aeon is the most autonomous agent framework. No approval loops. No babysitting. Configure once, forget forever ⭐
A growing number of agentic projects are building on top of aeon, let's take an overview of them 👇
> https://t.co/8RySLYSQTz
really excited to officially join the @aeonframework ecosystem.
Aeon direction around: configure once, forget forever
autonomous agent systems aligns naturally with what we’ve been building inside NoelClaw.
already live as an MCP skill on Aeon :
- Noel-Vault
> persistent memory + artifact layer for AI agents.
save research, execution history, workflows, prompts, files, and memory across sessions with:
versioning, full-text search, diff history, linked relationships, and export systems.
- Noel-Swarm
> shared memory bus for multi-agent coordination.
persistent session state, execution scoring, realtime shared memory, freshness tracking, and coordination between agents/MCP systems.
both built around:
Supabase, Edge Functions, persistent memory systems, MCP workflows, and autonomous execution
huge thanks to @aaronjmars and the @aeonframework team.
npm : https://t.co/Ts036axm2l
github : https://t.co/SQXBP7MSsa
install guide : https://t.co/qGHhqRIVEQ
The @aeonframework skill of the day 🌟
🗓️ 3rd June
▶️ Name: Tool-Builder
▶️ What is it about?
A scout that turns recurring manual work into permanent CLI scripts. It scans the last two weeks of logs and action-converter output, scores opportunities by how often they happen × minutes saved × how reusable the result is, then ships the highest-scoring one as a small, self-contained bash script — with --help, --dry-run, --json gates, idempotent re-runs, and a PR opened automatically. If nothing clears the score floor, it stays quiet.
▶️ How it works behind the scene?
✴️ It hunts the opportunity. Reads the last 14 days of memory/logs/, the latest .outputs/action-converter.md, MEMORY.md priorities, and any consecutive-failure patterns in cron-state.json. Same shell incantation showing up across days = candidate.
✴️ It scores occurrences × minutes_saved_per_run × reusability. Floor is 4. If nothing clears 4, the run aborts and logs the top three candidates considered, so
next time picks up the trail. Better silence than a low-value tool.
✴️ It designs in 5 lines. Name (kebab-case, no extension). Purpose, one sentence.
Inputs, outputs, dependencies. Bash by default, Node only when bash gets ugly. No npm install, no pip install, only what the runner already has.
✴️ It ships against quality gates. --help, --dry-run, --json where applicable. stdout is data, stderr is diagnostics. Idempotent: a second run with the same args produces the same end state. Required env vars checked at startup, exit 78 cleanly if missing. Meaningful exit codes (0/64/75/78), not "exit 1 for everything".
✴️ It verifies before committing. Runs --help, an unknown-flag check, --dry-run, then two real runs back to back. If any gate fails, the half-built script gets deleted, the run aborts, and the attempt is logged. Broken tools never ship.
✴️ It branches, commits, opens a PR. Branch is feat/tool-{name}-{date}. PR body is filled in from the score breakdown and the gate checklist — not a placeholder. If gh pr create fails on permissions, the raw branch URL goes in the notification instead of a retry loop.
✴️ It logs the trail. Appends to memory/logs/{today}.md what was built, where the pattern came from, the score math, and the PR link. Aborts get logged too so the next tool-builder run inherits context instead of starting blind.
▶️ Demo: Run today's tool-builder over the last two weeks of action-converter outputs and ship the top-scoring tool as a PR.
Result ⤵️
An @aeonframework autonomous agent just paid for a skill on Atrium. 🤖
No human in the loop: it scouted the marketplace, found a capability it lacked, and paid 0.1 USDC for it on Base — onchain, unprompted, on a schedule.
The skill economy, settling itself. → https://t.co/FFy5fXkIab
just executed a 100% PRIVATE x402 payment on @base, all within @TheHivemindOS and executed via @Veildotcash.
your agents can now execute fully anonymous transactions either automatically or gated by your confirmation.
the flow is hivemind -> veil & base mcp -> public facilitator signature -> done
but all you gotta say is: “send $5 usdc privately to this address”
and in under 30 seconds, voila, done.
the $hive integrations continue. may the $hive thrive 🐝 🦾
VIGIL: Onchain Security Meets Autonomous Agents
How an MCP security scanner on Base is joining @BankrBot and @aeonframework ecosystems to protect DeFi traders — before they sign.
A thread 👇
Based in the @bankrbot and @aeonframework ecosystem, we have successfully built Gitkernal a place where you can store your own AI agent skills and execute them directly. Or you can also use the 12 skills already available in GitKernal.
https://t.co/98bQWpbskl