📖 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 gnarly 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

✨ Why you'll want it

• 🔀 One memory, every agent. Claude Code, Codex, Cursor, and Cline all read and write the same store. 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 clones the repo, installs Lore, indexes your own history, registers itself into its own MCP config, figures out the reload step for your client, and proves search works before it calls itself done.

Clone https://github.com/jordanhindo/lore into a directory of your choosing
and cd into it, then set up Lore (full-fidelity session memory over MCP)
for yourself. Read AGENT-ONBOARD.md in the repo you just cloned and follow
it top to bottom: install + build, run `lore setup` to index my history
and self-verify, register the Lore MCP server in your own client config,
reload so the tools load, then prove it by calling search_memory for a word
from a past session. Tell me any manual step (like restarting) that I have
to do.

The deterministic recipe the agent follows lives in AGENT-ONBOARD.md. Prefer to drive it yourself? The one command that does the indexing half is lore setup (below).

🛠️ Install it yourself

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

Requires Node 22+. That's the whole install. lore setup (below) 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).

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 --redact     # opt-in secret redaction (see Privacy)

Other harnesses come in with --source. Codex is built in:

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

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

🔌 Serve it to your client

lore serve starts the MCP server over stdio. Point any MCP client at it.

Claude Code (add to ~/.claude/settings.json):

{
  "mcpServers": {
    "lore": { "command": "lore", "args": ["serve"] }
  }
}

Cursor / Cline and friends: add an stdio server entry with the same command / args shape in the client's MCP config.

What your agent can do

Tool	What it does
search_memory	Keyword search across every transcript, ranked by bm25, with filters.
find_relevant	Like search_memory, but blends relevance with recency.
get_message	Fetch one message by id (full=true returns the un-elided text).
get_context	The neighbor window around an anchor message.
get_session	One logical session as a folded, paginated timeline.
list_sessions	Session rollups (counts, first / last activity), filterable.
timeline	Bucketed activity over time, by day or hour.

Every search tool takes the same dimension filters: project, branch, source, agent, skill, tool, role, model, since, until, limit.

What a search returns

Your agent calls search_memory with a query (plus any filters) and gets back a count and a ranked list of hits. Each hit carries the matched text and full provenance, so the agent knows where the memory came from and can pull the rest with get_message:

// search_memory({ query: "fts tokenizer", source: "claude-code", limit: 2 })
{
  "count": 2,
  "hits": [
    {
      "messageId": "9f3c…a71b",          // synthetic, stable across re-index
      "sessionId": "0c1d2e3f-…",
      "sourceFileId": "claude-code:…",
      "role": "assistant",
      "timestamp": "2026-06-05T18:22:41.103Z",
      "project": "/Users/you/lore",
      "branch": "main",
      "model": "claude-opus-4",
      "agent": null,
      "score": 11.27,                       // higher is a better match (bm25)
      "text": "Switched the FTS5 tokenizer to unicode61 with tokenchars '_-.' so getUserById and foo.bar.ts stay whole…",
      "textTruncated": false
    }
    // …one more hit
  ]
}

Long messages come back elided with a marker telling the agent how to fetch the full text via get_message(message_id, full=true) — so one giant transcript can never blow the context window.

🪄 Survive compaction

Compaction is the moment memory matters most, so catch the session right before the window gets wiped. Wire lore hook into your harness's lifecycle hooks. It reads the hook payload on stdin, indexes just that one file, and always exits 0 (it will never crash your harness).

For Claude Code, add to ~/.claude/settings.json:

{
  "hooks": {
    "PreCompact": [{ "hooks": [{ "type": "command", "command": "lore hook" }] }],
    "SessionEnd": [{ "hooks": [{ "type": "command", "command": "lore hook" }] }]
  }
}

🧩 Bring your own harness

Don't see your agent on the list? lore sample <transcript-dir> summarizes its on-disk format, and the bundled lore-setup skill (skills/lore-setup/) walks an agent from "installed" to "my sessions are searchable," including writing and proving a new adapter, or using the live push path when a harness keeps no files at all.

🔒 Privacy

• The store is local (~/.lore/lore.db), lives outside any repo, and *.db is gitignored. Move it with LORE_DB.
• Transcripts are indexed verbatim by default. It's your own memory, so nothing gets dropped unless you ask.
• Opt-in redaction. Pass --redact to lore index / lore hook and a conservative credential scrubber runs over message text and tool payloads first (OpenAI / GitHub / AWS / Slack keys, Bearer tokens, PEM private-key blocks). Think of it as a safety net, not a guarantee.

🧬 How it works under the hood

• One shared store, many harnesses. Each harness writes into its own source namespace (claude-code, codex, ...). Any MCP client can read everyone's history.
• Three IDs. A source_file_id is a physical transcript file (the unit of ingestion and the resume watermark). A session_id is a logical session shared across a primary file and its subagent files. Each message gets a synthetic message_id = hash(source_file_id + uuid + seq) because raw uuids collide.
• Incremental by construction. A per-file watermark skips unchanged files, appends only new tails, and fully re-indexes rewritten ones. Re-running a backfill over thousands of transcripts only touches what changed.
• Code-aware search. The FTS5 tokenizer keeps identifiers and paths whole, so the things you actually search for stay searchable.

⚙️ Environment

Var	Default	Meaning
LORE_DB	~/.lore/lore.db	Store location.
LORE_LOG_LEVEL	info	debug / info / warn / error.

👷 Development

npm run check   # typecheck + lint + format + test
npm run test:watch

License: MIT.