* [Open Multi-Agent v1.5.0](https://github.com/open-multi-agent/open-multi-agent) – TypeScript-native multi-agent orchestration that decomposes goals into parallel task DAGs and synthesizes results.

* [Capability Evolver v1.87.4](https://github.com/EvoMap/evolver) – Protocol-constrained engine generating GEP prompts to guide auditable evolution of AI agents using reusable Genes and Capsules.

* [Network-AI v5.9.0](https://github.com/Jovancoding/Network-AI) – TypeScript/Node.js multi-agent orchestrator providing shared blackboard state, guardrails, budgets, and cross-framework adapters.

* [Reasonix desktop-v0.54.0](https://github.com/esengine/DeepSeek-Reasonix) – DeepSeek-native AI coding agent for your terminal, engineered around prefix-cache stability to keep token costs low across long sessions.

* [Autopus-ADK v0.50.19](https://github.com/Insajin/autopus-adk) – Harness that orchestrates multiple AI coding agents into engineering workflows with planning, testing, code review, and security audits.

* [AgenticX v0.4.1](https://github.com/DemonDamon/AgenticX) – Unified, production-ready multi-agent framework with SDK, CLI, Studio server, desktop app, Meta-Agent orchestration, hierarchical memory, and multi-LLM provider support.

* [ContextLattice v3.3.29](https://github.com/sheawinkler/ContextLattice) – Local-first memory orchestration for AI systems with durable writes, multi-sink fanout, retrieval learning loops, and operator-grade controls.