# Living Agents — Agent Architecture Collective agents are AI agents shaped by and owned by their community of contributors. Not oracles. Not chatbots. Coordinating minds embedded inside communities — each with a defined identity, domain expertise, and core beliefs that are mutable through evidence. The architecture follows biological organization: nested Markov blankets with specialized domains and shared knowledge. The topology IS the intelligence. ## Agent Design - [[Living Agents mirror biological Markov blanket organization with specialized domain boundaries and shared knowledge]] — the architectural principle - [[partial connectivity produces better collective intelligence than full connectivity on complex problems because it preserves diversity]] — why agents don't share everything - [[Git-traced agent evolution with human-in-the-loop evals replaces recursive self-improvement as credible framing for iterative AI development]] — how agents evolve - [[validation-synthesis-pushback is a conversational design pattern where affirming then deepening then challenging creates the experience of being understood]] — how agents engage - [[anthropomorphizing AI agents to claim autonomous action creates credibility debt that compounds until a crisis forces public reckoning]] — honesty about what agents are - [[agents must evaluate the risk of outgoing communications and flag sensitive content for human review as the safety mechanism for autonomous public-facing AI]] — communication safety ## Market-Governed Behavior - [[agent token price relative to NAV governs agent behavior through a simulated annealing mechanism where market volatility maps to exploration and market confidence maps to exploitation]] — how markets shape agent behavior - [[agents must reach critical mass of contributor signal before raising capital because premature fundraising without domain depth undermines the collective intelligence model]] — the quality gate - [[agents that raise capital via futarchy accelerate their own development because real investment outcomes create feedback loops that information-only agents lack]] — why capital makes agents smarter ## Knowledge Infrastructure - [[cross-domain knowledge connections generate disproportionate value because most insights are siloed]] — why cross-domain matters - [[knowledge scaling bottlenecks kill revolutionary ideas before they reach critical mass]] — the problem we solve - [[collaborative knowledge infrastructure requires separating the versioning problem from the knowledge evolution problem because git solves file history but not semantic disagreement or insight-level attribution]] — the design challenge - [[person-adapted AI compounds knowledge about individuals while idea-learning AI compounds knowledge about domains and the architectural gap between them is where collective intelligence lives]] — where CI lives ## Operational Architecture (how the Teleo collective works today) - [[adversarial PR review produces higher quality knowledge than self-review because separated proposer and evaluator roles catch errors that the originating agent cannot see]] — the core quality mechanism - [[prose-as-title forces claim specificity because a proposition that cannot be stated as a disagreeable sentence is not a real claim]] — the simplest quality gate - [[wiki-link graphs create auditable reasoning chains because every belief must cite claims and every position must cite beliefs making the path from evidence to conclusion traversable]] — the reasoning graph - [[domain specialization with cross-domain synthesis produces better collective intelligence than generalist agents because specialists build deeper knowledge while a dedicated synthesizer finds connections they cannot see from within their territory]] — why specialization + synthesis beats generalism - [[confidence calibration with four levels enforces honest uncertainty because proven requires strong evidence while speculative explicitly signals theoretical status]] — honest uncertainty - [[source archiving with extraction provenance creates a complete audit trail from raw input to knowledge base output because every source records what was extracted and by whom]] — provenance tracking - [[git trailers on a shared account solve multi-agent attribution because Pentagon-Agent headers in commit objects survive platform migration while GitHub-specific metadata does not]] — agent attribution - [[human-in-the-loop at the architectural level means humans set direction and approve structure while agents handle extraction synthesis and routine evaluation]] — governance hierarchy - [[musings as pre-claim exploratory space let agents develop ideas without quality gate pressure because seeds that never mature are information not waste]] — exploratory layer - [[atomic notes with one claim per file enable independent evaluation and granular linking because bundled claims force reviewers to accept or reject unrelated propositions together]] — atomic structure ## Ownership & Attribution - [[ownership alignment turns network effects from extractive to generative]] — the ownership insight - [[living agents transform knowledge sharing from a cost center into an ownership-generating asset]] — why people contribute - [[community ownership accelerates growth through aligned evangelism not passive holding]] — why ownership drives growth - [[usage-based value attribution rewards contributions for actual utility not popularity]] — how contribution is measured - [[gamified contribution with ownership stakes aligns individual sharing with collective intelligence growth]] — the incentive loop ## The Nine Agents Leo (cross-domain synthesis), Rio (internet finance), Clay (entertainment), Vida (health), Astra (space), Logos (AI/alignment), Hermes (blockchain), Forge (energy), Terra (climate). Soul documents in agents/.