* [RuFlo v3.56.0](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [RuFlo v3.55.0](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [RuFlo v3.54.0](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [RuFlo ruflo-console-v0.43....](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [Neo.mjs 13.2.0](https://github.com/neomjs/neo) – Modern JavaScript framework for building feature-rich web applications with multi-threading support.

* [RuFlo v3.56.2](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [RuFlo v3.56.1](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [RuFlo v3.54.1](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [Hive v5.163.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [RuFlo v3.56.9](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [Hive v5.162.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Strands Agents python/v1.60.0](https://github.com/strands-agents/harness-sdk) – Model-driven SDK for building and running AI agents, with customizable agent loops, multi-agent workflows, and model-agnostic providers.

* [Paperclip v2026.1012.0](https://github.com/paperclipai/paperclip) – Orchestrates teams of AI agents to run companies, with org charts, budgets, governance, and a React dashboard.

* [RuFlo v3.56.8](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [RuFlo v3.56.7](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [RuFlo v3.56.6](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [RuFlo v3.56.5](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [RuFlo v3.56.4](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [Hive v5.161.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.158.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.157.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [AI Maestro v0.62.0](https://github.com/23blocks-OS/ai-maestro) – Agent orchestrator providing persistent memory, agent-to-agent messaging, and a dashboard to manage agents across multiple machines.

* [RuFlo v3.56.3](https://github.com/ruvnet/ruflo) – Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.

* [ReevesAgents v1.8.0](https://github.com/mertkayacs/reevesagents) – Local tmux-first workspace that lets one AI coding agent spawn, steer, and supervise other agent CLIs via MCP with shared TUI, Web UI, and CLI control.

* [Hive v5.154.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.153.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.152.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.151.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.150.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.149.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [AI Maestro v0.61.0](https://github.com/23blocks-OS/ai-maestro) – Agent orchestrator providing persistent memory, agent-to-agent messaging, and a dashboard to manage agents across multiple machines.

* [Hive v5.148.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.147.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.143.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Strands Agents harness-cli/v0.2.0](https://github.com/strands-agents/harness-sdk) – Model-driven SDK for building and running AI agents, with customizable agent loops, multi-agent workflows, and model-agnostic providers.

* [Hive v5.141.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.140.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.139.0](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.163.1](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [AI Maestro v0.68.1](https://github.com/23blocks-OS/ai-maestro) – Agent orchestrator providing persistent memory, agent-to-agent messaging, and a dashboard to manage agents across multiple machines.

* [Hive v5.161.2](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.161.1](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [TaskTrooper v0.3.0](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [Hive v5.158.2](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.158.1](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.156.1](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.150.1](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [AI Maestro v0.60.7](https://github.com/23blocks-OS/ai-maestro) – Agent orchestrator providing persistent memory, agent-to-agent messaging, and a dashboard to manage agents across multiple machines.

* [Hive v5.147.1](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.143.1](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [AI Maestro v0.60.4](https://github.com/23blocks-OS/ai-maestro) – Agent orchestrator providing persistent memory, agent-to-agent messaging, and a dashboard to manage agents across multiple machines.

* [AI Maestro v0.60.2](https://github.com/23blocks-OS/ai-maestro) – Agent orchestrator providing persistent memory, agent-to-agent messaging, and a dashboard to manage agents across multiple machines.

* [Hive v5.141.2](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.141.1](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.161.6](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.161.5](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.161.4](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [Hive v5.161.3](https://github.com/hivecommons/hive) – Hive orchestrates AI agents for issue and pull request workflows in Go, using deterministic shell pipelines for governance before LLM-driven judgment and PR creation.

* [TaskTrooper v0.3.2](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [ReevesAgents v1.8.2](https://github.com/mertkayacs/reevesagents) – Local tmux-first workspace that lets one AI coding agent spawn, steer, and supervise other agent CLIs via MCP with shared TUI, Web UI, and CLI control.

* [useAgent native-runtime-3ab52...](https://github.com/useagenthq/useagent) – Provider-neutral AI coworker that runs durable, event-sourced agent sessions with isolated Linux sandboxes and team context to produce complete artifacts and PRs.

* [useAgent native-runtime-db6f1...](https://github.com/useagenthq/useagent) – Provider-neutral AI coworker that runs durable, event-sourced agent sessions with isolated Linux sandboxes and team context to produce complete artifacts and PRs.

* [useAgent native-runtime-e23fb...](https://github.com/useagenthq/useagent) – Provider-neutral AI coworker that runs durable, event-sourced agent sessions with isolated Linux sandboxes and team context to produce complete artifacts and PRs.

* [TaskTrooper v0.3.1](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [ReevesAgents v1.8.1](https://github.com/mertkayacs/reevesagents) – Local tmux-first workspace that lets one AI coding agent spawn, steer, and supervise other agent CLIs via MCP with shared TUI, Web UI, and CLI control.

* [TaskTrooper v0.2.19](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [trackinizer v0.1.6](https://github.com/rekursiv-ai/trackinizer) – Centralized database for managing agent and human inquiries, knowledge, and work with a FastAPI backend over Postgres.

* [Festival v0.3.19](https://github.com/Obedience-Corp/festival) – Standardized workspace and workflow for AI agents, combining version-controlled context with structured methodology plans for long-running, verifiable work.

* [Festival v0.3.18](https://github.com/Obedience-Corp/festival) – Standardized workspace and workflow for AI agents, combining version-controlled context with structured methodology plans for long-running, verifiable work.

* [Warren v0.19.3](https://github.com/jayminwest/warren) – Self-hostable control plane that spawns ephemeral, sandboxed coding agents on GitHub repos, streams events, and returns a branch for PRs.

* [TaskTrooper v0.2.18](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [TaskTrooper v0.2.17](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [Festival v0.3.20](https://github.com/Obedience-Corp/festival) – Standardized workspace and workflow for AI agents, combining version-controlled context with structured methodology plans for long-running, verifiable work.

* [TaskTrooper v0.2.23](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [TaskTrooper v0.2.22](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [TaskTrooper v0.2.21](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [TaskTrooper v0.2.20](https://github.com/makifbaysal/tasktrooper) – Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.

* [useAgent native-runtime-68863...](https://github.com/useagenthq/useagent) – Provider-neutral AI coworker that runs durable, event-sourced agent sessions with isolated Linux sandboxes and team context to produce complete artifacts and PRs.

* [useAgent native-runtime-b8229...](https://github.com/useagenthq/useagent) – Provider-neutral AI coworker that runs durable, event-sourced agent sessions with isolated Linux sandboxes and team context to produce complete artifacts and PRs.

* [useAgent native-runtime-2fab6...](https://github.com/useagenthq/useagent) – Provider-neutral AI coworker that runs durable, event-sourced agent sessions with isolated Linux sandboxes and team context to produce complete artifacts and PRs.