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Kindex

Python 3.10+ MIT License v0.9.0 PyPI Tests Claude Code Plugin

The memory layer Claude Code doesn't have.

Kindex does one thing. It knows what you know.

It's a persistent knowledge graph for AI-assisted workflows. It indexes your conversations, projects, and intellectual work so that Claude Code never starts a session blind. Available as a free Claude Code plugin (MCP server) or standalone CLI.

Memory plugins capture what happened. Kindex captures what it means and how it connects. Most memory tools are session archives with search. Kindex is a weighted knowledge graph that grows intelligence over time — understanding relationships, surfacing constraints, and managing exactly how much context to inject based on your available token budget.

Install as Claude Code Plugin

Two commands. Zero configuration.

pip install kindex[mcp]
claude mcp add --scope user --transport stdio kindex -- kin-mcp
kin init

Claude Code now has 22 native tools: search, add, context, show, ask, learn, link, list_nodes, status, suggest, graph_stats, changelog, ingest, tag_start, tag_update, tag_resume, remind_create, remind_list, remind_snooze, remind_done, remind_check, remind_exec.

Or add .mcp.json to any repo for project-scope access:

{ "mcpServers": { "kindex": { "command": "kin-mcp" } } }

Install as CLI

pip install kindex
kin init

With LLM-powered extraction:

pip install kindex[llm]

With reminders (natural language time parsing):

pip install kindex[reminders]

With everything (LLM + vectors + MCP + reminders):

pip install kindex[all]

Why Kindex

Context-aware by design

Five context tiers auto-select based on available tokens. When other plugins dump everything into context, Kindex gives you 200 tokens of executive summary or 4000 tokens of deep context — whatever fits. Your plugin doesn't eat the context window.

Tier Budget Use Case
full ~4000 tokens Session start, deep work
abridged ~1500 tokens Mid-session reference
summarized ~750 tokens Quick orientation
executive ~200 tokens Post-compaction re-injection
index ~100 tokens Existence check only

Knowledge graph, not log file

Nodes have types, weights, domains, and audiences. Edges carry provenance and decay over time. The graph understands what matters — not just what was said.

Operational guardrails

Constraints block deploys. Directives encode preferences. Watches flag attention items. Checkpoints run pre-flight. No other memory plugin has this.

Cache-optimized LLM retrieval

Three-tier prompt architecture with Anthropic prompt caching. Stable knowledge (codebook) is cached at 10% cost. Query-relevant context is predicted via graph expansion and cached per-topic. Only the question pays full price. Transparent — kin ask just works better and cheaper.

Team and org ready

.kin inheritance chains let a service repo inherit from a platform context, which inherits from an org voice. Private/team/org/public scoping with PII stripping on export. Enterprise-ready from day one.

In Practice

A 162-file fantasy novel vault — characters, locations, magic systems, plot outlines — ingested in one pass. Cross-referenced by content mentions. Searched in milliseconds.

$ kin status
Nodes:     192
Edges:     11,802
Orphans:   3

$ time kin search "the Baker"
# Kindex: 10 results for "the Baker"

## [document] The Baker - Hessa's Profile and Message Broker System (w=0.70)
  → Thieves Guild, Five Marks, Thieves Guild Operations

## [person] Mia and The Baker (Hessa) -- Relationship (w=0.70)
  → Sebastian and Mia, Mia -- Motivations and Goals

0.142 total

$ kin graph stats
Nodes:      192
Edges:      11,802
Density:    0.3218
Components: 5
Avg degree: 122.94

192 nodes. 11,802 edges. 5 context tiers. Hybrid FTS5 + graph traversal in 142ms.

Getting Claude to Actually Use It

Installing the MCP plugin gives Claude the tools. But Claude won't use them proactively unless you tell it to. Kindex ships with a recommended CLAUDE.md block that turns passive tools into active habits:

# Print the recommended directives
kin setup-claude-md

# Or auto-append to your global CLAUDE.md
kin setup-claude-md --install

This adds session lifecycle rules (start/during/segment/end), explicit capture triggers (discoveries, decisions, key files, notable outputs), and search-before-add discipline. The difference between "Claude has a knowledge graph" and "Claude actively maintains a knowledge graph" is this block.

The SessionStart hook (kin setup-hooks) reinforces these directives at the start of every session with a "Session directives" block that reminds Claude to use kindex MCP tools throughout the session.

What gets captured

With the directives active, Claude will:

  • Search the graph before starting work and before adding nodes
  • Add discoveries, decisions, key files, notable outputs, and new terms as they emerge
  • Link related concepts when connections are found
  • Learn from long files and outputs via bulk extraction
  • Tag sessions to track work context across conversations
  • Remind with actions for deferred tasks (shell commands or headless Claude invocations)

Actionable Reminders

Reminders can carry shell commands and/or natural-language instructions. When due, the daemon executes them automatically — simple commands run directly, complex tasks launch headless claude -p. A Stop hook guard blocks Claude from exiting when actionable reminders are pending.

# Kill a cloud instance in 1 hour (but download results first)
kin remind create "Kill vast.ai instance" --at "in 1 hour" \
  --action "vastai destroy instance 12345" \
  --instructions "Download results from /workspace/ before killing"

# Manual trigger
kin remind exec --reminder-id <id>

Quick Start

# Add knowledge (with optional tags)
kin add "Stigmergy is coordination through environmental traces" --tags biology,coordination

# Search with hybrid FTS5 + graph traversal
kin search stigmergy
kin search coordination --tags biology   # filter results by tag

# Ask questions (with automatic classification)
kin ask "How does weight decay work?"

# Get context for AI injection
kin context --topic stigmergy --level full

# List and filter by tags
kin list --tags python,ml              # nodes tagged with both
kin list --type concept --tags ai      # combine type and tag filters

# Track operational rules
kin add "Never break the API contract" --type constraint --trigger pre-deploy --action block

# Check status before deploy
kin status --trigger pre-deploy

# Ingest from all sources
kin ingest all

# Session tags — named work context handles
kin tag start auth-refactor --focus "OAuth2 flow" --remaining "tokens,tests"
kin tag segment --focus "Token storage" --summary "Flow design done"
kin tag resume auth-refactor   # context block for new session
kin tag end --summary "All done"

# Reminders — never forget, never nag
kin remind create "standup" --at "every weekday at 9am" --priority high
kin remind create "reply to Kevin" --at "in 30 minutes" --priority urgent
kin remind list
kin remind snooze --reminder-id <id> --duration 1h
kin remind done --reminder-id <id>

.kin Voice & Inheritance

Companies publish .kin files that encode their communication style, engineering standards, and values. Teams inherit from orgs. Repos inherit from teams. The knowledge graph carries the voice forward.

~/.kindex/voices/acme.kin         # Org voice (downloadable, public)
    ^
    |  inherits
~/Code/platform/.kin              # Platform team context
    ^
    |  inherits
~/Code/payments-service/.kin      # Service-specific context
# payments-service/.kin
name: payments-service
audience: team
domains: [payments, python]
inherits:
  - ../platform/.kin

The payments service gets Acme's voice principles, the platform's engineering standards, AND its own domain context. Local values override ancestors. Lists merge with dedup. Parent directories auto-walk when no explicit inherits is set.

See examples/kin-voices/ for ready-to-use voice templates.

Architecture

SQLite + FTS5          <- primary store and full-text search
  nodes: id, title, content, type, weight, audience, domains, extra
  edges: from_id, to_id, type, weight, provenance
  fts5:  content synced via triggers

Retrieval pipeline:
  FTS5 BM25 --+
  Graph BFS --+-- RRF merge -- tier formatter -- context block
  (vectors) --+                   |
                          full | abridged | summarized | executive | index

LLM cache tiers (kin ask):
  Tier 1: codebook (stable node index)     <- cached @ 10% cost
  Tier 2: query-relevant context           <- cached per-topic @ 10% cost
  Tier 3: user question                    <- full price, tiny

Reminders:
  reminders table (SQLite)    <- separate from knowledge graph
  Time parsing:  dateparser (NL) + dateutil.rrule (recurrence) + cronsim (cron)
  Channels:      system (macOS) | slack | email | claude (hook) | terminal
  Daemon:        launchd/cron adaptive interval -> check due -> notify -> auto-snooze
  Scheduling:    adaptive tiers (>7d=daily, >1d=hourly, >1h=10min, <1h=5min, none=disabled)
  Actions:       shell commands run directly | complex tasks launch claude -p
  Stop guard:    blocks session exit when actionable reminders pending

Three integration paths:
  MCP plugin --> Claude calls tools natively (search, add, learn, remind, ...)
  CLI hooks  --> SessionStart / PreCompact / Stop lifecycle events
  Adapters   --> Entry-point discovery for custom ingestion sources

Node Types

Knowledge: concept, document, session, person, project, decision, question, artifact, skill

Operational: constraint (invariants), directive (soft rules), checkpoint (pre-flight), watch (attention flags)

CLI Reference (47 commands)

Core

Command Description
kin search <query> Hybrid FTS5 + graph search with RRF merging (--tags, --mine)
kin context Formatted context block for AI injection (--level, --tokens)
kin add <text> Quick capture with auto-extraction and linking (--tags, --type)
kin show <id> Full node details with edges, provenance, and state
kin list List nodes (--type, --status, --tags, --audience, --mine, --limit)
kin ask <question> Question classification + LLM or context answer

Knowledge Management

Command Description
kin learn Extract knowledge from sessions and inbox
kin link <a> <b> Create weighted edge between nodes
kin alias <id> [add|remove|list] Manage AKA/synonyms for a node
kin register <id> <path> Associate a file path with a node
kin orphans Nodes with no connections
kin trail <id> Temporal history and provenance chain
kin decay Apply weight decay to stale nodes/edges
kin recent Recently active nodes
kin tag [action] Session tags: start, update, segment, pause, end, resume, list, show
kin remind [action] Reminders: create, list, show, snooze, done, cancel, check, exec

Graph Analytics

Command Description
kin graph [mode] Dashboard: stats, centrality, communities, bridges, trailheads
kin suggest Bridge opportunity suggestions (--accept, --reject)
kin skills [person] Skill profile and expertise for a person
kin embed Index all nodes for vector similarity search

Operational

Command Description
kin status Graph health + operational summary (--trigger, --owner, --mine)
kin set-audience <id> <scope> Set privacy scope (private/team/org/public)
kin set-state <id> <key> <value> Set mutable state on directives/watches
kin export Audience-aware graph export with PII stripping
kin import <file> Import nodes/edges from JSON/JSONL (--mode merge/replace)
kin sync-links Update node content with connection references

Ingestion & External Sources

Command Description
kin ingest <source> Ingest from: projects, sessions, files, commits, github, linear, all
kin cron One-shot maintenance cycle (for crontab/launchd)
kin watch Watch for new sessions and ingest them (--interval)
kin analytics Archive session analytics and activity heatmap
kin index Write .kin/index.json for git tracking

Infrastructure

Command Description
kin init Initialize data directory
kin config [show|get|set] View or edit configuration
kin setup-hooks Install lifecycle hooks into Claude Code
kin setup-cron Install periodic maintenance (launchd/crontab)
kin setup-claude-md Output/install recommended CLAUDE.md kindex directives
kin stop-guard Stop hook guard for actionable reminders
kin doctor Health check with graph enforcement (--fix)
kin migrate Import markdown topics into SQLite
kin budget LLM spend tracking
kin whoami Show current user identity
kin changelog What changed (--since, --days, --actor)
kin log Recent activity log
kin git-hook [install|uninstall] Manage git hooks in a repository
kin prime Generate context for SessionStart hook (--codebook)
kin compact-hook Pre-compact knowledge capture

Configuration

Config is layered like git — global defaults, then global config, then local config. Each layer deep-merges over the previous, so you only set what you want to override.

Layer Path Purpose
Global ~/.config/kindex/kin.yaml User-wide defaults
Local .kin or kin.yaml in cwd Project-specific overrides

Use kin config set --global llm.enabled true for global settings, or kin config set llm.model claude-sonnet-4-6 for project-local.

data_dir: ~/.kindex

llm:
  enabled: false
  model: claude-haiku-4-5-20251001
  api_key_env: ANTHROPIC_API_KEY
  cache_control: true              # Prompt caching (90% savings on repeated prefixes)
  codebook_min_weight: 0.5         # Min node weight for codebook inclusion
  tier2_max_tokens: 4000           # Token budget for query-relevant context

budget:
  daily: 0.50
  weekly: 2.00
  monthly: 5.00

project_dirs:
  - ~/Code
  - ~/Personal

defaults:
  hops: 2
  min_weight: 0.1
  mode: bfs

reminders:
  enabled: true
  check_interval: 300            # 5 min base interval
  adaptive_scheduling: true      # adjust interval based on nearest reminder
  min_interval: 300              # floor for adaptive scheduling
  default_channels: [system]     # system, slack, email, claude, terminal
  snooze_duration: 900           # 15 min default snooze
  auto_snooze_timeout: 300       # auto-snooze after 5 min inaction
  idle_suppress_after: 600       # suppress if idle > 10 min
  channels:
    slack:
      enabled: false
      webhook_url: ""
    email:
      enabled: false
      smtp_host: ""
      to_addr: ""

Development

make dev          # install with dev + LLM dependencies
make test         # run 591 tests
make check        # lint + test combined
make clean        # remove build artifacts

License

MIT

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Knowledge index that learns from your conversations

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