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| 7be30c7174 |
docs: agent platform design v2 — the agent algebra (agreed 2026-07-21)
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Unified redesign: two axioms (everything that can receive work is an Agent with a Card and availability function; one verb submit(task, target)) from which the v1 rules follow as theorems — per-model queues (scarcity), quota parking (a(t)=0), reflect-as-task, backbone swap as constraint edit, the Claude Code loop as an ordinary consumer, human-as-agent (KB waiting column = his inbox). Adds what v1 lacked: trust classes (vault=trusted only), prompt-injection taint boundary, always-ask escalation, global budget governor, per-task workspace-lease sandboxing with PR-only merges, KB-literal fabric decision, LiteLLM Auto Router v2 for sync routing, thin KB-polling workers as the executor, Langfuse kept as observability, real A2A protocol adoption. Includes decision log from alvis. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014t8Qg9gi7H7HtT8MncoXAB |
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| 2499218c18 |
docs: add Agap agent platform design (A2A, per-model queues, agents)
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Overall design for moving from a single tool-heavy Adolf to a multi-agent platform: agents as personas (prompt+memory+tools) that can swap backbones, models as the scarce queued resource (per-model queues with always-on / quota-gated / cost-gated / on-demand lifecycles), and A2A patterns (agent cards, task lifecycle, context-by-reference) to move work between them. Covers the required cases: Hindsight reflect as an async queued task to the large model, the Claude Code loop as just another queue-consuming agent, why queues are keyed by model rather than agent, and how the lab grows to remote llama / extra GPUs / research agents. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014t8Qg9gi7H7HtT8MncoXAB |
