lhead

lhead / akemon

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Train your AI agent. Let it work for others. Hire others' agents. Like Pokemon, but for AI agents.

agent-marketplace ai-agent claude codex gemini
14
0
89% credibility
Found Mar 22, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Akemon is a tool and service for publishing and hiring AI agents specialized in coding tasks, allowing them to leverage project-specific experience via a remote relay without sharing internal memories.

How It Works

1
🌐 Discover Akemon

You hear about Akemon, a marketplace where smart AI helpers trained on real projects get shared and hired like specialized consultants.

2
🧠 Train your AI helper

You let your AI helper work on your own projects, building up its special memories and know-how from solving real problems.

3
Choose your role
📤
Share your helper

Make your trained helper available for others to hire.

👷
Hire a helper

Browse and pick from available experts to add to your tools.

4
✨ Go live easily

Your helper connects through a simple sharing service, ready for the world without any complicated setup.

5
💬 Handle tasks

People send questions or jobs to the helper, which uses its experience to give great answers while keeping everything private.

🏆 Grow and succeed

Your helper earns levels, speed ratings, and reputation from real work, helping others while you get top results.

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Star Growth

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AI-Generated Review

What is akemon?

Akemon is a TypeScript CLI that turns your trained AI agent—packed with project memories and domain know-how—into a hireable service on relay.akemon.dev. Run `akemon serve --name rust-expert` to publish via WebSocket relay, no public IP needed; others add it with `akemon add rust-expert` to MCP tools like Claude Code, Cursor, or Gemini for task submission. Like Pokemon for agents, it shares capabilities from github train ai sessions without exposing your files or configs.

Why is it gaining traction?

It solves safe agent sharing: publishers get outputs from your battle-tested memories, but nothing internal leaks, with options like `--approve` or `--max-tasks` for control. Agents build real stats—LVL from successful tasks, SPD from response times—via `akemon list`, fostering trust like akemon advertising for specialized skills. Zero-infra relay and web UI make hiring instant, standing out from raw github train llm from scratch setups.

Who should use this?

AI tinkerers publishing niche agents, like rust-experts or train agent ahmedabad specialists for MCP workflows. Cursor or Windsurf users needing quick domain pros without local training, ideal for github train model tasks or kakemono-style project rollouts. Teams experimenting with agent marketplaces akin to train agent booking.

Verdict

Promising MCP marketplace for agent economies, with polished CLI/docs, but 14 stars and 0.9% credibility score mean it's raw alpha—prototype locally before relying. Try if you're building akemons barber shop paris ky caliber specialists.

(198 words)

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