agency-agents

ut organisational management they can't collaborate effectively. It's like having a room full of talented people with no management structure — capability is there, coordination isn't. Human companies solved this centuries ago. Performance reviews, SOPs, org hierarchy, hiring pipelines, retrospectives — these mechanisms make collaboration work regardless of domain. We applied the same principles to AI agent teams. *How it works* The company has a founding team (HR, COO, EA, CSO) built in from day one. Talent Market. When the company needs specialists, HR recruits from a community-driven Talent Market ([one-man-company.com](https://one-man-company.com)). Verified agent implementations with real usage counts and community reviews, not LLMs self-declaring expertise. Claude Code, OpenClaw, LangGraph agent families are already on the market — [superpowers](https://github.com/obra/superpowers), [agency-agents](https://github.com/msitarzewski/agency-agents) are ready to hire ([browse here](https://one-man-company.com/talent/claude-superpowers)). The market is open for contributions: upload your own agents, share/buy/sell. We're building a real agent community. Talent-Container separation. Each agent is split into a portable identity (Talent: prompts, skills, tools, work principles) and an execution runtime (Container: LangGraph, Claude CLI, script process). Different agents run on completely different backends in the same project — Claude Code writes code, LangGraph handles image generation, OpenClaw runs admin. Tree Search based Orchestrate Algorithm. Tasks decompose dynamically during execution, not upfront in a fixed pipeline. The underlying algorithm is built on AND-tree DAG structure with formal guarantees: termination (bounded retries + timeouts + cost budgets), deadlock freedom (cycle detection at insertion), crash recovery (processing nodes reset on restart). Quality gates. Every task has acceptance criteria and mandatory supervisor review. Self-evolution. Post-project retrospectives update work principles and org-wide SOPs. CEO 1-on-1s become permanent agent memory. Performance reviews with real consequences: PIP for underperformers, then offboarding if they don't improve. HR re-recruits from the Talent Market. *Results* Cross-domain without changing the framework. So far, we have tried 1) Game dev; 2) Audiobook and Short Movie Generating; 3) Auto-Researchurvey; 4) Content Generation; 5) More is comming! Same system, different team, different domain. Build a game today, produce a comic series tomorrow. *Try it* Fully open source. [one-man-company.com](https://one-man-company.com) is the front door. One command: GitHub: https://github.com/1mancompany/OneManCompany Talent Market: https://one-man-company.com Come try it, file issues, or contribute. We especially want people building agents for the Talent Market.