Zero-trust memory toolkit for AI Agents. Pure Python, zero infrastructure, self-defending.
Project description
Your AI remembers every conversation. But โ
- Is someone writing garbage into your memory?
- Did that private info you discussed yesterday leak into a file?
- Context window full โ will you lose what matters?
MOYU is a security-first memory layer for AI Agents. Pure Python, one folder, plug and play. LLM-enhanced features are on by default; no API key? Silent degrade, core memory keeps working.
Install and go:
pip install moyu-memory
moyu quickstart # 5-minute interactive demo, zero config
Three things that make MOYU different
- ๐ก๏ธ Security built in โ Injection detection (regex + 8-class LLM guard), PII redaction, file integrity verification, write burst protection. Security isn't an add-on, it's default.
- โณ Lifecycle on autopilot โ Context compression, forgetting curve, memory merge โ all automatic. No more losing important things when context fills up.
- ๐ง Retrieval + adaptive tuning โ Semantic + keyword + recency + entity hybrid search with configurable weights. Search feedback feeds
moyu tunewhich auto-adjusts weights over time.
๐ Comparison
| Dimension | MOYU | Mem0 | Letta | Zep | Cognee |
|---|---|---|---|---|---|
| Setup | pip, zero config | pip + API Key | Runtime setup | Cloud simple, self-host complex | uv pip install |
| External deps | Storage layer zero-dependency | LLM API + vector DB | LLM API + storage | Self-host needs graph DB | LLM API |
| Security | Injection defense + PII redaction + integrity + zero-trust, on by default | API Key + compliance | Framework isolation | Cloud SOC2/HIPAA | Tenant isolation |
| Retrieval | Semantic+BM25+time+entity, configurable weights + adaptive tuning | Semantic+BM25+entity 3-way fusion | Agent tool pagination | Temporal graph | Graph+vector hybrid |
| Lifecycle | Compression/forgetting/merge/scene classification, fully automatic | ADD-only, no forgetting | 3-tier, auto pagination | Temporal graph auto versioning | Feedback learning, needs config |
| Knowledge Graph | Entity extraction + time-travel + distillation | Pro $249/mo | Indirect (external tools) | Temporal graph, all tiers | Core feature, full OSS |
| Offline | Fully offline | Partial (local embed) | Self-hostable | Self-host only | Fully local |
Bottom line: MOYU excels at security, offline capability, lifecycle management, and configurable retrieval โ areas where alternatives offer little to none. Choose by your scenario, not by feature count.
๐ฎ Who is it for
- Your AI Agent needs persistent memory with real security
- Frequently hit context limits, need auto-compression without losing important content
- Worried about PII leaks โ don't want phone numbers, IDs, API keys in memory files
- Want zero infrastructure โ no Docker, no databases, no signups
๐ฌ Full Capability Index
New here? Start with the "Three things that make MOYU different" section above, then the comparison table.
๐ก๏ธ Defense Layer (10)
| # | Capability | Description |
|---|---|---|
| 1 | Content Security Gate | Pre-write injection blocking โ 516 regex patterns + 8-class LLM recheck |
| 2 | Forensic Analysis | Detect injection patterns, JSON corruption, file tampering |
| 3 | Write Burst Protection | >30 writes/60s โ rollback + 5-min lock |
| 4 | Tool Call Loop Detection | SHA256 fingerprint + exhaustive cycle scan + hard abort |
| 5 | PII Redaction | Bilingual: phones, IDs, bank cards, emails, SSNs, IPs, API keys |
| 6 | Password Verification | Pre-op confirmation + auto-lock after 3 failures (30 min) |
| 7 | Integrity Check & Recovery | SHA256 manifest + daily backups (3-day retention) |
| 8 | User Isolation & Encryption (opt-in) | Per-user directories + AES-256-GCM encryption |
| 9 | LLM Security Guard | Regex-untouched inputs โ LLM verdict (8 classes). Never blocks legitimate writes |
| 10 | Access Behavior Monitoring | Read burst detection (>100 reads/60s โ alert). Every search is tracked. |
๐ง Memory & Retrieval Layer (8) 2 LLM-Enhanced
| # | Capability | Description |
|---|---|---|
| 1 | TEMPR Multi-Strategy Retrieval | Semantic + BM25 + time-weighted + entity, configurable weights |
| 2 | Search Rerank LLM | LLM re-ranks candidates by semantic relevance (on by default, degrades without key) |
| 3 | Smart Summary LLM | Writes auto-refined by LLM โ filler out, facts in |
| 4 | FastEmbed Local Embedding | Local ONNX vectorization, no API needed, auto-degrades to n-gram |
| 5 | SQLite FTS5 + MD5 Dedup | Full-text index + in-memory/batch double dedup |
| 6 | Search Feedback Collection | Explicit votes + implicit ref/correction signals โ feeds adaptive tuning |
| 7 | Adaptive Weight Tuning | moyu tune โ auto-optimizes retrieval weights from feedback data |
| 8 | Auto Memory Extraction | Dual-channel fact extraction from conversation: fast rules (27 patterns, 0 token cost) + LLM (semantic edge cases). Enabled by default on every moyu command. |
๐ Knowledge Layer (3) 1 LLM-Enhanced
| # | Capability | Description |
|---|---|---|
| 1 | Knowledge Graph LLM | Entity extraction + time-travel + relation invalidation + distillation |
| 2 | Workflow Knowledge Base | Markdown indexing + keyword search |
| 3 | User Profile | Auto-extract preferences, habits, facts from conversation |
โณ Lifecycle Layer (4) 3 LLM-Enhanced
| # | Capability | Description |
|---|---|---|
| 1 | Context-Aware Compression + Warning | Two-tier compression, originals preserved, auto-warning before compression |
| 2 | Task Map | Auto-generated Mermaid task graph on wake |
| 3 | Forgetting Curve LLM | Four gates (safety/access/scene/LLM semantic review) + LLM scene classification |
| 4 | Memory Merge LLM | Related memories auto-merged with LLM summary, originals preserved |
๐ Learning & Reflection (2)
| # | Capability | Description |
|---|---|---|
| 1 | Learn from Corrections | Auto-detect correction signals, 3 identical โ permanent behavioral rule |
| 2 | Self-Reflection | Cross-time association, contradiction detection, topic shift analysis |
๐ Integration Layer (5)
| # | Capability | Description |
|---|---|---|
| 1 | Working Memory | Independent file, survives context compression |
| 2 | Cross-Session Bridge | 10-turn summaries + 3-round conversations + state (topic, decisions, pending) auto-synced across sessions. Hermes users: zero-config via prefill. Other agents: add a line to system prompt (see below) |
| 3 | Auto-Update | GitHub release check + TOFU checksum + in-place update |
| 4 | Wake Orchestration | Checkโbackupโforgetโmergeโreflectโcontextโbridge โ fully automatic |
| 5 | Memory Injection | moyu inject โ standardized injection with built-in context warning |
For non-Hermes agents โ add this line to your Agent's system prompt to enable session continuation:
When starting a new conversation, read ~/.moyu/session_state.json and use its content to continue from the previous session's context.
๐ก๏ธ Security Assessment
MOYU's defense chain is a layered deterrent, not a silver bullet. Honest assessment:
| Level | Threat | Coverage |
|---|---|---|
| ๐ข | Accidental misuse (fat-finger, mis-script) | ~90% |
| ๐ข | Script-kiddie injection (known patterns) | ~70% |
| ๐ก | Simple prompt injection (standard variants) | ~65% |
| ๐ | Professional adversarial injection (targeted bypass) | ~25% |
| ๐ | Semantic injection (metaphor, no keywords) | ~60% (LLM layer) |
| ๐ข | Combined defense | 1,769 test cases, 15 attack categories, 0% false positives. Run moyu benchmark --full to reproduce |
๐ Quick Start
One-line install:
pip install moyu-memory
5-minute interactive demo:
moyu quickstart
# โ Auto-stores sample memories, runs injection attack tests,
# โ shows defense chain in action, reports results.
# โ Zero config, no API key needed
Integrate with your Agent:
moyu inject "current conversation topic"
# โ Outputs relevant memories (with context warning), ready for System Prompt injection
Or from your code:
from moyu_toolkit.moyu import inject_context
inject_context("current conversation topic") # Auto-search, format, inject
Copy the toolkit (no pip needed):
pip install -r requirements.txt
Copy the moyu_toolkit/ folder into your project, run python3 moyu.py.
๐ Command Reference
Defense & Security
moyu setup moyu verify moyu unlock moyu check moyu audit moyu init moyu rules moyu protect
moyu benchmark moyu demo-attack moyu doctor moyu mutate
Memory & Retrieval
moyu search <query> moyu search --vote <id> good|bad moyu search --ns <ns>
moyu inject <query> moyu config show moyu config set retrieval.weights.<dim> <val>
moyu tune / --dry-run / --reset moyu stats moyu status
moyu extract <text> moyu extract stats
Knowledge Layer
moyu kg search <entity> moyu kg history <entity> moyu kb search <keyword>
Lifecycle & Context
moyu compress moyu context moyu forget moyu ref <name> moyu snapshot
Learning & Maintenance
moyu learn <text> moyu quickstart moyu reflect moyu setup agents moyu update
Session & Bridge
moyu session state moyu session prompt
moyu session decision <text> moyu session pending <text> moyu session clear
๐ Documentation
- FAQ & Anti-Patterns โ Common pitfalls and solutions
- Python API Integration Guide โ Code examples and integration patterns
๐ File Structure
moyu_toolkit/
โโโ _llm_client.py # Unified LLM client
โโโ agent_memory.py # Vector memory engine + TEMPR retrieval
โโโ agent_memory_sqlite.py # SQLite FTS5 search index
โโโ active_context.py # Working memory
โโโ context_manager.py # Context compression + warning + task map
โโโ forgetting_curve.py # Forgetting curve + LLM review
โโโ memory_merge.py # Memory merge
โโโ knowledge_graph.py # Entity-relation knowledge graph
โโโ knowledge_base.py # Workflow knowledge base
โโโ learner.py # Learn from corrections
โโโ security.py # Password + lockout
โโโ feedback.py # Search feedback collection
โโโ tune.py # Adaptive weight tuning
โโโ quickstart.py # 5-minute interactive demo
โโโ moyu.py # CLI entry point
โโโ moyu_wake.py # Startup pipeline
โโโ defense_toolkit/
โ โโโ integrity_checker.py # File integrity + LLM guard
โ โโโ forensic_patterns.json # 516 injection detection patterns
โ โโโ pii_redactor.py # PII redaction
โโโ tests/
โ โโโ test_all.py # Automated tests
โโโ config.yaml # Configuration
โโโ requirements.txt
๐ License
MIT
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file moyu_memory-2.7.5.tar.gz.
File metadata
- Download URL: moyu_memory-2.7.5.tar.gz
- Upload date:
- Size: 188.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5583badca09d8da9e5ed328927ad500ab154ef568651a565808fcdb796dd4b51
|
|
| MD5 |
6d7394586d288b181239bc155d39a6c9
|
|
| BLAKE2b-256 |
4f344b9dd9411541fe98f7a48edd6493026b002acb8d17ff61b413744a44e0bd
|
File details
Details for the file moyu_memory-2.7.5-py3-none-any.whl.
File metadata
- Download URL: moyu_memory-2.7.5-py3-none-any.whl
- Upload date:
- Size: 206.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d30825e035eebac727aa929b0abe6e9824f0b1c23a8aaec23c0bc66443bbf4d3
|
|
| MD5 |
ed18bbe8caa530428ae03181485dcb5a
|
|
| BLAKE2b-256 |
b5734b61213370a03b946ef01bf238b165c230899a68a39e0e6a80d488dad55b
|