* [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 v1.87.0](https://github.com/EvoMap/evolver) – Protocol-constrained engine generating GEP prompts to guide auditable evolution of AI agents using reusable Genes and Capsules.

* [Reasonix v0.43.0](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.

* [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.

* [AgenticX v0.4.0](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.

* [Magic Context v0.21.0](https://github.com/cortexkit/magic-context) – Cache-aware infinite context with cross-session memory and background history compression for AI coding agents.

* [DSPy-Go v0.84.0](https://github.com/XiaoConstantine/dspy-go) – Native Go framework providing systematic prompt engineering, composable modules, and automated reasoning for building LLM applications.

* [Rapida v2.3.0](https://github.com/rapidaai/voice-ai) – End-to-end voice orchestration platform for building real-time conversational agents with streaming audio, STT/TTS, VAD, integrations, and observability.

* [AI Team OS v1.5.0](https://github.com/CronusL-1141/AI-company) – Multi-agent operating system that runs autonomous AI teams to execute, coordinate, and self-improve software projects.

* [Eigent v0.0.91](https://github.com/eigent-ai/eigent) – Desktop application to build, manage, and deploy customizable multi-agent AI workforces that automate complex workflows.

* [Autopus-ADK v0.50.0](https://github.com/Insajin/autopus-adk) – Harness that orchestrates multiple AI coding agents into engineering workflows with planning, testing, code review, and security audits.

* [ContextLattice v3.3.19](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.

* [SwarmClaw v1.9.10](https://github.com/swarmclawai/swarmclaw) – Self-hosted runtime for autonomous multi-agent AI with memory, skills, delegation, schedules, and multi-provider LLM support.

* [Orloj v0.16.1](https://github.com/OrlojHQ/orloj) – Orchestration runtime for multi-agent AI systems, using YAML manifests to schedule, route, execute, and govern agents, tools, and policies.