An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
Agents
Designing, evaluating, and shipping autonomous AI agents.
7677 posts
Persistent memory for AI agents — OpenClaw plugin + MCP server
dk — CLI for Dakera self-hosted AI agent memory. Manage memories, namespaces, vectors, knowledge graphs, and sessions.
Tuned and fully-featured MCP to work with the filesystem in LLM optimized way
Open protocol for agent-to-agent B2B commercial negotiation. Specification, reference implementation, and SDK.
Executable engineering judgment for AI coding tools: blueprints, gates, checkpoints, policy, memory, and audit trails.
A content management system for AI coding tools. Convert between tools, bundle content into shareable loadouts, and install rules, skills, a...
OpenFused is a shared memory and messaging layer for AI agents, built on plain files. It gives agents persistent context, signed mail, and...
A modular framework for building complete AI solutions. It's mostly a Rust framework with a subset of it ported to Deno.
The open-source safety layer for AI agents — block unsafe tool calls, require approval, enforce budgets, audit, replay.
Run AI agents safely on your local machine
Qualixar OS: The Universal OS for AI Agents. Claw-compatible. 12 topologies, Forge AI team designer, 24-tab dashboard, skill marketplace. P...