Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Git-native memory for coding agents: gotchas, decisions and bookmarks as plain text in your repo.
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.
INFERNOFLOW_PROJECT_DIRYou 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": {
"infernoflow": {
"command": "npx",
"args": [
"-y",
"infernoflow",
"mcp"
],
"env": {
"INFERNOFLOW_PROJECT_DIR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add infernoflow --env INFERNOFLOW_PROJECT_DIR=your-value -- npx -y infernoflow mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"infernoflow": {
"command": "npx",
"args": [
"-y",
"infernoflow",
"mcp"
],
"env": {
"INFERNOFLOW_PROJECT_DIR": "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": {
"infernoflow": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"infernoflow",
"mcp"
],
"env": {
"INFERNOFLOW_PROJECT_DIR": "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.
INFERNOFLOW_PROJECT_DIR envThese 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 7, 2026
The registry name was verified with the GitHub account ronmiz, 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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 (0.50.0) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
Every new AI session starts cold — the gotchas you found, the decisions you made, don't survive. infernoflow makes them stick.
Persistent memory for AI coding sessions. Captures the gotchas, decisions and dead ends your code can't tell an agent — and replays them into your next Cursor / Claude Code / Copilot chat so the same wrong turn never happens twice.
You spent 90 minutes yesterday teaching Claude that your auth API returns 200 even on errors — check the response body, not the status code. Today you ask the same kind of question and watch it write if (response.ok) { return data } all over again. The AI didn't get worse overnight. It just doesn't have memory.
infernoflow is a local-first CLI + VS Code extension + open protocol (AMP) that gives your AI persistent context across sessions. No SaaS. JSONL on disk. Three rule files your IDE already reads.
Built-in assistant memory remembers *you*. infernoflow remembers the *codebase*: the memory lives in your repo under .ai-memory/, travels through git to your teammates, and works the same in Claude Code, Cursor and Copilot.
npx through a shell.setup registers the MCP server in .codex/config.toml (no machine paths, safe to commit) and creates AGENTS.md with the memory block, on machines with Codex.git commit shows it first. Never blocks.CLAUDE.md whole..vscode/mcp.json and .cursor/mcp.json no longer hold your machine's paths (infernoflow mcp in ${workspaceFolder}), and the rule files no longer list recent commits or personal memory — so a teammate's pull doesn't leave changed files. Optional AGENTS.md support.status, recap and the session start tell you when memory has duplicates, noise or entries about files that changed since, and name the command to fix it. Set "maintenance": "auto" in .ai-memory/amp.json to tidy up once a day, or "off". Also: every command has its own --help that never runs the command.CLAUDE.md no longer carries a copy that goes stale.infernoflow resolve retires one from AI context.infernoflow commands; secrets are redacted; MCP is registered per project.Full list: CHANGELOG.md.
Drop a named resume point mid-session. When the context window fills up or you're about to make a risky change, one command captures the current session's transcript and stores it as a jumpable checkpoint:
infernoflow bookmark "before the SP refactor"
Or just say it in chat — the Cursor beforeSubmitPrompt hook catches phrases like "bookmark this" / "mark this point" / "save this checkpoint" and drops the bookmark itself, no AI cooperation required. Or let the AI do it via the amp_bookmark MCP tool when it notices the session is getting long.
No `--note`? infernoflow reads Claude Code's own on-disk transcript (~/.claude/projects/…/*.jsonl), distills the last 40 turns to markdown, and stores it as the bookmark's context. Fully deterministic — no model call. Recall any time:
infernoflow bookmark list # ● has context, ○ marker only
infernoflow bookmark show "SP refactor" # jump back — see the whole snapshot
Bookmarks are never auto-pruned, and they surface in infernoflow switch under a ## 🔖 Bookmarks — Resume Points section so the next session opens right where work paused.
init now installs two things into .claude/ so the loop runs itself on Claude Code:
.claude/skills/) — teaches the agent to start warm (resume), then proactively log real gotchas, decisions-with-a-*because*, dead ends, and durable preferences, and drop a bookmark at stopping points or when you say *"bookmark this"*. Capture is balanced — it skips routine steps, anything obvious from the code, secrets, and duplicates..claude/agents/) — a specialist you can delegate to. It sweeps the session, dedupes against what's already stored, logs what's worth keeping, drops bookmarks, and reports back. It never edits code or logs secrets, and a guard limits its shell to single infernoflow read/log commands (blocked if the guard can't run).Both are installed automatically by infernoflow init (fresh and on re-run of an existing project) and ship in the package — nothing to set up by hand.
Every new AI session today starts cold. The agent re-reads your code, re-derives the obvious, and re-makes the same wrong move someone else made yesterday. infernoflow closes that loop in four stages:
amp_write MCP tool. A protocol block injected into the rule files teaches it exactly when. Prompt hooks (Claude Code UserPromptSubmit, Cursor beforeSubmitPrompt) backstop the AI by scanning the text you typed — subagent hand-backs, system reminders, fenced or indented code, quotes and stack traces are skipped — for trouble signals (not working, still broken, same error; !! / retry only in short prompts) and writing the entry deterministically when the AI doesn't (English and Hebrew). In Claude Code the hook also notices when you ask the agent to remember something, state a decision or describe a finding, and reminds the agent to save it in its own words — it stores nothing itself for those. If a session ends with one of those still unsaved, the next session starts with a one-time reminder to offer saving it. The Cursor hook also turns *"bookmark this"* into a bookmark.gotcha | decision | attempt | note | detection | pattern | bookmark) with timestamp, file:line, tags, and a stable AMP id..ai-memory/branches/ .jsonl (git-tracked, travels with your branch — teammates inherit it) plus .ai-memory/global.jsonl (personal preferences, gitignored, synced across your machines via any OS-synced folder).CLAUDE.md / .cursorrules / copilot-instructions.md at boot. The most relevant entries are already there. Warm start; no cold derivation.And at the last moment before a repeat: when a commit touches a file that memory has a gotcha, failed attempt or decision about, the git pre-commit note prints those entries — to you or to the agent running git commit. It never blocks the commit. (setup / init install it in .git/hooks; turn it off with "preCommit": "off" in .ai-memory/amp.json.)
No service to log into. No SaaS. JSONL on disk, an MCP server, and three rule files your IDE already reads.
npm install -g infernoflow
infernoflow init --yes
Zero runtime dependencies. Works on Node ≥ 18 — macOS, Linux, Windows.
init --yes does the whole setup: creates .ai-memory/, writes rule files for every supported IDE, wires the MCP server for Cursor / VS Code Copilot / Claude Code in one shot, installs the infernoflow-memory skill + memory-keeper agent into .claude/, applies the clean-tree git policy, and drops a visible demo entry so you can confirm the loop is alive with:
infernoflow status
These cover 95% of usage:
| Command | What it does | |||
|---|---|---|---|---|
infernoflow log "..." | Remember a gotcha / decision / attempt / note. `--type gotcha\ | decision\ | attempt\ | preference` |
infernoflow resume | 🆕 0.46 "Where were we?" in one call — last resume point, open dead ends, recent decisions, uncommitted work. --file ranks by file | |||
infernoflow ask "..." | Search your memory by keyword — gotchas surface first. --file ranks entries about that file first | |||
infernoflow switch | Generate a handoff for the next session. --copy puts it on your clipboard | |||
infernoflow recap | End-of-session summary with health score + unlogged-change detection; lists memory that arrived through git and marks it reviewed | |||
infernoflow status | Quick health check — entries, gotchas, decisions, last activity |
| infernoflow bookmark "..." | 🆕 Drop a named resume point — auto-captures the session transcript as its context. list / show / rm round it out. Surfaces in switch.
Only the beginning is shown; read the rest in the repo