Clawtext Ingest

Multi-source memory ingestion with Discord support, automatic deduplication, and agent-ready patterns

ClawText Ingest — Production-Ready Memory Ingestion

Version: 1.3.0 | License: MIT | Status: Production ✅
Author: ragesaq | Category: Memory & Knowledge Management
GitHub: https://github.com/ragesaq/clawtext-ingest

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🎯 What It Does

ClawText Ingest transforms external data (Discord forums, files, URLs, JSON, text) into structured, deduplicated memories for AI agents.

The Problem It Solves

• ❌ Manual ingestion — Tedious, error-prone, no metadata
• ❌ Duplicate memories — Same data ingested multiple times
• ❌ Unstructured data — No hierarchy, no context preservation
• ❌ One-time imports — No recurring/scheduled ingestion
• ❌ Discord-specific gaps — Can't preserve forum post↔reply structure

The Solution

✅ One command imports from Discord, files, URLs, or JSON
✅ 100% idempotent — Run 1000x, zero duplicates
✅ Automatic metadata — YAML frontmatter with date, project, type, entities
✅ 6 agent patterns — Autonomous workflows documented and ready
✅ Discord-native — Forum hierarchy preserved, progress bars, auto-batch mode

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✨ Key Features

🎯 Discord Integration (New in v1.3.0)

• Forum + Channel + Thread support
• Hierarchy preservation — Post↔reply structure in metadata
• Real-time progress — Live feedback for large ingestions
• Auto-batch mode — <500 posts: full, ≥500 posts: streaming
• One-command setup — 5-minute bot creation

📁 Multi-Source Ingestion

• Files — Glob patterns (Markdown, text, etc.)
• URLs — Single or bulk URL ingestion
• JSON — Chat exports, API responses
• Raw text — Quick knowledge capture
• Batch operations — Unified ingestion from multiple sources

🔄 Deduplication & Safety

• SHA1-based — Cryptographic hash matching
• 100% idempotent — Safe for repeated runs
• Configurable — checkDedupe: true/false per operation
• Zero data loss — Failed items tracked, fallback per-item ingestion
• Hash persistence — .ingest_hashes.json for cross-session tracking

🤖 Agent-Ready

• 6 documented patterns — Direct API, Discord Agent, CLI, Cron, Batch, Thread
• Working code examples — Copy-paste ready
• Real-world patterns — GitHub sync, Discord monitoring, team decisions
• Error handling — Comprehensive error recovery
• Progress callbacks — Track ingestion in real-time

🛠️ Developer-Friendly

• CLI tool — clawtext-ingest + clawtext-ingest-discord commands
• Node.js API — Simple imports for programmatic use
• TypeScript-ready — Clear method signatures
• Extensible — Custom transforms, field mapping
• Well-documented — 11 guides, 20+ examples

🔗 ClawText Integration

• Automatic cluster indexing — New memories indexed after rebuild
• RAG injection — Relevant context injected into agent prompts
• Project routing — Organize memories by project/source
• Entity linking — Auto-extract and link related entities

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🚀 Quick Start

Installation

# Via npm
npm install clawtext-ingest

# Via OpenClaw
openclaw install clawtext-ingest

Discord Ingestion (5 minutes)

# 1. Set up Discord bot (see DISCORD_BOT_SETUP.md)
# 2. Get bot token, set DISCORD_TOKEN env var

# 3. Inspect forum
clawtext-ingest-discord describe-forum --forum-id FORUM_ID --verbose

# 4. Ingest with progress
DISCORD_TOKEN=xxx clawtext-ingest-discord fetch-discord --forum-id FORUM_ID

# 5. Rebuild ClawText clusters
clawtext-ingest rebuild

File Ingestion

clawtext-ingest ingest-files --input="docs/*.md" --project="docs"

Node.js API

import { ClawTextIngest } from 'clawtext-ingest';

const ingest = new ClawTextIngest();

// Ingest files
await ingest.fromFiles(['docs/**/*.md'], { project: 'docs', type: 'fact' });

// Ingest JSON
await ingest.fromJSON(chatArray, { project: 'team' }, {
  keyMap: { contentKey: 'message', dateKey: 'timestamp', authorKey: 'user' }
});

// Rebuild clusters for RAG injection
await ingest.rebuildClusters();

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🤖 Agent Integration (6 Patterns)

Pattern 1: Direct API

For: In-agent code
Use when: Agents need to ingest as part of workflow

const ingest = new ClawTextIngest();
await ingest.fromFiles(['docs/**/*.md'], { project: 'docs' });

Pattern 2: Discord Agent

For: Autonomous Discord ingestion
Use when: Agents need to fetch Discord forums

const runner = new DiscordIngestionRunner(ingest);
await runner.ingestForumAutonomous({
  forumId, mode: 'batch', token: process.env.DISCORD_TOKEN
});

Pattern 3: CLI Subprocess

For: Agents executing commands
Use when: Simpler CLI-based execution needed

await execAsync('clawtext-ingest-discord fetch-discord --forum-id ID');

Pattern 4: Cron/Scheduled

For: Recurring tasks
Use when: Daily/hourly ingestion needed

cron.schedule('0 * * * *', () => agentIngest());

Pattern 5: Batch Multi-Source

For: Unified ingestion
Use when: Multiple sources in one operation

await ingest.ingestAll([
  { type: 'files', data: ['docs/**/*.md'], metadata: {...} },
  { type: 'json', data: chatExport, metadata: {...} }
]);

Pattern 6: Discord Thread

For: Thread-specific ingestion
Use when: Single thread fetch needed

await runner.ingestThread(threadId);

→ See AGENT_GUIDE.md for complete examples

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📊 Real-World Examples

Example 1: Daily Documentation Sync

async function syncDocsDaily() {
  const ingest = new ClawTextIngest();
  const result = await ingest.ingestAll([
    { type: 'files', data: ['docs/**/*.md'], metadata: { project: 'docs' } },
    { type: 'urls', data: ['https://docs.example.com/api'], metadata: { project: 'api-docs' } }
  ]);
  await ingest.rebuildClusters();
  return result;
}

Example 2: Discord Forum Monitoring

async function monitorDiscordForum(forumId) {
  const ingest = new ClawTextIngest();
  const runner = new DiscordIngestionRunner(ingest);
  
  const result = await runner.ingestForumAutonomous({
    forumId,
    mode: 'batch',
    token: process.env.DISCORD_TOKEN,
    onProgress: (p) => console.log(`${p.percent}% complete...`)
  });
  
  return result;
}

Example 3: Team Decisions Ingestion

async function ingestTeamDecisions() {
  const ingest = new ClawTextIngest();
  
  const result = await ingest.ingestAll([
    { type: 'files', data: ['decisions/adr/**/*.md'], metadata: { type: 'adr' } },
    { type: 'json', data: slackThread, metadata: { type: 'decision', source: 'slack' } }
  ]);
  
  await ingest.rebuildClusters();
  return result;
}

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🛒 CLI Commands

clawtext-ingest — File/URL/JSON/Text Ingestion

clawtext-ingest ingest-files --input="docs/*.md" --project="docs" --verbose
clawtext-ingest ingest-urls --input="https://example.com" --project="research"
clawtext-ingest ingest-json --input=messages.json --source="slack"
clawtext-ingest ingest-text --input="Finding: X is better than Y" --project="findings"
clawtext-ingest batch --config=sources.json
clawtext-ingest rebuild
clawtext-ingest status

clawtext-ingest-discord — Discord Integration

# Inspect forum
clawtext-ingest-discord describe-forum --forum-id FORUM_ID --verbose

# Fetch & ingest
DISCORD_TOKEN=xxx clawtext-ingest-discord fetch-discord \
  --forum-id FORUM_ID \
  --mode batch \
  --batch-size 100 \
  --verbose

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📚 Documentation

Document	Purpose	Read Time
README.md	Overview + quick start	5 min
QUICKSTART.md	5-minute setup	5 min
AGENT_GUIDE.md	6 autonomous patterns	10 min
API_REFERENCE.md	Complete API docs	15 min
PHASE2_CLI_GUIDE.md	CLI commands	10 min
DISCORD_BOT_SETUP.md	Bot creation	5 min
CLAYHUB_GUIDE.md	Publication	5 min
INDEX.md	Documentation index	2 min

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🎯 Who Should Use This

• ✅ AI/Agent developers — Building knowledge-aware agents
• ✅ RAG engineers — Populating memory for context injection
• ✅ Teams using Discord — Leveraging Discord as knowledge base
• ✅ DevOps/MLOps — Automated knowledge ingestion pipelines
• ✅ Researchers — Structuring unstructured data sources

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⚡ Performance

Operation	Speed	Notes
Ingest 100 files	~5 sec	With SHA1 dedup check
Ingest 1000 JSON items	~15 sec	Batch processing
Small forum (<100 msgs)	~10 sec	Full mode
Large forum (1000+ msgs)	~2 min	Auto-batch, streaming
Rebuild clusters	~5-30 sec	Depends on total memories

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✅ Quality Metrics

Metric	Value
Tests	22/22 passing ✅
Code	1,254 production lines
Documentation	92 KB across 11 guides
Examples	20+ working examples
Coverage	100% critical paths

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🔗 Integration with ClawText

1. Ingest data → Creates memories with YAML metadata
2. Rebuild clusters → ClawText indexes new memories
3. RAG layer → Relevant context injected on next prompt
4. Agent response — Enhanced with contextual information

# Complete workflow
clawtext-ingest-discord fetch-discord --forum-id ID  # Step 1
clawtext-ingest rebuild                               # Step 2
# Step 3-4 automatic (ClawText + Agent)

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🆘 Support

• Documentation: See INDEX.md for navigation
• Issues: https://github.com/ragesaq/clawtext-ingest/issues
• Examples: 20+ examples in documentation
• Troubleshooting: Built into each guide

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📦 Installation & Requirements

Requirements:

• Node.js ≥ 18.0.0
• OpenClaw (for agent patterns)
• ClawText ≥ 1.2.0 (for RAG integration)

Installation:

npm install clawtext-ingest
# or
openclaw install clawtext-ingest

Binaries:

• clawtext-ingest — File/URL/JSON ingestion
• clawtext-ingest-discord — Discord integration

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🚀 Why This Over Alternatives

Feature	ClawText-Ingest	Manual	Generic Importer	API Tool
Discord native	✅	❌	❌	❌
Deduplication	✅	❌	Partial	❌
Agent patterns	✅	❌	❌	❌
Metadata auto	✅	❌	Partial	❌
ClawText integration	✅	❌	❌	❌
Idempotent	✅	❌	❌	Partial

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📄 License

MIT — Use freely, open source, community supported

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🙌 Contributing

Contributions welcome! See GitHub issues for current priorities.

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Ready to ingest? Start with QUICKSTART.md (5 min) or AGENT_GUIDE.md if you're building agents.