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duysolo

codebaxing

by duysolo
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CHROMADB_URLNoChromaDB server URLhttp://localhost:8000
GEMINI_API_KEYNoGemini API key (alternative to CODEBAXING_GEMINI_API_KEY)
OPENAI_API_KEYNoOpenAI API key (alternative to CODEBAXING_OPENAI_API_KEY)
VOYAGE_API_KEYNoVoyage API key (alternative to CODEBAXING_VOYAGE_API_KEY)
CODEBAXING_DTYPENoModel quantization (local only): fp32, fp16, q8, q4q8
CODEBAXING_DEVICENoCompute device (local only): cpu, cudacpu
CODEBAXING_WORKERSNoWorker threads for parallel embedding (local only, 0=off)2
CODEBAXING_MAX_CHUNKSNoMax chunks to index500000
CODEBAXING_MODEL_CACHENoModel cache directory (local only)~/.cache/codebaxing/models
CODEBAXING_MAX_FILE_SIZENoMax file size in MB1
CODEBAXING_GEMINI_API_KEYNoGemini API key (or use GEMINI_API_KEY)
CODEBAXING_OPENAI_API_KEYNoOpenAI API key (or use OPENAI_API_KEY)
CODEBAXING_VOYAGE_API_KEYNoVoyage API key (or use VOYAGE_API_KEY)
CODEBAXING_EMBEDDING_MODELNoOverride embedding model name
CODEBAXING_FILES_PER_BATCHNoFiles per batch (lower = less RAM)100
CODEBAXING_PARALLEL_BATCHESNoConcurrent batches3
CODEBAXING_EMBEDDING_BASE_URLNoCustom API endpoint for cloud providers
CODEBAXING_EMBEDDING_PROVIDERNoEmbedding backend: local, gemini, openai, voyagelocal
CODEBAXING_EMBEDDING_DIMENSIONSNoOverride embedding dimensions
CODEBAXING_METADATA_SAVE_INTERVALNoSave progress every N batches10

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
indexA

Index a codebase for semantic search. REQUIRED FIRST STEP.

Modes:

  • auto (default): Smart detection. If index exists, updates incrementally.

  • full: Force complete re-index.

  • load-only: Just load existing index without any indexing.

Creates a .codebaxing/ folder in the codebase directory.

searchA

Semantic search for code. Returns ranked code chunks with file paths and line numbers.

Examples:

  • search(question="authentication login flow")

  • search(question="user model", language="python", symbol_type="class")

statsB

Get statistics about the currently loaded codebase index.

languagesA

List all supported programming languages and file extensions.

cleanA

Clean all indexed data for a codebase. Deletes ChromaDB collection and .codebaxing/ data. Preserves user config (ignore.json). Use this to fix corrupted indexes or start fresh.

rememberB

Store a memory for later retrieval.

Memory types: conversation, status, decision, preference, doc, note TTL options: session (24h), day, week, month, permanent (default)

recallA

Retrieve memories using semantic search.

Filters: memory_type, tags, time_range (today, week, month, all)

forgetA

DESTRUCTIVE: Remove memories matching specified criteria.

Delete by: memory_id, memory_type, tags, older_than (1d, 7d, 30d, 1y)

memory-statsA

Get statistics about stored memories for the current project.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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