<!-- mcp-name: io.github.bbajt/codemap-mcp -->
CodeMap — Turn Your AI Agent Into a Semantic Dragon
        
Stop feeding your AI agent raw source files. Give it a semantic index instead.
CodeMap is a Roslyn-powered MCP server that lets AI agents navigate C#, VB.NET, and F# codebases by symbol, call graph, and architectural fact — instead of brute-reading thousands of lines of source code. One tool call. Precise answer. No context flood.
Average token savings: 90%+ versus reading files directly.
---
Install via Claude Code or manually
The fastest way to install is to paste the prompt below into a Claude Code shell. Claude will check your environment, install the tool, and register it as an MCP server — no manual steps needed.
Check whether .NET 10 SDK is installed by running
dotnet --version. If the reported version is below 10.0, install it: on Windows runwinget install Microsoft.DotNet.SDK.10, on macOS/Linux download from https://dotnet.microsoft.com/download/dotnet/10.0. Verify withdotnet --versiononce done. Once .NET 10 is confirmed, install CodeMap: ifcodemap-mcpis not yet installed rundotnet tool install --global codemap-mcp, otherwise rundotnet tool update --global codemap-mcpto get the latest version. Verify the binary is reachable withcodemap-mcp --version. Finally, register it as a global MCP server in Claude Code by runningclaude mcp add codemap-mcp codemap-mcp --scope userand confirm it appears in the output ofclaude mcp list.
Or install manually:
# Install .NET 10 SDK if needed (Windows)
winget install Microsoft.DotNet.SDK.10
dotnet tool install --global codemap-mcp
codemap-mcp --version
claude mcp add codemap-mcp codemap-mcp --scope user
Requires .NET 10 (LTS). If you're working on a C# or VB.NET codebase you almost certainly have it already — check with dotnet --version.
Upgrading from v1.x
v2.0.0 uses a new binary storage engine (memory-mapped segments instead of SQLite). Your old .db baselines are not auto-migrated — run index.ensure_baseline once per repo to rebuild. Old baselines are harmless and can be cleaned with index.cleanup. If you need the old engine temporarily, set CODEMAP_ENGINE=sqlite.
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The Problem
An AI agent working on a C# codebase without CodeMap does this:
Agent: I need to find who calls OrderService.SubmitAsync.
→ Read OrderService.cs (3,600 tokens)
→ Read Controllers/... (3,600 tokens)
→ Grep across src/ (another 3,600 tokens)
→ Maybe find it. Maybe not.
With CodeMap:
refs.find { symbol_id: "M:MyApp.Services.OrderService.SubmitAsync", kind: "Call" }
→ 220 tokens. Exact file, line, and excerpt for every call site. Done.
That's 93.9% fewer tokens for a task agents do dozens of times per session. On a real production codebase (100k+ lines), savings are 95–99%+.
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What It Does
CodeMap builds a persistent semantic index from your solution file using Roslyn — the same compiler that powers Visual Studio. Supports both .sln (all Visual Studio versions) and .slnx (VS 2022 17.12+ / .NET SDK 9+) solution formats — auto-discovered when solution_path is omitted (prefers .slnx). Short commit SHAs are auto-expanded. The index captures:
- Every symbol (classes, methods, properties, interfaces, records)
- Every call relationship and reference (who calls what, where)
- Type hierarchy (inheritance chains, interface implementations)
- Architectural facts extracted from code: HTTP endpoints, config keys, DB tables, DI registrations, middleware pipeline, retry policies, exception throw points, structured log templates
All of this is exposed via 28 MCP tools that any MCP-compatible AI agent can call. Starting from v1.3, CodeMap also navigates DLL boundaries — lazily resolving NuGet and SDK symbols on first access, with optional ICSharpCode.Decompiler source reconstruction and cross-DLL call graphs.
Supported languages: C#, VB.NET, and F#. Mixed-language solutions (.sln / .slnx containing C#, VB.NET, and F# projects) are indexed in a single pass. All 28 MCP tools work identically for symbols from any language. C# and VB.NET use Roslyn's MSBuildWorkspace; F# uses FSharp.Compiler.Service (MSBuildWorkspace doesn't support .fsproj). F# architectural fact extractors (endpoints, DI, config) are not yet implemented — symbol search, call graphs, references, and type hierarchy all work.
Blazor / Razor (v2.5.0+): .razor components are indexed via the Razor source generator. ComponentBase-derived classes appear in symbols.search. @page routes surface in surfaces.list_endpoints with a PAGE HTTP method. [Inject] and [Parameter] properties emit dedicated RazorInject / RazorParameter facts.
Multi-target projects (v2.5.1+): <TargetFrameworks>net8.0;net9.0;net10.0</TargetFrameworks> previously produced one extraction per TFM (3× duplication). CodeMap now collapses to a single extraction on the highest-ranked TFM, with ProjectDiagnostic.TargetFrameworks listing every TFM in the group. Symbol counts on heavily multi-targeted Blazor libraries drop 60–80%.
Interface-aware graph.callers (v2.6.0+): in DI-dispatched codebases (most production .NET) graph.callers on a concrete method silently under-reported because real call sites resolve through the registered interface. CodeMap now detects interface implementation at query time and surfaces an interface_implementation_hint listing the interface members and an estimated count of additional callers routed through them. Pass follow_interface: true to union those into the result (deduped by from_symbol). No baseline-format change, no re-index required. Handles both implicit and explicit interface implementations.
Indexing perf + correctness (v2.5.2): large reduction in indexing wall-clock by skipping auto-generated trees (.g.cs, .Designer.cs, files with <auto-generated>, paths under obj/), short-circuiting type-position identifier classification (typeof / generic args / base lists / attributes), and parallelizing Pass-2 reference & fact extraction across projects. Validated on a 9-repo Blazor corpus: Blazorise drops from 408 s → 95 s (−77 %), ant-design-blazor from 47 s → 25 s (−47 %), OrchardCore (single-target sentinel) from 131 s → 96 s (−27 %), and a 78-csproj distributed-database project (ByTech.Bedrock) indexes in 27 s with an 11.2× Pass-2 parallel speedup. Five query-correctness bugs also fixed: symbols.search browse-by-kinds now honours namespace / file_path / project_name filters; workspace-mode namespace filter is case-insensitive (matches committed mode); refs.find cache key includes resolution_state; workspace browse-by-kinds now includes overlay-new symbols; codemap.guide's decision table no longer advertises surfaces.list_di_registrations (which was never a registered tool).
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The Transformation
Here's what changes when you give an agent CodeMap:
| Without CodeMap | With CodeMap | |---|---| | grep -rn "OrderService" src/ | symbols.search { query: "OrderService" } | | Read 5 files to understand a method | symbols.get_context — card + source + all callees in one call | | Manually trace call chains across files | graph.trace_feature — full annotated tree, one call | | Hope grep finds the right interface impl | types.hierarchy — base, interfaces, derived types, instant | | Read the whole file to find config usage | surfaces.list_config_keys — every IConfiguration access, indexed | | Diff two commits by reading changed files | index.diff — semantic diff, rename-aware, architectural changes only |
The agent stops reading your codebase and starts understanding it.
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Showpiece: graph.trace_feature
The most powerful tool. Replaces 5–10 manual calls with one:
graph.trace_feature {
"repo_path": "/path/to/repo",
"entry_point": "M:MyApp.Controllers.OrdersController.Create",
"depth": 3
}
Returns an annotated call tree with architectural facts at every node:
OrdersController.Create [POST /api/orders]
→ OrderService.SubmitAsync
→ [Config: App:MaxRetries]
→ [DI: IOrderService → OrderService | Scoped]
→ Repository<Order>.SaveAsync
→ [DB: orders | DbSet<Order>]
→ [Retry: WaitAndRetryAsync(3) | Polly]
One query. Full feature flow. Every config key touched, every table written, every retry policy applied — surfaced automatically from the index.
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Token Savings Benchmark
Measured across 24 canonical agent tasks on a real .NET solution:
| Task | Raw Tokens | CodeMap | Savings | |------|-----------|---------|---------| | Find a class by name | 3,609 | 248 | 93% | | Get method source + facts | 3,609 | 336 | 91% | | Find all callers (refs.find) | 3,609 | 220 | 94% | | Caller chain depth=2 | 3,609 | 287 | 92% | | Type hierarchy | 3,609 | 200 | 94% | | List all HTTP endpoints | 3,609 | 360 | 90% | | List all DB tables | 3,609 | 169 | 95% | | Workspace staleness check | 3,609 | 62 | 98% | | Baseline build (cache hit) | ~30s Roslyn | ~2ms pull | ∞ | | Average | | | 90.4% |
Raw tokens = reading all source files. On production codebases (100k+ lines), savings reach 95–99%+.
Run it yourself: ``bash dotnet test --filter "Category=Benchmark" -v normal ``
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28 Tools Across Six Categories
Discover
| Tool | What it does | |------|-------------| | symbols.search | FTS search by name, kind, namespace, or file path | | code.search_text | Regex/substring search across source files — returns file:line:excerpt | | symbols.get_card | Full symbol metadata + architectural facts + source code | | symbols.get_context | Card + source + all callees with source — deep understanding in one call | | symbols.get_definition_span | Raw source only, no overhead | | code.get_span | Read any source excerpt by line range |
Navigate
| Tool | What it does | |------|-------------| | refs.find | All references to a symbol, classified (Call, Read, Write, Implementation…) | | graph.callers | Depth-limited caller graph — who triggers this? | | graph.callees | Depth-limited callee graph — what does this orchestrate? | | graph.trace_feature | Full annotated feature flow with facts at every node | | types.hierarchy | Base type, interfaces implemented, and all derived types |
Architecture
| Tool | What it does | |------|-------------| | codemap.summarize | Full codebase overview: endpoints, DI, config, DB, middleware, logging | | codemap.export | Portable context dump (markdown/JSON, 3 detail levels) for any LLM | | codemap.guide | Quick-start guide: session setup, decision table, and usage rules for agents | | index.diff | Semantic diff between commits: symbols added/removed/renamed, API changes | | surfaces.list_endpoints | Every HTTP route (controller + minimal API) with handler and file:line | | surfaces.list_config_keys | Every IConfiguration access with usage pattern | | surfaces.list_db_tables | EF Core entities + [Table] attributes + raw SQL table references |
Workspace
| Tool | What it does | |------|-------------| | workspace.create | Isolated overlay for in-progress edits | | workspace.reset | Clear overlay, back to baseline | | workspace.list | All active workspaces with staleness, SemanticLevel, and fact count | | workspace.delete | Remove a workspace | | index.refresh_overlay | Re-index changed files incrementally (~63ms) |
Index Management
| Tool | What it does | |------|-------------| | index.ensure_baseline | Build the semantic index (idempotent, cache-aware, auto-discovers solution) | | index.list_baselines | All cached baselines with size, age, and commit | | index.cleanup | Remove stale baselines (dry-run default) | | index.remove_repo | Remove ALL baselines for a repo (ignores protection rules) |
Repo
| Tool | What it does | |------|-------------| | repo.status | Git state + whether a baseline exists for current HEAD |
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Workspace Mode — See Your Own Edits
CodeMap tracks uncommitted changes via an overlay index. Every agent session gets its own isolated workspace:
1. index.ensure_baseline → index HEAD once
2. workspace.create → agent gets isolated overlay
3. Edit files on disk
4. index.refresh_overlay → re-indexes only changed files (~63ms)
5. Query with workspace_id → results include your in-progress code
Three consistency modes:
- Committed — baseline index only (default, no workspace needed)
- Workspace — baseline + your uncommitted edits merged
- Ephemeral — workspace + virtual file contents (unsaved buffer content)
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Multi-Agent Supervisor Support
Running multiple agents in parallel? CodeMap has you covered:
- Each agent gets its own isolated workspace — no cross-contamination
workspace.listshows every workspace:IsStale,SemanticLevel, fact count- Stale detection fires when a workspace's base commit diverges from HEAD
- Supervisor can inspect, clean up, or re-provision any agent's workspace
---
Self-Healing Under Broken Builds
When a file doesn't compile, CodeMap doesn't drop references. It stores unresolved edges with syntactic hints. When compilation succeeds again (after a fix), a resolution worker automatically upgrades them to fully-resolved semantic edges.
refs.find returns both. Filter with resolution_state: "resolved" if you need certainty.
---
DLL Boundary Navigation
CodeMap resolves DLL symbols lazily on first agent access — NOT_FOUND at a DLL boundary triggers automatic extraction rather than a dead end.
Two levels, both permanent (cached in baseline DB):
| Level | Trigger | What you get | Cost | |-------|---------|--------------|------| | 1 — Metadata stub | Any NOT_FOUND query | Method signatures, XML docs, type hierarchy | ~1–5ms (once) | | 2 — Decompiled source | symbols.get_card with include_code: true | Full reconstructed C# source via ICSharpCode.Decompiler | ~10–200ms (once) |
After Level 2, cross-DLL call graph edges are extracted so graph.callees and graph.trace_feature traverse INTO and THROUGH DLL code seamlessly.
source discriminator in symbols.get_card response:
"source_code"— symbol is from your own source"metadata_stub"— Level 1 only (decompilation unavailable)"decompiled"— Level 2 source reconstructed and ready
graph.trace_feature applies a max_lazy_resolutions_per_query budget (default 20) when encountering previously-unseen DLL types to bound decompilation latency.
---
Shared Baseline Cache
Index once, reuse everywhere — across machines, CI, Docker containers:
export CODEMAP_CACHE_DIR=/shared/codemap-cache
index.ensure_baselinepulls from cache first (~2ms vs ~30s Roslyn build)- Auto-push after every new baseline build
- Self-healing: corrupt cache entries are detected and overwritten
- Zero config when
CODEMAP_CACHE_DIRis unset — all cache ops are no-ops
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v2 Storage Engine — 10x Faster Queries
v2.0.0 replaces SQLite with a custom binary storage engine using memory-mapped segment files. The Roslyn extraction pipeline is unchanged — only the on-disk format is new.
Query speedup (measured across 15 query types on real repos):
| Query | v1 (SQLite) | v2 (mmap) | Speedup | |-------|------------|-----------|---------| | graph.trace_feature | 13.2ms | 0.5ms | 26x | | codemap.summarize | 18.9ms | 0.9ms | 21x | | surfaces.list_db_tables | 5.7ms | 0.2ms | 28x | | surfaces.list_config_keys | 3.6ms | 0.2ms | 18x | | types.hierarchy | 8.7ms | 1.0ms | 9x | | symbols.get_context | 28.7ms | 5.3ms | 5x | | symbols.get_card | 7.8ms | 2.7ms | 3x |
Indexing speedup (Roslyn compilation dominates, but I/O is faster):
| Repo | v1 | v2 | Speedup | |------|-----|-----|---------| | eShopOnWeb (278 files) | 16.2s | 5.8s | 2.8x | | Bitwarden (4,466 files) | ~170s | ~110s | 1.5x | | dotnet/roslyn (18,799 files) | 138.2s | 96.8s | 1.4x |
What changed:
- Baselines stored as contiguous packed binary segments (symbols, edges, files, facts) with mmap reads — no SQL parsing overhead
- Custom search index with tokenized FTS (CamelCase splitting, signature/documentation indexing)
- WAL-backed overlay for workspace mutations (same isolation model)
- Zero native DLL dependencies (no
e_sqlite3.dll)
Validated on 9+ repos including dotnet/roslyn (174K symbols, 768K references), dotnet/fsharp (157K symbols via FCS), and Bitwarden. Zero functional bugs. See docs/ENGINE-COMPARISON-RESULTS.MD for full data.
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Self-Hosting Validated
CodeMap indexes its own 18-project solution (5,576 symbols, 20,960 references). All 28 tools verified against real-world architectural complexity. Self-hosting exposed and fixed cross-project reference bugs, CamelCase FTS edge cases, overlay StringId resolution issues, and multi-line SQL extraction gaps. Every tool in this README was tested against the codebase that implements it.
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Installation
.NET Global Tool — NuGet (recommended)
See the Install via Claude Code or manually section at the top for the one-paste Claude Code prompt and manual steps.
NuGet package: nuget.org/packages/codemap-mcp
Docker
docker build -t codemap-mcp .
docker run -i \
-v /path/to/your/repo:/repo:ro \
-v /path/to/cache:/cache \
codemap-mcp
-iis required — MCP uses stdio transport. Without it the container gets immediate EOF.
Uses the .NET SDK base image (~800MB) because MSBuildWorkspace needs MSBuild at runtime for index.ensure_baseline. Mount a cache volume (-v /path/to/cache:/cache) to avoid rebuilding the index on every container start.
---
Connect to Your AI Agent
Claude Code (Claude Desktop / claude.ai)
Add to claude_desktop_config.json:
{
"mcpServers": {
"codemap": {
"command": "codemap-mcp"
}
}
}
Any MCP-Compatible Client
CodeMap speaks standard MCP over stdin/stdout (JSON-RPC 2.0). Any MCP client works.
CLAUDE.md Integration
Drop the instruction block from docs/CLAUDE-INSERT.MD into your project's CLAUDE.md to wire up automatic CodeMap usage for any Claude agent working on that project. The block includes the session startup sequence, a tool substitution decision table, and the "refresh before grep" rule that keeps agents in semantic mode.
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Tip: Write XML Docs — CodeMap Uses Them
CodeMap indexes /// <summary> XML doc comments on all classes, methods, and interfaces. They appear in symbols.get_card, symbols.get_context, and symbols.search results — giving agents intent and context without reading implementations.
When writing C# code with CodeMap enabled, always add XML doc comments. This isn't just style — it directly improves every downstream query. Agents using graph.trace_feature see annotated call trees that read like specs. codemap.export includes docs in the portable context for other LLMs.
See docs/CODEMAP-AGENT-GUIDE.MD for the full agent workflow guide.
---
Architecture
Your Git repo CodeMap Server
│ │
│ repo_path │
├─────────────────────────►│ GitService (repo identity, HEAD SHA)
│ │ │
│ solution.sln/.slnx │ ▼
├─────────────────────────►│ RoslynCompiler (MSBuildWorkspace for C#/VB, FCS for F#)
│ │ │
│ │ ▼
│ │ Extractors (Symbols + Refs + TypeRelations + Facts)
│ │ │
│ │ ▼
│ │ CustomSymbolStore (v2 binary segments, mmap'd)
│ │ │ ↕
│ │ │ SharedCache (file-based, optional)
│ │ ▼
│ your uncommitted edits │ ▼
├─────────────────────────►│ OverlayStore (WAL-backed incremental overlay)
│ │ │
│ │ ▼
│ │ MergedQueryEngine (baseline + overlay, transparent merge)
│ │ │
│ MCP tool call │ ▼
├─────────────────────────►│ McpServer (stdio JSON-RPC 2.0, 28 tools)
│ │ │
│ JSON response │ ▼
│◄─────────────────────────│ ResponseEnvelope (answer + evidence + timing + token savings)
Layer dependencies (enforced at build time — violations are build errors):
CodeMap.Core ← zero dependencies (domain types + interfaces)
CodeMap.Git ← Core (LibGit2Sharp)
CodeMap.Roslyn ← Core (Roslyn 5.x + MSBuildWorkspace)
CodeMap.Storage.Engine ← Core (v2 binary segments, sole engine since v2.1.0)
CodeMap.Query ← Core + Storage.Engine (query engine + cache + overlay merge)
CodeMap.Mcp ← Core + Query (MCP tool handlers)
CodeMap.Daemon ← ALL (DI composition root, the executable)
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Observability
Every response includes:
- Per-phase timing —
cache_lookup_ms,db_query_ms,ranking_ms(sub-millisecond on v2) - Token savings — tokens saved and cost avoided vs raw file reading
- Semantic level —
Full/Partial/SyntaxOnly(index quality signal) - Overlay revision — which workspace revision answered the query
- Workspace ID — which workspace context answered (null for committed mode)
Structured logs to ~/.codemap/logs/codemap-{date}.log (daily rotation, JSON lines). Cumulative savings to ~/.codemap/_savings.json (persists across restarts). Config at ~/.codemap/config.json (log level, cache dir, budget overrides).
v2 Data Directory
Baselines are stored in ~/.codemap/store/<repoId>/baselines/<commitSha>/ as binary segment files. Overlays in ~/.codemap/store/overlays/<workspaceId>/. Use index.list_baselines to inspect and index.cleanup to reclaim space.
---
Known Limitations & Coverage Gaps
CodeMap won't surface a hit in every situation a grep would. The most common reasons are documented in docs/KNOWN-LIMITATIONS.md. Top items to be aware of:
- Multi-target conditional symbols.
#if NET8_0-only types are
invisible — extraction runs on the highest TFM only (L-01).
- Legacy MVC
MapControllerRoute— convention-routed actions don't
surface in surfaces.list_endpoints. Only attribute routing, minimal API, and Blazor @page are extracted (L-02).
- F# fact extractors not yet wired — F# gets symbols/refs/hierarchy
only; endpoints / DI / config / DB tables don't extract from .fsproj yet (L-05).
- Fresh clone with no build — Razor source-generator output may be
invisible until you dotnet build once (L-08).
When symbols.search returns nothing for code you can see in the editor, scan KNOWN-LIMITATIONS first before falling back to grep.
---
Documentation
| Doc | What's in it | |-----|-------------| | docs/CLAUDE-INSERT.MD | Copy-paste block for CLAUDE.md — wires up agent to use CodeMap | | docs/CODEMAP-AGENT-GUIDE.MD | Full agent operating guide: startup, refresh, query patterns, common mistakes | | docs/KNOWN-LIMITATIONS.md | Coverage gaps and intentional non-features — what grep finds that CodeMap doesn't | | docs/DEVELOPER-GUIDE.MD | How to add tools, extractors, storage methods | | docs/ARCHITECTURE-WALKTHROUGH.MD | Request traces, data model, decision log | | docs/API-SCHEMA.MD | Every type definition and MCP tool contract | | docs/SYSTEM-ARCHITECTURE.MD | Component design, DB schema, query model |
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Build & Test
# Build (zero warnings enforced)
dotnet build -warnaserror
# Fast unit tests
dotnet test --filter "Category!=Integration&Category!=Benchmark"
# Integration tests (requires MSBuild)
dotnet test --filter "Category=Integration"
# Token savings benchmark
dotnet test --filter "Category=Benchmark" -v normal
# Performance microbenchmarks (BenchmarkDotNet)
cd tests/CodeMap.Benchmarks && dotnet run -c Release
---
Performance Reference
What to expect when running CodeMap on your codebase. All v2 engine numbers (default since v2.0.0).
Indexing time by repo size
| Repo | Files | Symbols | Refs | Index time | |------|-------|---------|------|-----------| | CodeMap (self-hosted) | 585 | 6,800 | 29,200 | ~24s | | eShopOnWeb | 278 | — | — | ~6s | | dotnet/fsharp | 994 | 157,000 | 58,000 | ~131s | | Bitwarden | 4,466 | — | — | ~110s | | dotnet/roslyn | 18,799 | 174,000 | 768,000 | ~97s |
Subsequent runs on the same commit return immediately (already_existed: true). Incremental overlay refresh (after editing files) takes ~63ms.
Query response time (v2 engine)
| Query | Cold (first hit, no L1 cache) | Warm (L1 cache) | |-------|------------------------------|-----------------| | symbols.search | 1–10ms | <1ms | | symbols.get_card | 2–10ms | <1ms | | symbols.get_context | 5–30ms | 1–5ms | | refs.find | 5–20ms | <1ms | | graph.callers / callees | 10–50ms | 1–5ms | | graph.trace_feature | 10–100ms | 1–10ms | | types.hierarchy | 1–5ms | <1ms | | codemap.summarize | 50–200ms | 5–20ms | | surfaces.list_* | 1–10ms | <1ms | | index.diff | 100–500ms | — |
Cold times scale with repo size (more symbols = more BFS/join work). Warm times are nearly flat across all repo sizes — L1 cache caps at 10,000 entries with LRU eviction.
Memory footprint (v2 engine)
| Repo size | Baseline on disk | Resident memory (mmap) | |-----------|-----------------|----------------------| | Small (<1K symbols) | ~1–5 MB | ~5–20 MB | | Medium (10K symbols) | ~20–50 MB | ~30–80 MB | | Large (100K+ symbols) | ~200–500 MB | ~300–600 MB |
mmap pages are demand-loaded by the OS — resident memory stays proportional to queries made, not total index size.
---
28 MCP tools. 90%+ token savings. Roslyn-grade semantics. C#, VB.NET, F#, Blazor/Razor. DLL boundary navigation. .sln + .slnx auto-discovery. v2.5.1 — multi-target compilation collapse (one extraction per .csproj, not per TFM), KNOWN-LIMITATIONS register surfaced via codemap.guide. Validated on dotnet/roslyn (174K symbols), dotnet/fsharp (157K symbols), and a 9-repo Blazor corpus including Blazorise, MudBlazor, ant-design-blazor, OrchardCore. Your agent deserves better than grep.






