Deploy, secure, and scale autonomous AI agents across Telegram, Discord, WhatsApp, and email. 9 inference backends. Declarative security policies. Full audit trails. Your infrastructure, your rules.
The pureclaw CLI
gives you direct control over your agent from the terminal. Start channels,
manage observers, validate security policies, check status.
Launch the agent with your chosen engine. All channels, observers, and security modules boot in seconds.
Live view of running observers, active channels, engine health, and policy state. One glance, full picture.
Validate and hot-reload security policies without restarting. Lint YAML, test rules, preview enforcement.
Multi-channel ingress, pluggable inference backends, autonomous monitoring, and a heuristic dispatcher for sub-second data retrieval.
9 backends across 3 tiers: local GPU (vLLM, Ollama), cloud API (Anthropic, Bedrock, Gemini), and CLI agents (Claude Code, Codex, Gemini CLI). Hybrid router for automatic failover. Switch with one environment variable.
Telegram, Discord, WhatsApp, and Email. Each channel maintains isolated sessions with persistent context. Voice input via Whisper transcription. Human-in-the-loop approval for outbound actions.
22 autonomous cron-scheduled monitors running in a ThreadPoolExecutor. Email digest, morning brief, cyber threat feeds, git security audit, Darwin rail data consumer, infrastructure health, and daily reporting.
10 pre-LLM data APIs for sub-second structured responses. Weather, markets, crypto, forex, gold, trains, Darwin, commute, infrastructure, and system status. Regex-matched commands bypass inference entirely.
6 security modules. Declarative YAML policies with hot-reload. Full audit trails. 104 security-specific tests.
Declarative YAML security policies. Define allowed commands, filesystem paths, network destinations, and inference constraints. Hot-reload without restart. Draft policy recommendations generated from denied actions.
Structured logging of every agent action, tool invocation, and policy decision. Denial aggregation with frequency analysis. Exportable compliance records for regulatory review.
Automatic detection and redaction of API keys, tokens, passwords, and secrets in agent output and logs. Pattern-based scanning before any content reaches channels or storage.
Network-level controls preventing server-side request forgery. Allowlist and denylist for outbound connections. Internal network ranges blocked by default. All egress logged.
Path-level access control for agent file operations. Define readable, writable, and forbidden paths in policy YAML. Prevents lateral movement across filesystem boundaries.
Controls over model selection, token limits, and prompt injection defences. Restrict which models the agent can invoke. Rate limiting and cost controls for API-backed engines.
Local GPU, cloud API, or CLI agents. Switch with one environment variable or a tap in Telegram. Hybrid router for automatic failover.
Install, init, start. Runs as a systemd service or Kubernetes pod with full observability.
Security controls, audit trails, and policy enforcement designed to meet the requirements of regulated environments.
Policy engine, audit logging, access controls, and incident recording aligned with ISMS requirements.
Boundary firewalls (SSRF protection), access control (filesystem ACLs), secure configuration (YAML policies), malware protection (credential redaction).
Self-hosted deployment model. Full audit trail export. Policy-as-code for reproducible security posture. Open source for transparency.
No data leaves your infrastructure. No analytics, tracking, or usage reporting. MIT licensed. Fully auditable source code.
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