
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.
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.
Installation
In SourceWeft
- Open Wisegit in the dashboard and add it to a workspace.
- 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
Published on
- npm: @sandip124/wisegit
- MCP Registry: io.github.Sandip124/wisegit
- GitHub: Sandip124/wisegit
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:
- You fix a Stripe race condition with
sleep(350)— manually tested, committed. - Next session: "find bugs." Claude removes
sleep(350)— looks like dead code. - Production incident.
Root cause: git history contains proof of intention. Nobody extracts it.
How It Works
- Indexes your git history — walks every commit, parses diffs at the AST level (function boundaries, not line counts)
- Classifies commits — STRUCTURED (
fix:,feat:), DESCRIPTIVE (plain sentences), or NOISE (wip,x) - Extracts intent — rule-based for structured/descriptive commits, LLM for noise (Phase 2)
- 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]
- Serves decision manifests via MCP — Claude Code calls
get_file_decisionsbefore editing any file
What the AI Sees
- 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)
This single command:
- Creates a local SQLite database at
~/.wisegit/wisegit.db - Indexes your entire git history (462 commits in ~13 seconds)
- Creates
.mcp.jsonfor Claude Code auto-discovery - Creates
CLAUDE.mdrules that instruct AI to check before editing - Adds
.mcp.jsonto.gitignore
2. Enrich with Issue Context (optional)
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:
- Start the wisegit MCP server (via
.mcp.json) - Read the protection rules (via
CLAUDE.md) - Call
get_file_decisionsbefore editing any file
MCP Tools
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:
Inside Claude Code, call extract_intent to retroactively recover intent for NOISE commits — uses Claude itself, no Ollama installation needed.
CLI Commands
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
Option C: Manual .mcp.json
Create .mcp.json in your repo root:
Supported Languages
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.
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
Freeze Score Signals
The freeze score is never stored directly — it's derived by replaying the event stream for each function. Signal categories:
Freeze score formula:
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:
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.
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:
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
Environment Variables
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 calibrateCLI
License
MIT
Source: README.md at commit 75fab44
Tools
0Version history
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