Wisegit

io.github.Sandip124Published by GitHub account Sandip124v0.1.1Updated Nov 3, 2026

Extracts decision intent from git history and protects intentional code from AI modification.

VerifiedSTDIODesktop onlyKnowledge & MemoryDeveloper Tools

Overview

AI-generated overview

Local MCP server that mines git history for decision intent and gives an assistant freeze scores so it respects intentional code before editing.

What you can do
  • Inspect a file's decision manifest with freeze scores, intent history, recovery levels and override status
  • Look up a single function's score and signal breakdown, or its full chronological decision timeline
  • Search past decisions by keyword and find existing functions that solve a similar problem
  • Predict which functions break if one is modified, and read coding conventions for a file's neighborhood
  • Surface theory gaps and branch merge history, and record overrides for frozen functions
  • Extract intent for low-signal commits using the host model
When to use it
Useful on long-lived or legacy repositories where past fixes, workarounds and deliberate design choices are easy for an AI agent to mistake for dead code. Best when you want an assistant to check what was intentional before refactoring or "finding bugs".
Requirements
Runs locally as a stdio process via npx, requiring Node.js 20 or newer. Setup indexes the repository's git history and writes a local SQLite database plus project config files. Optional issue enrichment needs a GitHub or GitLab token; optional local model extraction needs an Ollama instance.
Before you install
Setup writes files into the repository, including MCP and agent rule files, and adds one to gitignore. Overrides and enrichment data are stored in a git-tracked directory, so they are shared with the team. Optional enrichment sends issue references to GitHub or GitLab and needs a token such as GITHUB_TOKEN or GITLAB_TOKEN. Freeze scores are heuristics, not proof that code must not change.

Installation

In SourceWeft

  1. Open Wisegit in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

wisegit

[npm] [MCP Registry] [License: MIT]

"Don't take a fence down until you know the reason it was put up." — G.K. Chesterton

wisegit is a local MCP server that extracts decision intent from git history and protects intentional code from AI modification.

When Claude Code (or any MCP-compatible agent) is about to edit a file, wisegit injects a decision manifest showing which functions are frozen, stable, or open — so the AI respects what was intentional, not just what compiles.

Zero config. Zero external services. Everything local.

Install

bash
# Set up any repo (one command)npx @sandip124/wisegit setup
# Or add as MCP server globallyclaude mcp add wisegit -- npx @sandip124/wisegit serve

Published on

The Problem

LLMs have no concept of intentional code. A manually-tested fix and a broken stub look identical — both are just text. Real scenario:

  1. You fix a Stripe race condition with sleep(350) — manually tested, committed.
  2. Next session: "find bugs." Claude removes sleep(350) — looks like dead code.
  3. Production incident.

Root cause: git history contains proof of intention. Nobody extracts it.

How It Works

Git History → Tree-sitter AST → Intent Extraction → SQLite Event Store → MCP Tools
  1. Indexes your git history — walks every commit, parses diffs at the AST level (function boundaries, not line counts)
  2. Classifies commits — STRUCTURED (fix:, feat:), DESCRIPTIVE (plain sentences), or NOISE (wip, x)
  3. Extracts intent — rule-based for structured/descriptive commits, LLM for noise (Phase 2)
  4. Computes freeze scores — 0–1 per function, derived from protection signals (git, issue, code structure, test, structural, Naur, Aranda) minus adaptive obsolescence penalty (8 signals, entropy-calibrated). Age uses Weibull survival [18]; expertise uses DOE model [19]
  5. Serves decision manifests via MCP — Claude Code calls get_file_decisions before editing any file

What the AI Sees

[DECISION MANIFEST: payment.service.cs]━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━FROZEN:  ProcessPayment()  [score: 0.89] [Recovery: L1]  - sleep(350) → Stripe race condition. Won't Fix.    HIGH — commit a3f19b2
STABLE:  ValidateOrder()  [score: 0.55] [Recovery: L2]  - Fixed null reference on Safari iOS WebKit.    MEDIUM — commit 7c14694
OPEN:    FormatReceipt()  [score: 0.12] [Recovery: L3]  ← safe to modify━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  • FROZEN (score >= 0.80): Do not modify without explicit user approval
  • STABLE (score 0.50-0.79): Proceed with caution, review intent first
  • OPEN (score < 0.50): Safe to modify freely

Quick Start

Prerequisites

  • Node.js >= 20

That's it. No Docker, no PostgreSQL, no external services.

1. Set Up a Repository (one command)

bash
cd /path/to/your/reponpx @sandip124/wisegit setup

This single command:

  • Creates a local SQLite database at ~/.wisegit/wisegit.db
  • Indexes your entire git history (462 commits in ~13 seconds)
  • Creates .mcp.json for Claude Code auto-discovery
  • Creates CLAUDE.md rules that instruct AI to check before editing
  • Adds .mcp.json to .gitignore

2. Enrich with Issue Context (optional)

bash
# Fetch issue/PR details from GitHub/GitLabGITHUB_TOKEN=ghp_... npx @sandip124/wisegit enrich

This fetches referenced issues (e.g., #134 in commit messages), detects Won't Fix / By Design decisions, and boosts freeze scores for functions linked to those issues.

3. Done

Open the repo in Claude Code. It will automatically:

  1. Start the wisegit MCP server (via .mcp.json)
  2. Read the protection rules (via CLAUDE.md)
  3. Call get_file_decisions before editing any file

MCP Tools

ToolDescription
get_file_decisionsDecision manifest for a file — freeze scores, intent history, recovery levels, override status
get_freeze_scoreScore + signal breakdown for a specific function
get_function_historyFull chronological decision timeline for a function
get_theory_gapsFunctions with unrecoverable rationale (inactive authors, timeline gaps)
get_branch_contextBranch merge history — what was migrated and why
search_decisionsSearch past decisions by keyword across the entire repo
create_overrideOverride a frozen function (user approves in Claude Code UI)
extract_intentExtract intent for NOISE commits using the host LLM — no Ollama needed
find_similar_functionsSearch for existing functions that solve a similar problem before writing new code
predict_impactPredict what functions will break if a given function is modified
get_codebase_conventionsExtract coding conventions for a file's neighborhood

MCP Resource: wisegit://manifest/{filePath} — decision manifest as auto-discoverable resource

MCP Prompt: check_before_edit — mandatory workflow prompt that returns the decision manifest before editing any file

LLM Intent Extraction Strategy

wisegit uses a smart fallback chain for extracting intent from NOISE commits:

ContextLLM UsedHow
Inside Claude CodeHost LLM (Claude)MCP sampling — asks Claude to analyze the diff. Zero setup.
CLI with OllamaOllama (llama3)wisegit init --ollama — uses local Ollama instance
CLI without OllamaNoneRule-based extraction only, NOISE commits get no intent

Inside Claude Code, call extract_intent to retroactively recover intent for NOISE commits — uses Claude itself, no Ollama installation needed.

CLI Commands

bash
wisegit setup [--path <dir>] [--global]         # One-command repo setupwisegit init [--full-history] [--path <dir>]     # Index git historywisegit enrich [--path <dir>]                    # Fetch issue/PR context from GitHub/GitLabwisegit audit <file>                             # Show decision manifestwisegit history <target> [--file <path>]         # Show decision timelinewisegit recompute [--path <dir>]                  # Recompute scores with PageRank + theory gapswisegit override <fn> --file <f> --reason "..."  # Override a frozen functionwisegit overrides                                # List active overrideswisegit sync                                     # Rebuild local cache from git + .wisegit/wisegit config list                              # View team configurationwisegit config set <key> <value>                 # Modify team policywisegit team-status                              # Team overview: enrichments, overrides, contributorswisegit team-health                              # Theory health: healthy/fragile/critical functionswisegit branch-capture                           # Capture branch context from last mergewisegit branch-list                              # List all captured branch snapshotswisegit branch-recover <sha>                     # Recover context from old merge commitwisegit calibrate                                # Show adaptive obsolescence weights vs defaultswisegit report [--output <file>]                 # Generate HTML report with scores + insightswisegit serve                                    # Start MCP server (stdio)wisegit hook install|uninstall                   # Manage git hooks (post-commit + post-merge)

Configure for Claude Code

Option A: Per-repo (recommended)

Run npx @sandip124/wisegit setup in any repo. It creates .mcp.json automatically.

Option B: Global registration

bash
claude mcp add wisegit -- npx @sandip124/wisegit serve

Option C: Manual .mcp.json

Create .mcp.json in your repo root:

json
{  "wisegit": {    "command": "npx",    "args": ["@sandip124/wisegit", "serve"]  }}

Supported Languages

LanguageExtensions
C#.cs
TypeScript.ts, .tsx
JavaScript.js, .jsx, .mjs, .cjs
Python.py
Go.go
Rust.rs

More languages can be added via Tree-sitter grammar configs in src/ast/languages/.

Issue Enrichment

A commit saying fix: handle null token #134 points to an issue containing reproduction steps, root cause, and explicit decision rationale — everything the commit message never says.

bash
# Fetch issue context from GitHub/GitLabwisegit enrich --path /path/to/repo
# With auth (5000 req/hr instead of 60)GITHUB_TOKEN=ghp_... wisegit enrich

Supported platforms: GitHub, GitLab (Azure DevOps, Jira, Bitbucket planned)

Auth tokens: GITHUB_TOKEN / GH_TOKEN for GitHub, GITLAB_TOKEN for GitLab. Never stored by wisegit.

Issue-derived freeze signals

SignalFreeze BoostWhen
Won't Fix / By Design+0.35Issue closed as not_planned, or has wontfix/by-design label, or comment says "intentional"
Reproduction steps+0.15Issue body contains "steps to reproduce"
Platform-specific label+0.10Issue labeled ios, safari, windows, etc.
Issue unreachable+0.10Issue ref exists but API returned 404 — absent context = protect more
PR review comments+0.15Linked PR had reviewer discussion

Freeze Score Signals

The freeze score is never stored directly — it's derived by replaying the event stream for each function. Signal categories:

CategoryWeightSource
Git History0.20Reverts, verified keywords, incident refs, contributor count, Weibull age [18]
Issue Enrichment0.20Won't Fix/By Design, reproduction steps, platform labels
Code Structure0.15Inline comments, magic numbers, defensive patterns
Test Signals0.15Dedicated tests, edge case labels, co-committed tests
Structural Importance0.15Call count (PageRank), public API, DOE expertise model [19]
Naur Theory0.10Global patterns, intentional contradictions, removal cost
Aranda Signals0.05Forgotten patterns, timeline gaps, broken issue links
Obsolescence (8 signals)adaptiveDead code, stale subgraph, migration leftover, obsolete deps, superseded, SAAD, change burst absence, co-change divergence

Freeze score formula:

freeze_score = base_score x (1 - obsolescence_penalty)

Protection signals produce the base score (weighted average of present signal categories, not additive sum); obsolescence signals produce the penalty. Obsolescence weights are adaptive — calibrated per-repository using Shannon entropy and Bayesian feedback. Falls back to hardcoded defaults when < 20 functions have signals. Age signal uses Weibull survival model [18] (k=0.7, lambda=2.4y); contributor expertise uses DOE model [19] (4 variables: contribution share, recency, duration, frequency).

Academic grounding: 24 published papers. See REFERENCE.md for full citations.

Cross-Repo Validation

Tested on 3 real-world open-source codebases:

RepoCommitsFunctionsFROZENSTABLEMax Score
pallets/flask5,5654,355722,2720.927
expressjs/express6,38240912470.811
zeeguu/api4,5153,2161120.583

Flask's core APIs (__init__, run, wsgi_app, url_for) correctly scored FROZEN (0.87+). Express routing primitives (paramCallback, Route, Router) correctly scored FROZEN/STABLE. Scores adapt to each codebase's history rather than producing uniform distributions.

See REFERENCE.md for detailed validation findings and implementation changes.

Legacy Codebase Evolution

wisegit is designed for codebases that have accumulated years of intentional decisions. The freeze score doesn't mean "never change this" — it means "understand these decisions before you change it."

Progressive migration, not shiny rewrites. Per Távora [12]: the business rules in messy code are correct and valuable. The technical debt is in the structure, not the decisions. wisegit protects the decisions while you fix the structure.

StageHow wisegit helps
Understand AS-ISwisegit audit shows what's intentional. wisegit team-health shows where institutional knowledge is lost.
Protect during refactoringManifests tell developers + AI which behaviors were deliberately chosen
Record rationaleOverride reasons persist in .wisegit/overrides.jsonl — not buried in Slack
Preserve migration contextBranch snapshots record what was replaced and what should never return
Track cross-boundary depsCo-change signals detect coupling between legacy and replacement code

See REFERENCE.md for the full legacy evolution section with academic grounding (24 published papers).

Team Support

wisegit uses a three-layer architecture — no separate "team mode" needed:

LayerWhatShared?
Deterministic baseCommit classification, rule-based intent, git signalsVia git (automatic)
Team knowledgeEnrichments, overrides, intents, branch contextsVia .wisegit/ (git-tracked)
Local cacheSQLite at ~/.wisegit/wisegit.dbNever (derived)
.wisegit/                      # Tracked by git — shared with team├── config.json                # Team policy (thresholds, AI authors)├── enrichments.jsonl          # Issue enrichment cache├── overrides.jsonl            # Override audit trail└── branch-contexts.jsonl      # Branch merge snapshots

JSONL format — one JSON object per line. Concurrent appends produce no git merge conflicts.

After a teammate pushes .wisegit/ changes, run wisegit sync to import them into your local cache.

See TEAM-ROADMAP.md for the full team architecture design.

Architecture

┌─────────────────────────────────────────────────┐│  Claude Code / MCP Client                       ││  ┌───────────────────────────────────────────┐  ││  │ 1. Reads CLAUDE.md protection rules       │  ││  │ 2. Calls get_file_decisions before edits  │  ││  │ 3. Respects FROZEN / STABLE / OPEN        │  ││  └───────────────────────────────────────────┘  │└─────────────────┬───────────────────────────────┘                  │ MCP (stdio)┌─────────────────▼───────────────────────────────┐│  wisegit MCP Server                             ││  ┌──────────┐ ┌──────────┐ ┌─────────────────┐ ││  │get_file_ │ │get_freeze│ │search_decisions │ ││  │decisions │ │_score    │ │                 │ ││  └────┬─────┘ └────┬─────┘ └───────┬─────────┘ │└───────┼─────────────┼───────────────┼───────────┘        │             │               │┌───────▼─────────────▼───────────────▼───────────┐│  SQLite (~/.wisegit/wisegit.db)                 ││  ┌──────────────┐ ┌────────────┐ ┌───────────┐ ││  │decision_events│ │freeze_scores│ │issue_     │ ││  │(append-only) │ │(derived)   │ │enrichments│ ││  └──────────────┘ └────────────┘ └─────┬─────┘ │└────────────────────────────────────────┼────────┘                                         │┌────────────────────────────────────────▼────────┐│  Issue Enrichment (wisegit enrich)              ││  ┌─────────┐ ┌─────────┐ ┌──────────────────┐  ││  │ GitHub  │ │ GitLab  │ │ Jira (planned)   │  ││  │ REST API│ │ REST API│ │                  │  ││  └─────────┘ └─────────┘ └──────────────────┘  │└─────────────────────────────────────────────────┘

Environment Variables

VariableDefaultDescription
WISEGIT_DB_PATH~/.wisegit/wisegit.dbSQLite database path
GITHUB_TOKEN / GH_TOKEN—GitHub API token (5000 req/hr vs 60 unauthenticated)
GITLAB_TOKEN—GitLab API token for issue enrichment
OLLAMA_URLhttp://localhost:11434Ollama server URL (Phase 2)
OLLAMA_CHAT_MODELllama3Model for intent extraction (Phase 2)
OLLAMA_EMBED_MODELnomic-embed-textModel for embeddings (Phase 2)

Security

  • Everything runs locally — only issue enrichment makes outbound API calls (opt-in via wisegit enrich)
  • Append-only event store — decisions are never deleted, only added
  • SQLite database stored at ~/.wisegit/wisegit.db — no network exposure
  • MCP tool inputs validated with strict Zod schemas (path traversal protection, length limits)
  • Error messages sanitized before returning to MCP clients
  • File writes check for symlinks before writing
  • Config files parsed with allowlisted keys only (no prototype pollution)

Roadmap

  • Phase 1 — Event store, AST chunking, commit classification, intent extraction, MCP server, CLI
  • Phase 1.5 — Issue enrichment (GitHub, GitLab) with Won't Fix/By Design detection, freeze boost signals
  • Phase 2 — Full freeze score: call graph + PageRank, theory gap detection (Naur death, forgotten patterns), co-change signals, Aranda signals, Ollama client, Go + Rust support
  • Phase 4 — Override system (mandatory reason, time-boxed expiry, audit trail), branch context preservation (post-merge hook, snapshot storage, recovery)
  • Phase A — Shared team knowledge layer: .wisegit/ directory with JSONL files for enrichments, overrides, branch contexts, and team config
  • Phase B — Team-aware manifests: theory holder tracking, risk levels (healthy/fragile/critical), team status + health commands
  • Phase C — AI-era adaptations: commit origin detection (HUMAN/AI_REVIEWED/AI_UNREVIEWED), origin-weighted freeze scores
  • Phase D — Override approval workflow, team health metrics
  • Phase E — Adaptive obsolescence calibration: 8 obsolescence signals, entropy-calibrated weights, Bayesian feedback, wisegit calibrate CLI

License

MIT

Source: README.md at commit 75fab44

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.1LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts