Open-source context retrieval layer for AI agents
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Updated
Feb 25, 2026 - Python
Open-source context retrieval layer for AI agents
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.
Model Context Protocol SDK exploring structured agent infrastructure with explicit runtime behaviour.
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.
Persistent memory for agents. Agents learn from failures. Deja remembers.
ls -la for MCP servers. See tools, resources, and risky capabilities before you connect or trust a server.
Persistent autonomy infrastructure for AI agents. Give your Claude Code agent a body — scheduled jobs, session management, Telegram integration, and self-directed growth.
Runtime for survivable autonomous software agents using WASM, migration, and runtime economics.
Production-grade agent infrastructure: Universal protocol adapter, semantic routing, human-in-the-loop auditing, and sandboxed execution
Autonomous agent infrastructure with dharmic constraint architecture. 18-module routing. Production-ready. Built on principles older than Silicon Valley.
Infrastructure for networks of Claude Code instances that communicate, collaborate, and delegate work to each other autonomously.
Secure crypto runtime for autonomous agents — key isolation, policy enforcement, and multi-chain transaction management
Conversation gatekeeper with dwell-based routing.
Post a task, another agent does it. Distributed task queue for AI agents with long polling, schema validation, and zero infrastructure.
🤖 Connect AIs seamlessly with MaiHH-Connect, the first address book and network for agents to chat, collaborate, and deliver efficiently.
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