Lore

Name: Lore
Author: jordanhindo

by jordanhindoversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.jordanhindo/lore

Install

Overview

Description from the maker (original English)

Lightweight MCP for infinite agent memory. Any agent, any session, anytime.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "lore": {
      "command": "npx",
      "args": [
        "-y",
        "@jordanhindo/lore"
      ]
    }
  }
}

Run this in your terminal

claude mcp add lore -- npx -y @jordanhindo/lore

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "lore": {
      "command": "npx",
      "args": [
        "-y",
        "@jordanhindo/lore"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "lore": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@jordanhindo/lore"
      ]
    }
  }
}

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.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account jordanhindo, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7254 servers in this category
Published to the registry more recently than 15% of the other 7254 servers in this category
Basic checks equal to or better than 100% of the other 7254 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Lore safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

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.

📖 Lore

Shared, full-fidelity, session history for every AI agent you use.

Any Agent. Any Session. Any Turn. Anytime.

The session you ran in Claude Code this morning, Openclaw can pull up this afternoon. The debugging thread Cursor worked through last week, Hermes can read like it was sitting right there. Lore gives all of your coding agents one shared memory: across every tool, across every session, and it never expires.

That is the part most "agent memory" misses. Other tools remember things for one agent, inside one app. Lore makes every session any of your agents has ever had searchable by any other agent, anytime. What Codex figured out, Claude Code knows. What you solved on Tuesday is one search away on Friday, in whatever agent you happen to be in.

And yes, it survives compaction. When a context window fills up and compacts, the work isn't gone, it's sitting right there on disk. Lore just makes it reachable again, fully searchable, right where your agents work. Local, private, and yours forever.

https://github.com/user-attachments/assets/b5c0f077-47da-4502-bf78-2ce08abf034f

*Inspired by RLM*

v0.2.0 release

This release turns Lore from a search box over old transcripts into a small workflow substrate for agents that have to continue real work:

Schema 5 write support. Current installs can read and write the live store again. lore status --json reports both schemaVersion and supportedSchemaVersion, so stale global installs are obvious before sync, index, or push writes fail.
Freshness checks. lore status tells an agent whether a source/project window is ready, missing, stale, or possibly unsynced before it writes a brief or handoff from incomplete memory.
Live detected-source sync. lore sync indexes a detected active transcript tree incrementally. This covers codex (~/.codex/sessions, with archived sessions as a compatibility fallback) and claude-code (~/.claude/projects) without forcing agents to remember raw paths.
Workflow skills. The npm package now ships lore-recall, lore-brief, lore-handoff, and lore-dev-verification alongside the base lore skill. They include references, examples, eval specs, validators, and committed test reports.
Package smoke proof. npm run package:smoke builds, packs, unpacks, and validates the real tarball so README, help text, skill folders, executable mode, and package metadata are checked together.

Already installed? Refresh the global command before testing any schema or sync behavior:

npm install -g @jordanhindo/lore@latest

lore help lore status --json

If your shell cached the old path, open a new terminal or run hash -r and retry lore help.

✨ Why you'll want it

🔀 One memory, every agent. Claude Code, Codex, openclaw, Cursor, and Hermes histories all land in one store (separate from their own /. stores), and any MCP client reads it. A session in one agent is instantly readable by all the others. What Codex figures out, Claude Code knows.
🧠 It outlives the context window. Compaction stops meaning amnesia. Last week's reasoning is one search away.
🔍 Search that speaks code. getUserById, foo.bar.ts, and trust-metadata stay findable as whole words, not shredded into noise.
🔒 Local by default. Everything lives at ~/.lore/lore.db on your machine. Nothing phones home. Ever.

🚀 Quick start (paste this into your agent)

Lore sets itself up. Drop the blurb below into any coding agent. It installs Lore, indexes your own history, and proves search works before it calls itself done. It is server-free by default, with no MCP registration required.

Set up Lore (full-fidelity session memory) for yourself. Install it with

npm install -g @jordanhindo/lore@latest, then run lore setup to index my history and self-verify. Prove it by running lore search for a word from a past session and showing me a hit. The MCP server is optional: only register it (lore serve) if you specifically want MCP tool calls instead of the CLI; if you do, tell me the reload step I have to do.

The deterministic recipe the agent follows lives in AGENT-ONBOARD.md, which keeps MCP registration as an optional step. Prefer the skill instead? npx skills add jordanhindo/lore (below) drops in the self-bootstrapping lore skill, which does all of this the next time you ask it to recall something.

🛠️ Install it yourself

Recommended: install the skill. It sets up the rest.

npx skills add jordanhindo/lore

This drops the bundled `lore` skill into your agent (~/.claude/skills/). The skill is self-bootstrapping: the next time you ask your agent to "remember" / "recall" something or to "set up lore", it reads its own references/setup/index.md, installs the lore CLI, indexes your history, and proves search works. No MCP server required. One command installs the whole thing.

Or install the CLI directly:

npm install -g @jordanhindo/lore@latest   # puts the `lore` command on your PATH

Requires Node 22+. That's the whole install. lore setup takes it from here. If npm install chokes on better-sqlite3, or lore isn't found afterward, the Troubleshooting section has you covered, Windows included.

Upgrade the global CLI

The global lore command is just an npm binary shim. If you were running an old package, update it before you trust lore sync, lore index, or lore push:

npm install -g @jordanhindo/lore@latest

lore help lore status --json

If lore status --json shows a store schemaVersion higher than supportedSchemaVersion, your command is still stale. Reinstall the package, open a fresh shell if needed, then rerun lore status --json.

From source

Cloning is for contributors, or for writing a new adapter (which needs the source tree):

git clone https://github.com/jordanhindo/lore && cd lore

npm install npm run build npm link # optional: puts lore on your PATH

📥 Backfill your history

lore setup is the fast path. It sniffs out the harnesses on your machine, indexes each one, checks that search works, and prints how to wire Lore into your MCP client.

lore setup

Want finer control? Point lore index at a transcript directory. For Claude Code that's ~/.claude/projects:

lore index ~/.claude/projects              # primary transcripts

lore index ~/.claude/projects --subagents # include subagent transcripts lore index ~/.claude/projects --no-redact # keep credentials verbatim (see Privacy)

Other harnesses come in with --source. Codex, openclaw, Cursor, and Hermes are all built in:

lore index ~/.codex/sessions --source codex

lore index ~/.openclaw/sessions --source openclaw lore index ~/.cursor --source cursor # reads Cursor's SQLite state store lore index ~/.hermes --source hermes # reads Hermes's SQLite state store

Cursor and Hermes keep their history in a SQLite database rather than JSONL files; point lore index at the directory and the adapter reads the store directly. Current sampled Cursor rows expose toolResults fields but only empty arrays, so the Cursor adapter indexes text only and fabricates no tool calls.

Re-run any of these whenever. Unchanged files get skipped, so repeat runs are cheap.

Some harnesses write transcript trees instead of emitting Lore-compatible hook payloads. For manual active-session catch-up, use the incremental sync command:

lore sync codex

lore sync claude-code lore sync hermes

codex sync indexes ~/.codex/sessions incrementally, with ~/.codex/archived_sessions only as a compatibility fallback. claude-code sync indexes ~/.claude/projects incrementally, including subagent transcripts. hermes sync indexes ~/.hermes incrementally.

For cron, launchd, Task Scheduler, or any unattended timer, use the bundled lock-protected wrapper instead of raw lore sync so multiple source jobs do not write ~/.lore/lore.db at the same time:

./scripts/lore-sync-once.sh codex

./scripts/lore-sync-once.sh claude-code ./scripts/lore-sync-once.sh hermes

💻 Recall from the CLI, no server required

You don't need the MCP server to use Lore. The lore command opens the SQLite store directly, so search, read-back, navigation, and writing all work server-free anywhere you have a shell. The MCP server below is just one more reader of the same store; nothing here depends on it.

The loop is always the same: drill down, never dump. A session can be millions of tokens, so you never page a whole one into context. Search broadly, take the real ids it hands back (you never invent one), then spend them:

lore search "fts tokenizer" --relevant     # → hits, each leading with a message + session id

lore get --full # read that one message in full lore context # 5 before / 5 after, anchor flagged lore session --around # jump to that spot, read forward

Other commands round out the loop: lore status (freshness/health), lore sessions (recent conversations), lore timeline (activity by day/hour), and lore push (add a live session from a JSON batch on stdin). Add --json to any of them for a machine-readable envelope. Every search filter the MCP tools accept works here too (--project, --source, --session, --branch, --agent, --skill, --tool, --role, --model, --since, --until, --limit).

Before asking for a current brief or handoff, check freshness:

lore status --json --source codex --project "$PWD"

schemaVersion and supportedSchemaVersion tell you whether this build can write to the store. Read-only search may still work against a newer compatible store, but sync/index/push only run when the installed build supports the store schema. In a source checkout, run npm run build before trusting the global lore shim. For npm installs, run npm install -g @jordanhindo/lore@latest and check lore status --json again.

CLI ⇄ MCP parity is proven, not asserted. Each lore … --json envelope is byte-for-byte identical to the matching MCP tool's response, verified by a parity test suite that runs both paths against one shared fixture store. So the CLI is a faithful stand-in for the server:

task	CLI	MCP tool	`--json` envelope
keyword search	`lore search`	`search_memory`	`{ count, hits }`
recency-blended search	`lore search --relevant`	`find_relevant`	`{ count, hits }`
one message	`lore get`	`get_message`	detail obj / `{ error, message_id }`
neighbors	`lore context`	`get_context`	`{ messages }`
session page	`lore session`	`get_session`	`{ messages, nextCursor }`
session list	`lore sessions`	`list_sessions`	`{ count, sessions }`
activity	`lore timeline`	`timeline`	`{ buckets }`
status/freshness	`lore status`	`status`	status envelope
write	`lore push`	`push`	result / `{ error, detail }`

The bundled `lore` skill (skills/lore/) teaches an agent to drive this whole loop: when to search, which id to spend, and how to drill down instead of dumping. It's self-bootstrapping: its references/setup/index.md covers getting history indexed in the first place (install, index/backfill a harness, write an adapter, or push), so one npx skills add jordanhindo/lore installs the whole thing.

Agent Workflow Skills

The low-level skills/lore/ skill teaches agents how to install Lore, index transcripts, search memory, drill into message ids, and use the MCP server when a harness supports it. The workflow pack sits above that substrate:

lore:recall maps to `skills/lo

Only the beginning is shown; read the rest in the repo

Lore

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

📖 Lore

Shared, full-fidelity, session history for every AI agent you use.

v0.2.0 release

✨ Why you'll want it

🚀 Quick start (paste this into your agent)

🛠️ Install it yourself

Upgrade the global CLI

From source

📥 Backfill your history

💻 Recall from the CLI, no server required

Agent Workflow Skills