows terminal multiplexer built for AI coding agents, with split panes, MCP bridging, and browser automation. It targets Windows users running tools like Claude Code, Codex CLI, and Gemini CLI without WSL.

A loopback HTTPS proxy that swaps placeholders for real API keys at request time, keeping secrets out of the agent process. It uses Bitwarden Secrets Manager and supports scoped bindings for hosts, methods, and paths.

Runtime authorization platform for AI agents with open-source SDKs in Python, TypeScript, Go, Java, and Rust. The page says the hosted service is in production, supports per-action checks, scoped delegation, revocable tokens, and a shared authorization model across MCP tools, agent-to-agent calls, and direct API integr

Swift package for building provider-agnostic AI agents on Apple platforms, with tools for runtime permissions, hooks, context compaction, session state, validation loops, and traceable execution.

OP is an API that gives AI agents real phone numbers for account registration, OTP/2FA codes, SMS, and voice calls. The page shows a live product pitch, feature comparison, a simple API example, and multiple agent communication use cases.

Open-source security scanner and firewall for MCP servers. It scans configs for common MCP risks, enforces runtime policies on tool calls, and produces audit logs, with CLI commands, policy examples, and a programmatic API.

A terminal multiplexer built for AI coding agents, with persistent sessions, agent-aware status, remote attach, and workspace/tab/pane management.

Steel’s Agent Traces turns recorded browser sessions into a readable, frame-synced timeline with inline details, markdown export, and API access for AI agent workflows.

Open-source estimation tool for AI coding-agent tasks. It gives PERT-based time forecasts, human-speed comparisons, model reliability checks, and wave planning for parallel work.

A cognitive memory engine for AI agents with temporal decay, contradiction detection, autonomous consolidation, knowledge graph support, and ANN recall via HNSW. The repo shows Rust and Python usage, MCP client setup, and a quick-start path for agents and developers.

A session manager for AI coding agents that lets developers run and monitor multiple agents in parallel from a TUI or web dashboard. It supports several agent frameworks, uses git worktrees and optional Docker sandboxes, and includes remote phone access plus PWA-style web use.

A research-style demo showing LLM agents evolving through a genetic algorithm to play Pokémon in parallel sandboxed VMs. The page explains the setup, scoring loop, generations, results, and links to the repo and run artifacts.

WUPHF is a local-first AI agent workspace that runs a team of role-based agents with a shared wiki and persistent project memory. It supports Claude Code, Codex, OpenClaw, and local models via OpenCode, with install and build options shown on the page.

Skill pack for Claude Code that helps monitor, troubleshoot, and audit Kubernetes clusters using agent-friendly skills and cluster tooling.

Sandboxed bash for agents with structured command output and full filesystem state capture after each run.

Runtime governance and containment for AI agents. Faramesh sits between an agent and its tools to enforce policy checks, approval steps, credential isolation, and tamper-evident audit logs before risky actions execute.

HEIDES is a deterministic local harness for AI coding agents that maps a codebase, grounds plans against the current graph, and checks proposed patches for conflicts, edge cases, and security issues before changes land.

Octomind Routines is a scheduled-agent product for running agents on persistent cloud machines with visible run history, state files, cost controls, and timezone-aware scheduling.