| 10/08 | 9 |
Enterprise-grade multi-agent orchestration platform for deploying, coordinating, and optimizing specialized AI agents.
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| 10/10 | 7 |
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.
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| 10/09 | 7 |
Agent orchestrator providing persistent memory, agent-to-agent messaging, and a dashboard to manage agents across multiple machines.
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| 10/09 | 7 |
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.
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| 10/07 | 7 |
Model-driven SDK for building and running AI agents, with customizable agent loops, multi-agent workflows, and model-agnostic providers.
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| 10/10 | 6 |
Local-first agent platform that runs task-based role agents to plan, implement, test, and open pull requests locally on your machine.
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| 10/06 | 6 |
REDCELL orchestrates LLM agents to execute real penetration testing in a Kali container and generate structured reports with live operator control.
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| 10/10 | 5 |
Provider-neutral AI coworker that runs durable, event-sourced agent sessions with isolated Linux sandboxes and team context to produce complete artifacts and PRs.
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| 10/08 | 5 |
Centralized database for managing agent and human inquiries, knowledge, and work with a FastAPI backend over Postgres.
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| 10/08 | 5 |
Standardized workspace and workflow for AI agents, combining version-controlled context with structured methodology plans for long-running, verifiable work.
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| 10/07 | 5 |
Self-hostable control plane that spawns ephemeral, sandboxed coding agents on GitHub repos, streams events, and returns a branch for PRs.
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