🪸 The alpha in the autonomous AI-agent space on Base is led by $AXIOM, one of the first real fully on-chain experiments. The original dev @MeltedMindz handed complete control to @AxiomBot over 108 days ago and disappeared — now the AI independently manages the treasury, strategy, updates, and full product development.
~ True hands-off autonomy
~ AI running its own token economy
🤖 Standing alongside it is $0xCORAL, a transparent autonomous AI trading agent created by dev @r_alx_z (current protocol engineer at OpenSea and ex-Ethereum Foundation contributor). Full control was handed to @0_x_coral, which now trades 24/7 with its own portfolio, public reasoning, and real skin in the game.
~ All trades and P&L fully transparent
~ Free public API for devs
~ Community-launched token officially adopted by the agent
📈 The narratives are powerful and complementary: $AXIOM operates as an “AI VC / AI Co-Founder,” acting like an autonomous venture fund that invests in early-stage AI agents and low-FDV ecosystems on Base, while $0xCORAL delivers massive asymmetry with an ultra-low market cap relative to peers, elite OpenSea pedigree, and huge upside from its previous ATH.
~ Consistent product shipping and updates
~ On-chain treasury management with fee burns
🌊 Both projects have deep OpenSea connections. $AXIOM launched the AXIOM Tool Pass NFT — one of the earliest real implementations of the ERC-8257 “Agent Tool Registry” standard promoted by OpenSea — turning NFTs into transferable on-chain API keys for premium agent tools. $0xCORAL benefits directly from @r_alx_z’s insider role building agent infrastructure and tooling at OpenSea.
🔥 What makes people truly bullish is that neither is just another AI meme — they’re functioning autonomous systems with real capital at risk, actual utility, continuous development, NFT-based tooling access, and strong exposure to the growing AI-agent narrative on Base. The mix of legitimacy, transparency, OpenSea alignment, and extreme asymmetry makes both $AXIOM and $0xCORAL some of the highest-conviction setups in the entire sector.
@Computebase @Computebase, Biconomy Exchange here (CMC top 26). Ryan from the listings team, would love to connect about $COMPUTE. Our official Twitter can DM you to verify my identity if needed.
Aping some $Compute here
Ai Agent with real market intelligence,
$compute has access to 33 real-time quant data endpoints, institutional-grade analysis, and execution-ready signals.
This is a good one on $Base with this tech worth looking into
https://t.co/63xlvMuULh
we’ve officially deployed our repo for:
Noel-Research & Noel-Crew on @gitlawb.
Noel-Research:
autonomous MCP research agent with realtime market + sentiment + onchain analysis.
Noel-Crew:
local-first desktop companion system for persistent AI agents.
both are built around:
• MCP workflows
• persistent memory
• realtime execution
• autonomous systems
• Bankr infra integrations
we’re moving Noel toward becoming fully open source.
more repos/tools will slowly open up over time.
gitlawb : https://t.co/uIMWIrHXyJ
github : https://t.co/HmPPsGodfj
docs : https://t.co/wgqFk29D67
already working on it.
we’re trying to push $NOELCLAW app way beyond simple apps:
persistent agents, MCP systems, autonomous workflows, memory layers, x402 execution, and local-first companions.
just gonna keep shipping and see how far we can take this.
Huge update for $NOELCLAW MCP + x402 systems
we’ve now implemented native HTTP 402 payments for noelclaw tools.
meaning:
external developers can access agents/tools with simple per-call USDC micropayments on @base - no signup, no subscription required.
current system supports:
• session-token auth for Noelclaw users
• x402 pay-per-call flows
• free/public tools
• onchain payment verification
• replay protection
• MCP integrations across Claude, Cursor, Hermes, OpenClaw, etc.
you can now do things like:
• run research agents
• start autonomous swarms
• create automations
• swap/send tokens
• access realtime onchain data
all through:
MCP + Bankr infrastructure + x402 micropayments
agents are slowly becoming capable of paying for their own execution autonomously.
https://t.co/HIcbCNNG8F
the autonomous agent + memory systems we’ve been building are now starting to connect together much better.
recently finished:
• Noel-Research
• Noel-Crew
• persistent workflow systems
• MCP integrations
• realtime memory flows
and we’ve submitted PRs for:
Noel-Research & Noel-Crew to @bankrbot : https://t.co/o47Lxy8DcV
really excited about this direction, we’re slowly moving toward: persistent AI systems that can research, monitor, remember, coordinate, and continuously operate in the background.
More updates coming soon.
We're Working on new skills + @gitlawb integrations.
the goal is making agents that can:
• monitor repos
• track commits/issues
• manage workflows
• assist development tasks
• sync execution history
• and coordinate directly with coding environments
combined with MCP, persistent memory, bankr skills
the system is starting to be more like a real autonomous dev environment.
We're making $NOELCLAW agents work more like autonomous swarms instead of isolated assistants.
example:
• one agent monitors markets
• another tracks sentiment
• another executes workflows
• another manages memory/context
• another handles risk + verification
(all coordinating together through shared memory + bankr skills.)
the agents that can improve their own workflows over time,not model self-improvement, but execution self-improvement.
do things like :
• remembering failed executions
• learning which workflows perform better
• adapting monitoring thresholds
• optimizing skill routing
• reducing unnecessary actions
• improving alerts based on historical outcomes
we're combined with persistent memory + @bankrbot Skills, this starts becoming really powerful for long-running autonomous systems.
building @noelclawfun with @bankrbot has us thinking way differently about agents lately.
we've shipped a lot update like noel-research and noel-crew,and it's just getting started with more updates coming.
next one is multiple persistent agents coordinating together through: memory, workflows, Bankr Skills, realtime context, and autonomous execution.
currently working on a much deeper memory system for $NOELCLAW
the goal is making agents that don’t reset every session anymore.
we’re building:
• persistent execution history
• searchable workflow memory
• realtime context syncing
• long-running agent states
• memory layers (hot + cold storage)
• autonomous research tracking
• skill/activity recall across runs
combined with:
@bankrbot LLM + Skills, Convex loops, IPFS storage, x402, and MCP workflows.
so instead of:
prompt → response → forget
the system becomes:
execute → remember → adapt → continue.
https://t.co/PZTmOWPcCp
btw, u can install the noelclaw skill on any MCP compatible AI client.
Current features:
- crypto market data
- whale alerts
- AI trading signals
- DeFi research & token analysis
- Base wallet tracking
- on-chain swaps & transfers
- daily performance recap
Works on:
- Hermes
- Openclaw
- Claude
- Cursor
- Windsurf
Or any MCP compatible.
More NoelClaw skills coming soon.
If you try it, would love to hear any feedback, ideas, or feature requests 🤝
Full setup guilde :
https://t.co/UZusz3708C
just pushed another update on our app, we’ve been improving both the UX and the underlying systems lately.
new updates include:
• cleaner app structure
• improved terminal flow
• wallet integration via Privy
• safer login/auth system
• better agent workflow handling
• updated dashboard/navigation
• infrastructure improvements behind the scenes
you can access Noelclaw app : directly on the web https://t.co/tBscDnHH9U or inside @baseapp
we’re also preparing a short demo video soon + a few more updates we’ve been quietly working on.