io.github.jdhart81/neurogenesis

neurogenesis

Developmental agents for the agent economy: create an agent from a digital genome, then evolve it wi

0.2.0
Version
remote
Transport
14
Tools

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Tools (14)

  • create_agent

    Create a developmental agent from a digital genome: {agent_name, purpose, initial_nodes (unique, >=1), fitness_metrics (>=1), optional growth_rules / safety_axioms}. Returns agent_id + initial graph summary.

  • submit_evaluation

    Evolve an agent with one task outcome: {task_id, task_type, success_score in [0,1], optional accuracy/user_satisfaction/ cost_efficiency/safety_score/notes/used_nodes/used_edges}. Success strengthens the used edges, failure weakens them; growth and pruning follow the genome's rules under its safety axioms (NG1). Returns the new developmental-ledger events.

  • get_agent

    Full current state: genome, cognitive graph (nodes/edges with weights and trust), and summary counts.

  • list_agents

    All developmental agents on this mount, with summary counts.

  • best_next_steps

    Routing recommendation: the strongest next cognitive steps from a given node, by learned edge weight and trust.

  • get_ledger

    The append-only developmental ledger: every growth, pruning, and evaluation event with reasons (NG3 — returned verbatim).

  • export_state

    Portable state document for an agent (import_state recreates it anywhere — including a self-hosted verdigraph-neurogenesis).

  • import_state

    Recreate an agent from an export_state document.

  • delete_agent

    Remove a developmental agent from this mount.

  • register_compute_profile

    Register a caller-owned Wu Wei execution profile: reuse/cache, deterministic rule, local model, tool/workflow, or cloud model. Profiles can declare quality, reliability, capabilities, token costs, latency, locality, energy rates or average power, carbon intensity, and cache confidence/age. Routing never invents capacity or energy evidence.

  • route_task

    Choose the least-burden eligible route for a task. Hard constraints include quality, reliability, locality, capabilities, context, cost, latency, and energy. Optional baselines quantify predicted savings. Explicit allow_defer/value/urgency fields may produce a no-work decision; no result is then claimed. Returns a hash-bound decision receipt.

  • record_route_outcome

    Attach one observed outcome to a Wu Wei decision. Actual cost, latency, and energy are optional and remain explicitly unknown when omitted. One append-only, hash-bound outcome is allowed per decision.

  • compute_efficiency_report

    Free read: decision/outcome receipts, route modes, compute avoided, predicted savings, predicted-vs-observed cost/latency/energy coverage, and Landauer-floor context. Estimates and observations stay distinct.

  • describe_agent

    Return capabilities and input contract.