Clawpy.
Clawpy.
Tell Clawpy what outcomes you want. It builds a specialized AI swarm with tri-layer memory, strict hardware sandboxing, and autonomous cost-controlling guardians to run your operations 24/7.
Compatible with the world's leading foundation models
Clawpy is engineered with robust isolation and memory systems, letting you deploy specialized agents with confidence.
Memories stay fresh based on usage. Clawpy manages structured factual memory across three layers: Markdown (Obsidian-ready) for human readability, SQLite (FTS5) for exact keyword lookups, and ChromaDB for semantic retrieval, all sorted by MMR relevance and a 4-tier Ebbinghaus decay model.
Complete execution safety. Clawpy runs all tools inside isolated Docker-out-of-Docker (DooD) quarantine containers with zero network or host files access, keeping your environment 100% secure.
Agents aren't just reactive chat prompts. Armed with APScheduler, Clawpy swarms execute background cron routines persistently—polling API states, updating codebases, and auditing security logs.
Connect distinct AI servers seamlessly. The Agent Communication Protocol (ACP) S2S Bridge allows independent Clawpy nodes to pair securely using a 6-digit PIN and pass HMAC-signed envelopes to coordinate tasks asynchronously.
See how Clawpy's Python-first autonomous architecture stacks up against traditional agent setups.
| Capability | 🦀 Clawpy | OpenClaw | Agent Zero | Paperclip |
|---|---|---|---|---|
|
Core Runtime
Primary execution stack & framework API.
|
Python / FastAPI
Full async endpoints + EventBus
|
Python / TS mixed | Python script | Node / TS webapp |
|
Memory Architecture
How long-term facts & context are managed.
|
Tri-Layer + Decay
Obsidian MD, SQLite keyword + ChromaDB, with Ebbinghaus Decay
|
Single Vector DB | Local txt files | In-memory / Chroma |
|
Sandbox Isolation
Isolation of generated tool-calling code.
|
Strict DooD Container
Docker-out-of-Docker quarantined environments
|
OS Process level | Docker or Local | None (Host shell) |
|
Multi-Node S2S Bridging
Pairing and task delegation across VPS systems.
|
ACP PIN + HMAC
6-digit secure pairing, message envelopes signed via HMAC-SHA256
|
None | None | None |
|
Token Cost Control
Cost optimization & proactive guardrails.
|
Guardian Local Wake
Wakes cloud LLMs only on verified work requests; up to 90% savings
|
Ad-hoc limits | Loop exit constraints | Manual pause |
|
Autonomy Loop
Persistency of agent tasks.
|
Proactive Cron Loop
Runs 24/7 background tasks via APScheduler, not just reactive chat replies
|
Reactive Chat Loop | Scripted Loop | Static Sim cycles |
|
Workflow & Media Pipelines
Ready-to-run business pipelines.
|
Built-in (Content/Dev)
Scrape -> script -> ComfyUI local render -> YouTube/TikTok post
|
Codebase-only APIs | Generic tools | Mock dashboards |
Single-session AI demos collapse under real-world engineering work. Clawpy was architected from the ground up to survive multi-step, multi-hour autonomous execution.
Work is decomposed into small, verifiable units. Each sub-agent receives a narrow, bounded objective with explicit success criteria — eliminating drift, infinite loops, and speculative rewrites that plague standard agents.
Context isn't just a prompt — it's a structurally engineered environment. Persistent memory, active plans, coding conventions, and past-action summaries are loaded dynamically so agents comprehend the full picture, not just the last message.
Generation is easy; correctness is hard. Every step is validated through automated tests, type-checking, and structured error reporting before the system advances — closing the control loop that chat-based agents leave wide open.
Leverage Clawpy's seven permanent Matrix identities to orchestrate specialized tasks with full context and isolation.
Conversational router, operator helper, calendar coordinator, and workspace gateway.
Drives business intelligence, finance models, growth strategy, and executive reviews.
CISO, prevents prompt injections, handles action gating, and manages secure sandbox policies.
Architects software systems, executes command terminal scripts, and builds codebases.
Produces dynamic content, video rendering pipelines, and directs publishing workflows.
Scrapes competitor data, deduplicates signals, and structures Obsidian knowledge graphs.
Audits release gates, performs post-work verification, and runs codebase tests.