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wisdom-store

Provides AI coding assistants with persistent memory, AST-based project indexing, and tools for live context management and hallucination detection. It enables saving lessons to local files, trimming conversation history, and verifying code symbols to prevent errors.

glama
Updated
Mar 8, 2026

wisdom-store

An MCP server that gives AI coding assistants persistent memory, context control, and anti-hallucination tools.

Early release — actively developed, APIs may change. Expect rough edges.

What it does

Context control — Trim conversation context live (no restart needed), inject curated knowledge into sessions, monitor context usage.

Persistent knowledge — Save lessons, patterns, cautions, and edge cases to flat files that survive across sessions. Organize by project section, file, or globally.

Project indexing — AST-based symbol extraction (via @ast-grep/napi), API route detection, HTML page inventory. Produces a compact project overview designed to give Claude a detailed map of your project for a fraction of your context window.

Anti-hallucination — Symbol registry with fuzzy matching catches hallucinated function names, typos, and unknown symbols. Includes a post-write hook that automatically warns about hallucinated imports, file paths, function calls, and API routes after every edit.

Tools (11)

Context Control

ToolDescription
context_statusCheck context usage — message count, estimated tokens, bloat indicators
prune_contextTrim old messages live. Modes: oldest_percent, before_message, after_phrase
inject_contextInsert curated context as a new conversation root. Requires /resume to reload

Persistent Knowledge

ToolDescription
save_wisdomPersist lessons, patterns, cautions, edge cases, or decisions to .wisdom/ files
get_wisdomLoad wisdom for a file, section, or keyword. Call with no args for project overview
update_planDocument feature plans with files, decisions, and status
list_wisdomBrowse what wisdom exists — sections, plans, patterns, sidecars

Project Index

ToolDescription
reindex_projectScan project, extract symbols via AST, save to .wisdom/symbols.json
get_project_overviewCompact project map — file tree, symbols, API routes, HTML pages. Always fresh

Anti-Hallucination

ToolDescription
check_symbolsCross-reference symbols against registry. Reports: confirmed, fuzzy match (typo?), or unknown (hallucinated?)
refresh_symbolsRe-scan and update the symbol registry

Install

git clone https://github.com/InfiniQuest-App/wisdom-store.git
cd wisdom-store
npm install

Add to your ~/.claude.json or project .mcp.json (see examples/mcp.json):

{
  "mcpServers": {
    "wisdom-store": {
      "command": "node",
      "args": ["/path/to/wisdom-store/src/mcp-server/index.js"],
      "env": {}
    }
  }
}

Restart Claude Code or run /mcp to connect.

Teaching Claude to use it

Copy the relevant sections from examples/CLAUDE.md into your project's CLAUDE.md. This teaches Claude when to load wisdom, save knowledge, check symbols, and manage context.

Hooks

The hooks/ directory contains Claude Code hooks that integrate with wisdom-store automatically.

Add to your settings file — ~/.claude/settings.json (global), .claude/settings.json (project), or .claude/settings.local.json (personal per-project). Replace /path/to/wisdom-store with your actual clone path.

Post-Write Hallucination Check

Automatically checks for hallucinations after every Write/Edit:

  • Import paths pointing to files that don't exist
  • Imported symbols not in the project registry
  • Standalone function calls to unknown symbols
  • API routes not found in the project index

Requires .wisdom/symbols.json — run get_project_overview once to generate it (auto-refreshes on each call). Only fires for code files (.js, .ts, .py, .go, .rs).

Pre-Compact Save Reminder

Reminds Claude to save important findings to wisdom-store before context gets compacted. Fires on both manual (/compact) and automatic compaction. Only fires in projects with a .wisdom/ directory.

Setup

{
  "hooks": {
    "PostToolUse": [
      {
        "matcher": "Edit",
        "hooks": [{
          "type": "command",
          "command": "/path/to/wisdom-store/hooks/post-write-symbol-check.sh",
          "timeout": 10
        }]
      },
      {
        "matcher": "Write",
        "hooks": [{
          "type": "command",
          "command": "/path/to/wisdom-store/hooks/post-write-symbol-check.sh",
          "timeout": 10
        }]
      }
    ],
    "PreCompact": [
      {
        "matcher": "",
        "hooks": [{
          "type": "command",
          "command": "/path/to/wisdom-store/hooks/pre-compact-save-reminder.sh",
          "timeout": 10
        }]
      }
    ]
  }
}

How it works

Storage

Everything is flat files in a .wisdom/ directory at your project root:

.wisdom/
  index.json           # Project metadata + file list
  symbols.json         # Symbol registry (functions, classes, exports, routes)
  sections/            # Knowledge organized by topic
    auth.md
    estimates.md
  plans/               # Feature plans
    v2-migration.md
  patterns/            # Reusable patterns
    error-handling.md

Wisdom is stored at three levels:

  • Project.wisdom/sections/, .wisdom/plans/, .wisdom/patterns/ for knowledge about this project
  • File-specific — Sidecar files next to source: myfile.js gets myfile.js.wisdom
  • Global~/.claude/wisdom/ for cross-project lessons (use scope: "global" with save_wisdom)

Context manipulation

prune_context works by setting parentUuid: null on a target message in the JSONL conversation file, orphaning everything before it. This takes effect live on the next message — no restart needed.

inject_context appends a new message with parentUuid: null as a fresh root. Requires /resume to reload. A helper script (hooks/send-resume.sh) is included as a starting point for tmux automation, but manual /resume is the most reliable approach.

AST extraction

Uses @ast-grep/napi (tree-sitter based) for JavaScript/TypeScript/TSX. Extracts functions, classes, variables, exports, interfaces, types, enums. Regex fallback for Python, Go, and Rust.

The project overview is designed to be context-efficient — compact enough to fit in a single tool response while covering file tree, symbols, routes, and pages.

Example output

Running get_project_overview on this repo:

# Project Overview

## Files (16)
Total: 3,093 lines

- hooks/: symbol-check.mjs (273L)
- src/mcp-server/: index.js (371L)
- src/mcp-server/lib/: indexer.js (643L), jsonl.js (276L), wisdom.js (325L)
- src/mcp-server/tools/: check-symbols.js (87L), context-status.js (123L),
    get-project-overview.js (58L), get-wisdom.js (179L), inject-context.js (177L),
    list-wisdom.js (144L), prune-context.js (125L), refresh-symbols.js (15L),
    reindex-project.js (92L), save-wisdom.js (106L), update-plan.js (99L)

## Symbols
Functions: 62, Classes/Types: 0, Exports: 40

### Exports
- appendLine — src/mcp-server/lib/jsonl.js:273
- checkSymbols — src/mcp-server/lib/indexer.js:543
- findConversationFile — src/mcp-server/lib/jsonl.js:30
- generateOverview — src/mcp-server/lib/indexer.js:450
- handleCheckSymbols — src/mcp-server/tools/check-symbols.js:24
- handlePruneContext — src/mcp-server/tools/prune-context.js:23
- scanProject — src/mcp-server/lib/indexer.js:50
- walkChain — src/mcp-server/lib/jsonl.js:160
  ... (40 exports total)

Typical workflow

1. Start working on a task
2. get_project_overview → understand the codebase
3. get_wisdom for relevant files/sections → load past knowledge
4. Work on the task
5. save_wisdom to persist new insights
6. check_symbols after writing code → catch hallucinations
7. If context gets large: save_wisdom → prune_context → continue

Language support

LanguageAST extractionRegex fallback
JavaScript (.js, .mjs, .cjs, .jsx)Full-
TypeScript (.ts, .tsx)Full-
Python (.py)-Functions, classes, methods
Go (.go)-Functions, types, variables
Rust (.rs)-Functions, structs, enums, traits
HTML (.html)-Page titles, structure

Requirements

  • Node.js 18+
  • Claude Code (for MCP integration and hooks)

License

MIT

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