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github.com/ccssmnn/hego @main

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267 symbols 561 edges 46 files 154 documented · 58%
What it actually does AI analysis from the code graph — generated when you open this
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Extension points exported contracts — how you extend this code

Ant (Interface)
Ant is the individuum in the population based Ant Colony Optimization (ACO) [3 implementers]
ant_colony.go
AnnealingState (Interface)
AnnealingState represents the current state of the annealing system. Energy is the value of the objective function. Neig [2 …
anneal.go
TabuState (Interface)
TabuState describes the state during a tabu search [2 implementers]
tabu_search.go
Genome (Interface)
Genome represents a genome (candidate) in the genetic algorithm [1 implementers]
genetic.go

Core symbols most depended-on inside this repo

TS
called by 8
tabu_search.go
Verify
called by 8
particle_swarm.go
SA
called by 7
anneal.go
GA
called by 7
genetic.go
AddLine
called by 7
logger.go
newLogger
called by 6
logger.go
Flush
called by 6
logger.go
Verify
called by 5
anneal.go

Shape

Method 112
Function 107
Struct 28
TypeAlias 16
Interface 4

Languages

Go100%

Modules by API surface

genetic.go21 symbols
examples/n-nurses/tabu/main.go14 symbols
examples/n-nurses/aco/main.go14 symbols
examples/n-nurses/anneal/main.go12 symbols
examples/n-nurses/genetic/main.go11 symbols
ant_colony.go11 symbols
genetic_test.go10 symbols
examples/salesman/aco/main.go9 symbols
examples/knapsack/aco/main.go9 symbols
ant_colony_test.go9 symbols
tabu_search.go8 symbols
crossover/perm_test.go7 symbols

For agents

$ claude mcp add hego \
  -- python -m otcore.mcp_server <graph>

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