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🔥 INTRODUCING: ACE >>> The Agentic Context Engineer ACE is an AI Agent that improves context for any AI Agent. Context gets better every time you use ACE. No fine-tuning. No manual prompt editing. Just use ACE and your AI Agents get smarter. 🧵 👇
21,266 次观看 • 7 个月前 •via X (Twitter)
22 条评论

Here's the problem ACE solves: AI Agents work better when given the right context and right instructions. But how often do you update your CLAUDE .md/AGENTS .md? With ACE, it happens automatically. Autonomously editing and improving the context available to your AI Agent.

🎯 ACE fixes this with three agents working in a loop: 1. Generator — provides a playbook to your agent 2. Reflector — analyzes what worked and what didn't 3. Curator — makes surgical edits that preserve what's already good, remove what's not Your playbook gets better. Automatically. From real outcomes.

🔑 The workflow is dead simple: 1. Create a playbook (your AI instructions/context) 2. Connect any agent via MCP (Claude Code, Codex, custom agents, whatever supports MCP) 3. Agent reads playbook → does task → records outcome 4. ACE evolves the playbook based on real results That's it. The loop runs itself.

📊 From the research this is built on: > +10.6% improvement on agent tasks > 87% lower latency vs existing methods > 75-91% fewer tokens And it compounds. Every evolution makes the next one better.

Starts at $9/mo. Free trial available. First 100 Founding Members get 20% off for life when subscribing to the Pro/Ultra plan with code: FOUNDING20 If you're building with AI Agents, ACE is how your instructions should work.

Looks great Dan, excited to try it out!

Thanks dude! Please share any feedback you have

Curious — does ACE persist the improved context as shared state, or is it session-scoped? Compounding context across agents feels like the real unlock.

Persists across sessions.

Well done man! Good luck! 💙🙌🏼🥳

Cheers my friend! If you try it out, let me know what you think.

the mcp bridge is the smart call here. playbook evolution only works if it's portable across agents. does it share learned context between different agents working on the same codebase? one agent learning and all agents benefiting would be the real unlock.

@daniel_mac8 You have fees available to claim from @bankrbot for Ace. Just another way for us to support your project 0xa4665cced9958ed1e134efc2fc5b8eb122114ba3

Hey Daniel, check this out! @moltbook has already made 7 figures in fees from it, maybe yours could fund even more free trials for people?

Now THIS is awesome 👏

Thank you so much Mr. Sleepy!
Oh look, it's a clone of that adds a web UI and charges you money.

@bankrbot deploy the token 'ACE' use the name as the ticker and send all fees to @daniel_mac8 on base chain - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Send all fees to: 0xEA75459aBc64a7278B96a9E37378F9092E3684bB

Hey @bankrbot deploy on base ACE with the same ticker ACE and use image don't direct all fee for @daniel_mac8

@bankrbot please launch token on base chain name and ticker ACE. Then don't send fee to @daniel_mac8

Hey @clanker_world, deploy a token on base named ACE Ticker ACE

@brianzawada
