#ai-agents

UmaDev: A coding agent that works like a real dev team, commanding the Claude Code / Codex / OpenCode you already use.

Agent orchestration tool with a kanban board

Dotfiles for your AI agents: one ~/.agents repo for skills, MCP servers, hooks, agent roles, and memory — synced natively to Claude Code, Codex, OMP/Pi, OpenCode, Droid, and Hermes. Commit-pinned and audited externals.

Git-native prompt linting, testing, versioning, and CI—without a hosted prompt registry.

MCP server for PayPerByte — pay-per-call USDC data feeds for AI agents (x402 on Base; EIP-712 attestations). No API keys, no token.

Local-first shared memory and task coordination for AI coding agents. One Go binary, MCP server, markdown files you own. Hooks for Claude Code and Codex CLI (and their desktop apps).

MCP server for 1claw secrets vault — gives AI agents secure, just-in-time access to secrets

Cross-platform Computer Use plugin for DeepSeek Harness: observable desktop automation with an isolated virtual cursor, AX/UIA observation, screenshot vision, and 12 guarded tools.

X402 payment protocol client for AceDataCloud APIs

Anti-detect browser automation CLI & Skills for AI agents — Camoufox-powered fingerprint spoofing, no bot-detectable Playwright leaks

Control AI Coding Agents From Your Phone

Token-minimal system views for AI agents. Translate Kubernetes and live state into compact Agent Native Format with Go tooling and governed execution primitives.

The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.

The knowledge graph for APIs your agent can trust. Maps any API — even messy, paywalled, or on-chain ones — into a verified graph your agent traverses instead of guessing, and simulates any action to a receipt before money moves.

A decentralized P2P infrastructure for any service or agent to discover, authenticate, and coordinate. Built in Go with zero-trust cryptography, mesh enables autonomous units to form secure, self-verifying networks without central oversight.

🧠 Local-first LLM state branching & debugging. Capture, visualize, branch, and regression-test LLM calls as a DAG. Free & local via Ollama, any OpenAI-compatible API, MCP for agents. Zero config.

Local-first browser and iOS client for inspecting familiar memory through Coven's validated read APIs.

Laravel-native client for Model Context Protocol (MCP) servers. Built by Redberry (Diamond-tier Laravel partner). Used by LarAgent and other frameworks to enable AI agent functionality.

Give your AI agents structure, guardrails, and full observability — the Agent control plane built on MCP.

Local-first flight recorder for coding agents : replay every run as a live session map, score the context bill, and write the fix back into AGENTS.md — no API key, one npx command.

Run a team of AI coding agents. On your machine. Local-first orchestration for Claude Code, Codex, OpenCode, Antigravity, and Copilot.

A programmable Voice AI platform: SIP and WebRTC call control, multi-party mixing, recording, TTS/STT, and pluggable AI agents (ElevenLabs, VAPI, Pipecat, Deepgram) — all driven through a REST API, webhooks, and a WebSocket event stream

Lightweight Claude Code UI wrapper - integrates with your local settings and chats

Universal control system for coding agents: shared memory, cross-project handoffs, research management, & MCP + Obsidian dashboards across products/repos.

Semantic/OpenAPI proxy for the Tor Metrics Onionoo API, built with FastAPI for easier integration and automated analysis.

Unofficial Telegram MTProto CLI for agents and humans

Deterministic iOS app validation CLI for AI coding agents.

GCF Go implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.

Persistent memory for Claude Code, Cursor, Copilot & Windsurf — your AI stops re-reading your codebase every morning. 120+ MCP tools, semantic search, shared Team Brain. Free tier, EU-hosted.

A scientific-method runtime for AI agents: hypotheses, experiments, evidence, provenance, reproducibility, and auditable conclusions.