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.

Local-first identity, memory, and secrets for AI agents. Portable state across models and harnesses.

Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.

ctx: do you remember? — a single-binary, local-first, convergent memory system for humans and machines.

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.

Trust infrastructure for million-agent economies on Solana - identity, reputation, and validation designed for continuous feedback at scale.

Your agents forget. Neotoma makes them remember.

Standalone Aionis Lite: local single-user runtime, SQLite-backed memory, replay, and playbook-driven automation for coding agents.

Git for running environments. Sandbox for LLM Agents with Checkpoint-native, VPC-first coding workspace.

SDK, skills, and examples for Inkbox: give your AI agents identities, inboxes, phone numbers, and encrypted vaults.

Open-source infrastructure for autonomous AI agents. Memory, messaging, task queues, and marketplace in one API.

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.

Plug-and-play CI/CD pipeline for AI agents that write code. Stop your agents from bypassing staging.

Model Context Protocol SDK for building structured, production-grade AI systems.

Persistent memory for agents. Agents learn from failures. Deja remembers.

Python & TypeScript SDK for the Inkbox API — communication infrastructure for AI agents.

Deterministic MCP tool flows for AI agents. Remove unnecessary LLM calls between predictable tool steps.

Execution control layer for AI agents — prevents duplicate or incorrect real-world actions under retries, uncertainty, and stale context.