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  1. Home
  2. ๐Ÿง  Knowledge & Memory
  3. Rekindle
Rekindle logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 3:00:51 PM

Rekindle

User RatingsBe the first to rate and review this MCP server!
View Repository4 GitHub StarsTotal stargazers on GitHub for the source repository (4 stars).Visit Website

Local session continuity engine using SQLite for AI context orientation, gap detection, and structured memory capture.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "skitchy-rekindle": {
      "command": "npx",
      "args": [
        "-y",
        "rekindle"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿง  More in Knowledge & Memory

Overview

This server manages AI session continuity by orienting the assistant at session start, capturing detailed session state at end, and preserving context through mid-session compaction. It stores data locally in SQLite with full-text search and uses a scoring system to detect gaps in session memory. Use it when you need reliable session context loading, gap awareness, and structured continuity records without external APIs.

Use cases

โ€ขOrient AI assistant with project identity and recent context at session start
โ€ขCapture detailed session decisions, open loops, and constraints at session end
โ€ขPreserve session context before mid-session compaction to avoid data loss
โ€ขSearch and manage session memories with BM25-ranked full-text queries
โ€ขDetect and report gaps in loaded context to improve session reliability

Key features

โ€ขBoot report with gap detection and 100-point orientation scoring
โ€ขStructured end-session capture including checkpoints, decisions, and open loops
โ€ขPreCompact hook to save context before mid-session compaction
โ€ขLocal SQLite database with FTS5 for full-text memory search
โ€ขMultiple read modes: summary, structured, and raw transcript excerpts
โ€ขZero API keys required; runs locally via npx

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Rekindle.

Extracted Tool Capabilities
Boot report with gap detection and 100-point orientation scoring
Structured end-session capture including checkpoints, decisions, and open loops
PreCompact hook to save context before mid-session compaction
Local SQLite database with FTS5 for full-text memory search
Multiple read modes: summary, structured, and raw transcript excerpts
Zero API keys required; runs locally via npx

Documentation Overview

Rekindle

npm tests license Glama score

For Claude Code users who lose time re-explaining project context every session.

Terminal
npx rekindle init

Your AI forgets everything between sessions. Rekindle fixes that.


Rekindle init demo

Rekindle is an MCP continuity engine that solves session orientation, not just storage. Orient at session start, capture at session end, survive mid-session compaction. All local, all SQLite, zero API keys.

v0.3.3 โ€” version-consistent MCP metadata and package documentation, on top of v0.3.2's one-command session-start delivery installer. Release notes

Quick Start

Requires Node.js 20 or newer.

Terminal
npx rekindle init

This creates .rekindle/ in your project with a SQLite database, identity template, captures directory, and transcript directory. Then add the MCP server config for your client:

Claude Code

Add to ~/.claude.json:

config.json
{
  "mcpServers": {
    "rekindle": {
      "command": "npx",
      "args": ["-y", "rekindle"]
    }
  }
}

Enable PreCompact protection (captures context before mid-session compaction):

Terminal
npx rekindle setup-hooks

Enable session-start orientation delivery โ€” the budgeted orientation packet arrives automatically at startup, resume, /clear, and /compact, so the model re-orients at every context boundary without being asked:

Terminal
npx rekindle setup-delivery

Both hooks are opt-in; plain init never installs either. npx rekindle init --with-hooks --with-delivery does everything in one line.

Claude Desktop

Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):

config.json
{
  "mcpServers": {
    "rekindle": {
      "command": "npx",
      "args": ["-y", "rekindle"]
    }
  }
}
Cursor

Add to .cursor/mcp.json in your project root:

config.json
{
  "mcpServers": {
    "rekindle": {
      "command": "npx",
      "args": ["-y", "rekindle"]
    }
  }
}

Then fill in .rekindle/identity.md and paste the boot instructions into your project's CLAUDE.md.

Session 1 stores. Session 2 remembers. Session 10 anticipates.


The Problem (43 Sessions of Data)

Over 43 sessions, we measured what an AI assistant failed to load at session start:

MetricValue
Sessions analyzed43
Clean boots (all context loaded)33%
High-signal failures (5+ gaps)26%
Total retrieval failures173

Existing memory tools (Mem0, Letta, Zep) optimize for retrieval accuracy: can the AI find what it stored? That's necessary but not sufficient. None of them address whether the AI loaded the right context for this session, or whether it can detect what it missed.

Rekindle solves session orientation: loading identity, recent context, memory health, and missing-context warnings before the assistant starts work.

See docs/gap-analysis.md for the full research dataset.


What It Does

Boot: orient at session start

boot_report runs an orientation pipeline before any work begins:

Code
boot_report
  +-- Read identity document (who am I working with?)
  +-- Scan memory stats (what do I know?)
  +-- Find latest checkpoint (where did we leave off?)
  +-- Read last transcript (what actually happened?)
  +-- Surface open loops (what needs follow-up?)
  +-- Surface PreCompact captures (what survived compaction?)
  +-- Detect gaps (what am I missing?)
  +-- Calculate orientation score (how oriented am I?)
  --> "Carrying forward: [context loaded, gaps identified, score: 80/100]"

Survive the Long Middle: PreCompact capture (v0.3)

Mid-session compaction destroys reasoning chains, failed approaches, relational texture, and tone. The PreCompact hook fires automatically before compaction and saves what would otherwise be lost:

Code
PreCompact hook fires
  +-- Parse JSONL transcript (last N messages)
  +-- Write raw Markdown capture (.rekindle/captures/)
  +-- Write structured JSON snapshot (decisions, open loops, files)
  +-- Update manifest for cheap listing
  --> boot_report surfaces captures on next session start
  --> end_session warns if captures exist but weren't reviewed

Three read modes control token cost:

  • summary โ€” one paragraph, cheap
  • structured โ€” decisions/loops/warnings, moderate
  • raw โ€” full transcript excerpt, expensive (only when needed)

Capture: close the loop at session end

end_session stores structured continuity records โ€” not just a summary:

FieldWhat it captures
checkpointWhere we left off (required)
decisionsWhat was decided and why
open_loopsUnresolved tasks or questions
constraintsBoundaries that must not be violated
relational_deltaWhat changed in the working relationship
next_session_focusWhere to resume next session
preferencesNew user preferences learned
warningsThings next session should watch for

All records stored with type, source, and session_id metadata. Next boot_report loads the checkpoint automatically.

Between sessions: search and manage

ToolDescription
store_memoryStore with content, category, importance (1-10), and project scope
search_memoryFull-text search with BM25 ranking, boosted by importance
list_memoriesBrowse memories, newest first. Filter by category or project
delete_memoryDelete by ID
update_memoryUpdate content, category, or importance
list_capturesList PreCompact captures (optionally filter by session)
read_captureRead a capture in summary, structured, or raw mode
capture_nowManually capture current session context on demand

Categories: preference lesson context relationship general


Why not just CLAUDE.md?

A static file is passive. Your AI reads it, but it can't search it, rank it, track what's been retrieved, or tell you what's missing. Rekindle adds:

  • Search โ€” full-text with importance-weighted ranking
  • Structure โ€” category and project scoping across memories
  • Orientation โ€” proactive context loading at boot, not just on-demand retrieval
  • Gap detection โ€” flags missing identity, empty categories, stale data
  • Scoring โ€” transparent checklist so you know how oriented the AI is
  • Session capture โ€” structured close with checkpoints, decisions, and open loops
  • Compaction survival โ€” PreCompact captures preserve what summaries flatten

Release Highlights

v0.3.3

  • Version-consistent protocol metadata โ€” the MCP initialize response derives its version from the shipped package metadata, preventing release-version drift
  • Package-page accuracy โ€” the README shipped to npm identifies the current release before the tag and package are created
  • 148 automated tests, plus a packed-artifact check that compares MCP metadata to the installed package version

v0.3.2

  • One-command delivery install โ€” npx rekindle setup-delivery (or init --with-delivery) configures the SessionStart hook opt-in: idempotent, preserves other tools' hooks, refuses corrupted settings files
  • 147 automated tests

v0.3.1 โ€” "Five Measured Gates"

  • Session-start delivery โ€” rekindle session-start emits a budgeted orientation packet via the SessionStart hook at startup, resume, /clear, and /compact
  • Budgeted packets, truthful receipts โ€” packets cap at 8,000 valid UTF-8 bytes with an in-packet truncation marker; receipts attest emission only and never claim model visibility
  • Desktop-safe storage โ€” storage root never derives from the spawn point (Claude Desktop spawns MCP servers at /); explicit resolution order, fail-loud
  • Dual-channel guidance โ€” workflow guidance rides both tool descriptions and MCP instructions, drift structurally impossible
  • Cursor adapter โ€” session-start --client cursor with whitelist stdin parsing; email and workspace paths never reach receipts
  • Measured, not assumed โ€” every claim above is backed by a published measurement (evidence, spike results)

v0.3.0 โ€” "Survive the Long Middle" added the PreCompact capture system, open loops, and review tracking โ€” v0.3.0 release notes


CLI Commands

CommandDescription
npx rekindle initSet up .rekindle/ in current directory
npx rekindle init --globalSet up in home directory
npx rekindle init --with-hooksInit + configure PreCompact capture hook
npx rekindle init --with-deliveryInit + configure SessionStart delivery hook
npx rekindle setup-hooksConfigure PreCompact capture hook (standalone)
npx rekindle setup-deliveryConfigure SessionStart delivery hook (standalone)
npx rekindle session-startEmit budgeted orientation packet (SessionStart hook)
npx rekindle session-start --client cursorSame, in Cursor's hook response shape
npx rekindle precompact-captureCapture context before compaction (hook)
npx rekindle capture-nowManually capture current session context
npx rekindleStart MCP server (used by Claude Code)

Install from Source

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
4
Stargazers on the source repository.
npm downloads
321
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.

Reviews

No reviews yet โ€” be the first to share how this listing worked for you.

Frequently Asked Questions about Rekindle

It orients the AI at session start by loading identity, memory stats, checkpoints, transcripts, and detects missing context to ensure the right information is available.

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Technical Specs & Signals

Category๐Ÿง Knowledge & Memory
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
Last updatedAug 9, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars4
GitHub Star CountTotal stargazers on GitHub representing community popularity (4 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 9, 2026
npm downloads321/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
52Quality signal: Good ยท 52/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 14d ago via OSV.dev ยท rekindle (npm)

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