AI knows HOW to build.
But not WHAT to build.
PlugBoot bridges the gap between high-powered LLMs and long-term roadmap priorities. Provide a continuous, structured, multi-session context layer that steers autonomous agents reliably.
0ms
CONTEXT SETUP DELAY
92.5%
PROMPT FOOTPRINT REDUCTION
100%
AGENT RULE COMPLIANCE
Your AI is a genius with short-term amnesia.
Every single developer chat session starts from absolute zero. You spend 80% of your prompt window copying and pasting architectural files, explaining business logic, and reiterating prior decisions. As your code grows, your context window overflows, and your agent begins to hallucinate.
❌ Ephemeral Chat Sessions
Prior decisions, file paths and architectural guidelines dissolve the second you hit "New Chat".
❌ Context Overload Fatigue
Feeding raw directory dumps to LLMs wastes valuable tokens and degrades reasoning performance.
❌ No Long-Term Prioritization
AI tools lack strategic boundaries. They write code without knowing why or what comes next.
One continuous workspace. Persistent context.
Establish a robust context architecture. Your AI agent works as a persistent collaborator that tracks specifications, design rules, and active goals.
Active Missions Board
Standard, research, and evolution missions are structured as raw machine-readable lists, preventing agent navigation loops.
Evolving Pillars
Establish core architecture rules, database schemas, and brand tokens that persistent daemons feed to downstream model API queries automatically.
Capability Tree
Prune prompt size dynamically by switching off idle API toolboxes. The agent only gets specs for the active task.
Try the Real-Time Context Compiler
Select a raw signal input on the left to watch how the distillation engine parses code semantics and formats structured mission blocks.
Engineered for developer autonomy.
SSE Live Logs Sync
Stream system edits, background daemon tasks, and compilation results directly to the browser with zero polling lag.
[16:48:33] [SYS] updated board index
[16:48:34] [AI] objective verified
Markdown Context Board
Keep manual human-in-the-loop oversight. Quickly read, modify, or draft specifications inside our persistent markdown editor fields directly.
Encrypted Credentials
Securely proxy and load private API tokens locally. Safeguard secrets from client leaks while maintaining high-rate model compilation limits.
Multi-LLM Engines
Optimized presets for standard Gemini 2.5 Flash speed and Gemini 2.5 Pro reasoning layers. Toggle engines depending on workspace focus.
Interactive Distiller Flow Demo
Experience how unstructured customer feedback compiles into structured specifications using our live, client-side Distiller pipeline wizard.
⚡Interactive Context Pipeline Demo
Type an idea or problem below, then click **Distill Spec** to execute the pipeline. The AI will translate it into structured agent specs in real time.
1. Ingest Raw Signal
Drop unstructured user feedback, support tickets, ideas, or meeting transcripts.
2. PM Interview / Distill
AI parses and refines raw text against workspace pillars and engineering rules.
3. Distilled Spec
Generates a clean, developer-agent-optimized mission specification outline.
4. Mission Created
An active standard mission is injected directly into the YAML control file.
Scalable options for any scope.
$0
Perfect for prototyping persistent context flows locally.
- ✓ 1 Active Entity Workspace
- ✓ Up to 10 Active Missions
- ✓ Basic Rete.js Graph Displays
- ✗ Cloud Database Syncing
$29/mo
Continuous cloud syncing and multi-agent context coordination.
- ✓ Unlimited Active Workspaces
- ✓ Unlimited Standard & Research Missions
- ✓ Live SSE Ingestion & Log Timelines
- ✓ Persistent Gemini Distiller Pipeline
Custom
Custom deployment behind corporate VPNs or private VPC clouds.
- ✓ Single-tenant private cloud instances
- ✓ Custom LLM router gateways
- ✓ Dedicated Slack & Discord webhook bots
- ✓ Custom SLA response covenants
Frequently Asked Questions
"PlugBoot reduced our context-setting time from 15 minutes per session to absolute zero. Our developer agents are finally acting like professional engineers who remember what we built yesterday."