io.github.Skitchy/rekindle
MCP session continuity engine. Boot reports, orientation scoring, and end-session capture. SQLite.
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Rekindle
For Claude Code users who lose time re-explaining project context every session.
npx rekindle init
Your AI forgets everything between sessions. Rekindle fixes that.

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.
v0.3.0 β "Survive the Long Middle" β PreCompact capture system, open loops, review tracking. Release notes
Quick Start
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:
{
"mcpServers": {
"rekindle": {
"command": "npx",
"args": ["-y", "rekindle"]
}
}
}
Enable PreCompact protection (captures context before mid-session compaction):
npx rekindle setup-hooks
Claude Desktop
Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):
{
"mcpServers": {
"rekindle": {
"command": "npx",
"args": ["-y", "rekindle"]
}
}
}
Cursor
Add to .cursor/mcp.json in your project root:
{
"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:
| Metric | Value |
|---|---|
| Sessions analyzed | 43 |
| Clean boots (all context loaded) | 33% |
| High-signal failures (5+ gaps) | 26% |
| Total retrieval failures | 173 |
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:
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:
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 β one paragraph, cheap
- structured β decisions/loops/warnings, moderate
- raw β full transcript excerpt, expensive (only when needed)
Capture: close the loop at session end
end_session stores structured continuity records β not just a summary:
| Field | What it captures |
|---|---|
checkpoint | Where we left off (required) |
decisions | What was decided and why |
open_loops | Unresolved tasks or questions |
constraints | Boundaries that must not be violated |
relational_delta | What changed in the working relationship |
next_session_focus | Where to resume next session |
preferences | New user preferences learned |
warnings | Things 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
| Tool | Description |
|---|---|
store_memory | Store with content, category, importance (1-10), and project scope |
search_memory | Full-text search with BM25 ranking, boosted by importance |
list_memories | Browse memories, newest first. Filter by category or project |
delete_memory | Delete by ID |
update_memory | Update content, category, or importance |
list_captures | List PreCompact captures (optionally filter by session) |
read_capture | Read a capture in summary, structured, or raw mode |
capture_now | Manually 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 β full-text with importance-weighted ranking
- Structure β category and project scoping across memories
- Orientation β proactive context loading at boot, not just on-demand retrieval
- Gap detection β flags missing identity, empty categories, stale data
- Scoring β transparent checklist so you know how oriented the AI is
- Session capture β structured close with checkpoints, decisions, and open loops
- Compaction survival β PreCompact captures preserve what summaries flatten
v0.3.0 Highlights
- 10 MCP tools β added
list_captures,read_capture,capture_now - PreCompact capture system β automatic context preservation before mid-session compaction
- Open loops in boot_report β surfaces unresolved tasks from prior sessions
- Review tracking β captures marked reviewed after
read_capture;end_sessionwarns if unreviewed - Hook setup β
npx rekindle setup-hooksconfigures Claude Code PreCompact hook - Auto-discovery β
capture_nowdiscovers session transcript without manual paths - 101 automated tests β unit, integration, capture manager, hook setup
CLI Commands
| Command | Description |
|---|---|
npx rekindle init | Set up .rekindle/ in current directory |
npx rekindle init --global | Set up in home directory |
npx rekindle init --with-hooks | Init + configure PreCompact hook |
npx rekindle setup-hooks | Configure PreCompact hook (standalone) |
npx rekindle precompact-capture | Capture context before compaction (hook) |
npx rekindle capture-now | Manually capture current session context |
npx rekindle | Start MCP server (used by Claude Code) |
Install from Source
git clone https://github.com/Skitchy/rekindle.git
cd rekindle
npm install
npm run build
node dist/init/cli.js init
PreCompact Hook Configuration
The setup-hooks command writes this to .claude/settings.local.json:
{
"hooks": {
"PreCompact": [
{
"matcher": "auto",
"hooks": [
{
"type": "command",
"command": "npx rekindle precompact-capture",
"timeout": 60
}
]
},
{
"matcher": "manual",
"hooks": [
{
"type": "command",
"command": "npx rekindle precompact-capture",
"timeout": 60
}
]
}
]
}
}
The hook receives session context on stdin (session_id, transcript_path, cwd, hook_event_name) and writes captures to .rekindle/captures/.
| Variable | Default | Description |
|---|---|---|
REKINDLE_PRECOMPACT_MAX_MESSAGES | 80 | Max messages to capture |
REKINDLE_PRECOMPACT_MAX_CHARS | 120000 | Max characters to capture |
REKINDLE_BASE_DIR | Auto-detected | Base directory for .rekindle/ |
Privacy and Security
- All data is local. Nothing is sent to external servers.
- No network calls. The MCP server communicates via stdio. No HTTP, no telemetry, no analytics.
- Transcripts contain conversation text. Do not enable transcript capture if your sessions contain secrets or credentials.
- Hook installation is opt-in.
setup-hooksmust be run explicitly (not auto-installed byinit). - SQLite database is a regular file. Not encrypted. Use OS-level disk encryption if needed.
.rekindle/is gitignored. The init command handles this automatically.- boot_report reads local files. Paths are not sandboxed. Only use with MCP clients and prompts you trust.
Compatibility
| Client | Transport | Status |
|---|---|---|
| Claude Code (macOS) | stdio | Tested |
| Claude Code (Linux/WSL2) | stdio | Tested |
| Claude Code (Windows) | stdio | Tested |
| Claude Desktop | stdio | Compatible (same MCP config format) |
| Cursor | stdio | Compatible (same MCP config format) |
| Any MCP stdio client | stdio | Compatible |
Architecture
rekindle/
src/
index.ts MCP server entry point
server.ts Server setup, tool registration (10 tools)
storage/
sqlite.ts SQLite + FTS5, schema migration, sessions
orientation/
types.ts OrientationResult, Gap, ScoreItem
GapDetector.ts Structural gap detection (8 codes)
Scorer.ts Orientation scoring (6 criteria, 100pts)
OrientationService.ts Orchestrator
OrientationRenderer.ts Markdown + JSON output
captures/
types.ts CaptureEntry, StructuredSnapshot, HookInput
CaptureManager.ts Parse, capture, list, read, review tracking
discover-transcript.ts Auto-discover session transcripts
precompact-capture.ts CLI hook entry point
capture-now.ts Manual capture CLI
tools/
boot-report.ts Orientation + open loops + capture awareness
end-session.ts Structured session close + capture warning
list-captures.ts List PreCompact captures
read-capture.ts Read captures in 3 modes
capture-now.ts Model-triggered manual capture
store.ts search.ts list.ts delete.ts update.ts
init/
cli.ts scaffold.ts setup-hooks.ts templates/
Storage: SQLite + FTS5 via better-sqlite3. BM25 ranking boosted by importance. Typed records with type, source, session_id.
Transport: stdio (standard MCP). Works with Claude Code out of the box.
Tests
npm test
101 tests: storage CRUD + FTS5 ranking, orientation domain (gap detection, scoring, service, rendering), capture manager (parsing, limits, review tracking, formatting), hook setup (schema, idempotency), and MCP integration (all 10 tools).
Roadmap
v0.4: "It thinks in networks" β Spreading activation, semantic search via embeddings, gap analysis tooling, eval harness.
License
MIT
