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Task-specific agents: LLMs answer typed questions, code owns the math and side effects. First up: LUNA (work in progress).

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agents

A collection of task-specific agents. Each one lives in its own folder with its own README, dependencies and tests.

Agent What it does Status
luna/ Local-first agentic layer over Jira, Discord and Slack for a student lunar rover team: status intake, standups, meeting action items, blocker/budget alerts, Q&A with citations, design-review drafts, deadline reminders, and a risk manager. Work in progress, not deployed
a11y-agent/ Visitors report accessibility barriers; an agent triages each report against a WCAG 2.2 success criterion and proposes a patch that a human approves before it deploys. Work in progress: widget live, agent currently broken (see its README)
incident-agent/ Kubernetes alert investigation with one narrowly-scoped, human-approved action. Work in progress
graph-runtime/ Checkpointed agent graphs with human-approval interrupts. Work in progress
cephlapod/ Orchestration harness for coding agents on a pool of local models. Work in progress, not running
leviathan/ Multi-model news clustering and risk rating. Work in progress

Shared rule across these agents: the model only answers typed questions (choose, score, yes/no) with probabilities; code owns the math, control flow and side effects, and anything that writes to another system goes through a human-confirmed proposal.

More agents that aren't published yet, and what each one still needs, are in CATALOG.md.

About

Task-specific agents: LLMs answer typed questions, code owns the math and side effects. First up: LUNA (work in progress).

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