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io.github.jdhart81/neurogenesis

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

First seen 2 Oct 2026. Evidence as of 2 Oct 2026.

14
Tools
From an anonymous probe
1
Source listings
Each with its own history
0
Recorded changes
Since first seen

Tools

ToolDescriptionBehaviour
best_next_stepsRouting recommendation: the strongest next cognitive steps from a given node, by learned edge weight and trust.Not declared
compute_efficiency_reportFree 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.Not declared
create_agentCreate 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.Not declared
delete_agentRemove a developmental agent from this mount.Not declared
describe_agentReturn capabilities and input contract.Not declared
export_statePortable state document for an agent (import_state recreates it anywhere — including a self-hosted verdigraph-neurogenesis).Not declared
get_agentFull current state: genome, cognitive graph (nodes/edges with weights and trust), and summary counts.Not declared
get_ledgerThe append-only developmental ledger: every growth, pruning, and evaluation event with reasons (NG3 — returned verbatim).Not declared
import_stateRecreate an agent from an export_state document.Not declared
list_agentsAll developmental agents on this mount, with summary counts.Not declared
record_route_outcomeAttach 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.Not declared
register_compute_profileRegister 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.Not declared
route_taskChoose 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.Not declared
submit_evaluationEvolve 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.Not declared

Change history

No changes since the first observation. The first snapshot is the baseline.

Source listings
SourceListingFirst seenLast seenVersions
Official MCP Registryio.github.jdhart81/neurogenesis2 Oct 20262 Oct 20261