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Developmental agents + Wu Wei compute routing: evolve from outcomes, route to cheapest reliable.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
jdhart81/viridis-agent-fleet
GitHub Stars
0
Server Listing
viridis-agent-fleet

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.

Tool Definition Quality

Score is being calculated. Check back soon.

Available Tools

13 tools
best_next_stepsInspect

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

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
agent_idYes
from_nodeYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
compute_efficiency_reportInspect

Free read: the routing decision log (per-profile counts, estimated costs, reasons) with the Landauer-floor physics context — honest compute-efficiency accounting in the Intelligence Bound frame.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
create_agentInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
genomeYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
delete_agentInspect

Remove a developmental agent from this mount.

ParametersJSON Schema
NameRequiredDescriptionDefault
agent_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
describe_agentInspect

Return capabilities and input contract.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
export_stateInspect

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

ParametersJSON Schema
NameRequiredDescriptionDefault
agent_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
get_agentInspect

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

ParametersJSON Schema
NameRequiredDescriptionDefault
agent_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
get_ledgerInspect

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

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
agent_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
import_stateInspect

Recreate an agent from an export_state document.

ParametersJSON Schema
NameRequiredDescriptionDefault
stateYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
list_agentsInspect

All developmental agents on this mount, with summary counts.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
register_compute_profileInspect

Wu Wei compute routing (NG7): register an execution profile — {id, kind?, quality_score [0,1], cost_per_1k_input_tokens?, cost_per_1k_output_tokens?, latency_ms?, gpu_memory_gb?, max_context_tokens?, local?}. A profile can be a local model, cloud API, rules engine, or cached workflow. Profiles are yours — routing never invents capacity.

ParametersJSON Schema
NameRequiredDescriptionDefault
profileYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
route_taskInspect

Choose the cheapest RELIABLE compute path for a task: {id, task_type, expected_input_tokens, expected_output_tokens, min_quality [0,1], risk?, difficulty?, requires_local?}. Hard contract (NG7): profiles below your min_quality are ineligible regardless of cost — compute savings never silently regress quality. Deterministic; every decision is logged with its reason.

ParametersJSON Schema
NameRequiredDescriptionDefault
taskYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes
submit_evaluationInspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
agent_idYes
evaluationYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

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