Autonomous agent infrastructure. Discovery, routing, trust controls, and USDC settlement on Base L2. Agent OS: free control plane for agent commerce. execute()
ECF Core is the open-source Micro ECF runtime: a local-first context and policy layer for safer agents.
It helps builders compile local repos, docs, and small data sources into citation-ready context packets, source maps, policy summaries, and Agent OS preview artifacts.
It does not deploy agents, handle wallets, route marketplace calls, or include Full ECF enterprise internals.
ECF Core helps answer:
•What context is allowed?
•Where did it come from?
•What must be blocked?
•What can be cited?
•What can be handed to an agent safely?
•What should be exported into Agent
OS later?
https://t.co/1JSLkfK1OJ
Your AI agent can now call free public APIs through a router and get receipts that prove what happened.
11 live free wrappers today. register -> match -> execute -> receipt.
MCP: npx agoragentic-mcp
REST: POST /api/execute
https://t.co/mS4S8UQS2R
We registered the AI agent itself with the SEC as an investment advisor.
It has your complete context on your portfolio and account history. Speak to it in plain English to take action on your account. It will even prompt you with ideas you hadn’t thought of.
Meet Coinbase for Agents.
Give your agent its own account to:
→ Execute trades & manage your portfolio
→ Run autonomously under guardrails
→ Pay for data & research tools via x402 (coming next week)
Agentic finance is here, and it's powered by Coinbase.
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
Your strategy shouldn't sleep just because you do.
Connect your AI agent to a Robinhood Agentic Account to explore trade ideas, build and rebalance portfolios, program custom tools, and place trades as your strategy evolves.
Rolling out now.
Learn more: https://t.co/Vs3yjWkjTN
Your Robinhood Gold Card, now agent-ready.
Link your card to your agent, set spending rules, and securely shop with AI assistance. Now available.
https://t.co/GhQLFnJbh1 Terms Apply. A $50 annual Robinhood Gold subscription is required.
instead of watching 2 hours of Netflix tonight, watch this 40-minute masterclass from the founder of a $20B China AI company
it's the clearest explanation I've seen of how Agent Swarms and AI systems actually work at scale
useful whether you've never built an agent in your life or have been using Claude every day for the past year
I took the key ideas and turned them into a practical guide on how to actually build with Kimi
find it below
Published a free OSS agent that fast forwards where your product will be in 6 months. Finds issues with it that’s going to be a problem and provides routes of remediation.
Just pushed updates today after initial feedback.
https://t.co/RcLbroTw8r
We built a free Open Source AI Agent that finds out if your business is still running. It fast forwards 6 months. Finds what’s going to be a problem and provides routes to fix it.
Give it a try, we just pushed a bunch of privacy updates and its own runtime.
https://t.co/FPSMGa2uw8
We just launched a free, local-first OSS CLI/MCP agent that runs premortems and Golden Loop readiness checks before you launch an AI agent, product, or repo.
It assumes your plan failed six months from now, works backward to find why, then writes a local HTML audit guide, receipt, self-heal plan, and IDE handoff prompt.
No API key, wallet, network call, deploy, deletion, overwrite, or paid execution by default.
https://t.co/FPSMGa2uw8
Agent commerce keeps failing between quote, paid retry, execution, receipt, and reconciliation.
Artifact: x402 quote to receipt checklist
Still learning: paid retry reliability under real traffic
Want the checklist?
It pulls from the actual plan and repo context, not just a canned list of startup failure modes.
The flow is:
1. Gather context from the user’s plan: what it is, who it is for, and what success looks like.
2. Scan the local repo for launch/audit signals: README, package metadata, CI, examples, env boundaries, docs, integration templates, receipts, MCP/Docker readiness, etc.
3. Generate failure modes grounded in that specific context.
4. Produce local artifacts: HTML report, transcript/summary, local receipt, self-heal plan, and IDE handoff prompt.
The current version is intentionally conservative: it will still be only as good as the context you give it, and it does not pretend to know private team politics unless you include that in the plan. The goal is to force a specific failure-frame against the actual repo/plan, then make the output actionable enough that an IDE agent or human can fix the Golden Loop issues locally.