GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Search a local wiki compiled from your Claude Code, Codex, Cursor and other AI coding sessions.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
SESSIONWIKI_HOMEYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"sessionwiki": {
"command": "uvx",
"args": [
"sessionwiki",
"mcp"
],
"env": {
"SESSIONWIKI_HOME": "your-value"
}
}
}
}Run this in your terminal
claude mcp add sessionwiki --env SESSIONWIKI_HOME=your-value -- uvx sessionwiki mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sessionwiki": {
"command": "uvx",
"args": [
"sessionwiki",
"mcp"
],
"env": {
"SESSIONWIKI_HOME": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"sessionwiki": {
"type": "stdio",
"command": "uvx",
"args": [
"sessionwiki",
"mcp"
],
"env": {
"SESSIONWIKI_HOME": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account necroz, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: SESSIONWIKI_HOME
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (2.0.5) reached the registry 2 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Your AI coding sessions, compiled into a searchable, interlinked wiki — from Claude Code, Codex CLI, Cursor, Gemini CLI, Copilot, ZCode and OpenCode. Local-first, with LLM synthesis, a session graph, and an MCP server so your agents can look up what you already solved.
27 synthetic sessions across five projects and seven agents (Aug–Nov 2026) — no personal data. Rebuilt from examples/demo-sessions/ on every push to master.
Every agent you work with writes a full transcript to disk: the plan, the dead ends, the fix, the reasoning behind it. Hundreds of them, in five different formats, and you never look at them again.
sessionwiki turns that history into a knowledge base:
sessionwiki audit checks the output before you publish anything.| 8 sources | Claude Code, Codex CLI, Cursor, Gemini CLI, Copilot Chat / CLI, ZCode, OpenCode, Obsidian — each with its own agent badge |
| Autosync | Claude Code Stop hook, ZCode Stop hook + nightly systemd / launchd / Task Scheduler job, OpenCode session.idle plugin |
| Synthesis backends | Ollama, any OpenAI-compatible server (vLLM, SGLang, LM Studio, LiteLLM, hosted), agent-delegate, offline dummy |
| Signal over noise | Low-signal session coalescing, wikilink cleanup, concurrency control, cost --estimate |
| Static site | 365-day heatmap, token and cache stats, filterable sessions table, session pages with highlighted code, project pages with topics, session ↔ project graph, ⌘K search, dark mode |
| MCP server | 12 tools: query, search, read, list sources, lint, sync, exports, dashboard… |
| AI exports | llms.txt, llms-full.txt, JSON-LD graph, per-page .txt / .json, sitemap, RSS |
| Safe by default | Redaction of usernames and 17 secret patterns, read-only database exports, OS file locks and atomic state writes, doctor and audit |
All screenshots come from the live demo and are regenerated with scripts/regen_docs_screenshots.py.
Every session, every agent — filter by project, model and date; each row carries its agent badge.
Session pages — the summary, the conversation, highlighted code and the tools that ran, plus token and cache usage.
Projects — topics, description, activity and tool usage per project, with freshness badges on the index.
Graph and search — sessions grouped around their projects; ⌘K searches every page instantly.
git clone https://github.com/necroz/sessionwiki.git
cd sessionwiki ./setup.sh # Windows: setup.bat — creates .venv, detects your agents ./sync.sh # convert new sessions into raw/ ./build.sh && ./serve.sh # build the site and open http://127.0.0.1:8765
setup creates a checkout-local .venv, installs the package, scaffolds raw/, wiki/, site/, enables the adapters for the agents it finds and runs sessionwiki doctor. The wrapper scripts use the venv automatically; for the CLI, activate it (source .venv/bin/activate) or call .venv/bin/sessionwiki.
Or install the published package — pick one:
uv tool install sessionwiki # uv: CLI in its own isolated environment
uvx sessionwiki --help # uv: run without installing pip install sessionwiki # pip, inside a virtualenv pip install 'sessionwiki[graph]' # + graphify graph engine (also works with uv tool install)
Docker — serve a site you have built (image ghcr.io/necroz/sessionwiki, see Docker deployment for docker compose and running CLI commands in the container):
docker run --rm -p 8765:8765 -v "$PWD/site:/wiki/site:ro" ghcr.io/necroz/sessionwiki
A step-by-step walkthrough with screenshots lives in the setup guide.
Claude Code, Codex CLI, Cursor, Gemini CLI, Copilot — read straight from their session folders on sessionwiki sync. To sync after every Claude Code reply, add a Stop hook to ~/.claude/settings.json:
{
"hooks": { "Stop": [{ "hooks": [{ "type": "command", "command": "cd /path/to/sessionwiki && .venv/bin/python -m sessionwiki sync --no-auto-build >/dev/null 2>&1 &" }] }] } }
Parallel hook runs are safe: sync and synthesize take an OS file lock and write their state atomically.
ZCode keeps sessions in SQLite. sessionwiki exports them read-only and installs the hook and a nightly job for you:
sessionwiki zcode install --dry-run # show what will be written
sessionwiki zcode install # Stop + SessionStart hooks, systemd / launchd / Task Scheduler
OpenCode (V2, opencode.db) gets a server plugin that runs autosync when a session goes idle:
sessionwiki opencode install --dry-run
sessionwiki opencode install # honours $XDG_CONFIG_HOME
Hook-triggered runs skip instead of queueing when a cycle is already running; scheduled runs wait and catch up. Details: ZCODE.md, docs/adapters/opencode.md, and sessionwiki adapters for the full list.
sync fills raw/ with redacted transcripts. synthesize turns them into wiki pages: a summary per session, project pages, cross-links. Point it at any backend in config.local.json:
{
"synthesis": { "backend": "openai", "base_url": "http://127.0.0.1:8000/v1", "model": "qwen3-coder", "max_concurrency": 8, "coalesce_low_signal": true } }
sessionwiki synthesize --estimate # what it will cost before you run it
sessionwiki synthesize # new sessions only; idempotent sessionwiki all --with-synth # synthesize → build → graph → export → lint
Backends: ollama (local), openai (any OpenAI-compatible /v1: vLLM, SGLang, LM Studio, LiteLLM, hosted APIs), agent-delegate (let your coding agent write the pages), dummy (offline stubs). sessionwiki warns when a non-loopback base_url would send transcripts off your machine. See docs/modes/api/.
Claude Code plugin — the MCP server, a skill that tells the agent when to search the wiki, and a SessionStart hook that puts the project's recent sessions into context. It asks for your sessionwiki folder on install:
/plugin marketplace add necroz/sessionwiki
/plugin install sessionwiki@sessionwiki
Any MCP client — run the published package with uvx, and point SESSIONWIKI_HOME at the folder that holds raw/ and wiki/ (run sessionwiki sync there first):
{
"mcpServers": { "sessionwiki": { "command": "uvx", "args": ["sessionwiki", "mcp"], "env": { "SESSIONWIKI_HOME": "/path/to/your/sessionwiki" } } } }
From a source checkout, use "command": "/path/to/sessionwiki/.venv/bin/sessionwiki" with "args": ["mcp"]; the checkout is the data root, so no env is needed.
Add it to Claude Code, Claude Desktop, ZCode or any MCP client. Tools include wiki_query (ranked search over wiki pages in any language, falling back to raw transcripts), wiki_search (exact text, optionally over raw transcripts), wiki_read_page, wiki_list_sources, wiki_lint, wiki_sync, wiki_export, wiki_dashboard and more — 12 in total, stdio transport, no SDK dependency, path-traversal guarded.
sessionwiki init # scaffold raw/ wiki/ site/
sessionwiki sync # export ZCode/OpenCode + convert transcripts to markdown sessionwiki synthesize # LLM summaries into wiki/ (--estimate, --coalesce-only, --force) sessionwiki build # static site + AI exports sessionwiki serve # local server on 127.0.0.1:8765 sessionwiki all # build → graph → export → lint (add --with-synth) sessionwiki query " " # ask the wiki a question from the terminal sessionwiki graph # session/project and wikilink graph sessionwiki lint # wiki lint rules sessionwiki export # llms.txt, JSON-LD, sitemap, RSS, … sessionwiki candidates # review candidate pages sessionwiki adapters # available adapters and their state sessionwiki doctor # check Python, deps, config, agent paths sessionwiki audit # scan raw/ wiki/ site/ for usernames and secrets sessionwiki zcode # export · autosync ·
Only the beginning is shown; read the rest in the repo