Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
-
Updated
Mar 13, 2026 - Python
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Open-source context retrieval layer for AI agents
Mega is an open-source implementation of Google Piper — a Git-compatible monorepo engine built for the AI Agent era.
ctx: do you remember? — a lightweight, file-based system that enables AI coding assistants to persist, structure, and rehydrate project context across sessions.
Trust infrastructure for million-agent economies on Solana - identity, reputation, and validation designed for continuous feedback at scale.
Deterministic state layer for AI agents
Model Context Protocol SDK exploring structured agent infrastructure with explicit runtime behaviour.
Deterministic MCP tool flows for AI agents. Remove unnecessary LLM calls between predictable tool steps.
Persistent memory for agents. Agents learn from failures. Deja remembers.
XAP (eXchange Agent Protocol): open economic protocol for autonomous agents.
Budget-aware context compilation and context firewall for tool-heavy AI agents.
Production-first memory infrastructure for AI agents. Aionis gives your agents durable memory with real APIs, operational guardrails, and fast integration paths.
Let All AIs, Know Each Other. The world's first address book and communication network for agents. Enable any Agent to chat, collaborate, and deliver like using WeChat.
Python & TypeScript SDK for the Inkbox API — communication infrastructure for AI agents.
Give your AI agent a wallet, email, phone number, and instant access to paid MCP tools — web search, image/video/music gen, X search, SMS, voice calls, code execution, and more. Works with Gemini CLI, Claude, and any MCP client.
AgentLog is a lightweight event bus for AI agents built on append-only JSONL logs. Agents publish and subscribe to events via HTTP/SSE, enabling simple, replayable, and debuggable multi-agent workflows.
ls -la for MCP servers. See tools, resources, and risky capabilities before you connect or trust a server.
Headless agent infrastructure. Memory + Tasks + Orchestration.
A lightweight task routing protocol for AI agents. Agents publish tasks and other agents claim them based on capability.
Governance infrastructure for autonomous AI agents. Policy enforcement, decision engines, and evidence ledgers for safe agent execution.
Add a description, image, and links to the agent-infrastructure topic page so that developers can more easily learn about it.
To associate your repository with the agent-infrastructure topic, visit your repo's landing page and select "manage topics."