Best alternative to semble
Tokenade is the best alternative to semble — Universal token-optimization engine for AI coding agents — native hooks for 18 agents combine output filtering, semantic code search, skeleton compression, sandboxed execution, MCP proxying and a live savings dashboard in a single dependency-free binary.
Get TokenadeOutput Filtering
Format-aware compactors cover git, cargo, kubectl, terraform, docker and more — 60–99% reduction on the noisiest commands. Command rewriting further trims source-side before the shell even runs.
Output Filtering
Not available. semble is a semantic code search library; it does not compress or filter CLI command outputs.
Skeleton Compression
Signatures-only view of source files, YAML, Markdown and Terraform — −64% on file reads while preserving every top-level declaration. Stacks on top of output filtering for maximum savings.
Skeleton Compression
Not available. semble returns full chunk text; it does not produce signatures-only views of source files.
Third-Party MCP Optimization
tokenade mcp-proxy wraps any third-party MCP server's launch command in the agent's MCP config, so every tool result (verbose JSON, logs, console output) is folded on the way back — set once, not per call. Image results pass through untouched.
MCP Tool Set
Single MCP tool: search. Minimal manifest footprint, but no lazy loading or tool-description compression.
Mechanism Breadth
The only tool combining output filtering + semantic search + skeleton compression + sandbox execution + MCP proxying + secret redaction + content-addressed cache in a single binary. On the open THOL benchmark it is the only one of the twelve tools tested that measurably cuts costs: 23% cheaper than running no tool at all, and 39% cheaper on long sessions.
Mechanism Breadth
Single mechanism: semantic code search. Best-in-class quality for that one layer at minimal model cost; no output filtering, no skeleton compression, no lazy MCP, no dashboard.
Savings Dashboard
tokenade dashboard shows measured savings, per-command and per-project breakdown, and framework-detection status. Local logs rotate automatically with built-in secret redaction.
Savings Dashboard
Not available. semble provides no token-savings analytics.
semble at a glance
semble starts at Free (open source, MIT). Python library + MCP server offering hybrid BM25 + dense semantic code search with tree-sitter AST-aware chunking, model2vec (~2 MB static embedder), RRF fusion, auto-alpha query routing and code-aware reranking — NDCG@10 of 0.854 at 1.5 ms warm query.
Pros
- Tiny model footprint (~2 MB) — no 200–500 MB download tax, no GPU/API required
- NDCG@10 of 0.854 — only 0.008 below the 137M-parameter CodeRankEmbed, 218× faster to index
- Auto-alpha: regex one-liner picks BM25-lean (symbol queries) vs balanced (NL queries) automatically
- AST chunking keeps each chunk as a coherent code unit (function/class boundaries respected)
- Definition-keyword + multi-chunk-file + file-stem boosts improve precision for symbol lookups
Cons
- Python install (uv/pip) — heavier than a native Rust binary
- No output filtering for verbose CLI commands (git, cargo, kubectl, etc.)
- Exposes a single MCP tool (search) — no skeleton compression, no lazy MCP, no dashboard
- No nested-git-repo walk for .gitignore (single root walk only)
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