Manage Context. Close Loops. Do More.
Built for neurodivergent thinkers, sporadic thought patterns, and busy schedules. Your mind doesn't work in straight lines—your tools shouldn't force you to either.
FreshContext is a chat-first platform built for minds that think in networks, not lists.
It's an integrated system for knowledge extraction, storage, and actionable intelligence combining conversational AI, knowledge graphs, vector search, and workflow automation. It works with your natural thinking patterns instead of forcing rigid structure.
Talk naturally with FreshBot. No special commands or rigid formats. Just conversation.
FreshLink identifies when topics or ideas come up repeatedly. Gentle surfacing, not urgent alerts.
You decide what gets remembered. Bank important ideas with priority weighting. FreshMap stores it all in a knowledge graph.
Convert patterns to tasks when you are ready. FreshLoops tracks commitments until closure. FreshFlows automates the repetitive parts.
The system follows a simple flow: Chat leads to Pattern Detection, which enables Consensual Memory, which creates Loops and Actions.
Designed for neurodivergent thinking patterns.
See how FreshBot handles deep research, strategic planning, and natural topic drift - all while maintaining context and detecting patterns. This example shows a real conversation flow where ideas connect organically.
Let's explore this together. What's driving the pivot thought? I can help you:
Where would you like to start?
🔎 Deep Research Mode
Coordinating Scout Agent + Librarian Agent...
Competitive Landscape (3 key players):
1. Notion AI
2. Mem.ai
3. Reflect.app
Market Gap I'm seeing: None combine conversational interface + pattern detection + workflow automation + multi-agent orchestration like we're planning.
Sources: 14 articles, 3 product demos, 47 user reviews analyzed
💭 PATTERN DETECTED
You've mentioned "AI" and "knowledge" together 4 times this week. Related to your product roadmap discussions?
📋 6-Month Product Roadmap Draft
Month 1-2: Foundation
Month 3-4: Core Features
Month 5-6: Intelligence Layer
Want me to create tasks for Month 1 to get started?
🔍 Searching conversation history...
Found it! From 3 days ago:
📧 Sarah Chen (TechFlow Inc) asked about:
You mentioned wanting to follow up "early next week" - that's today. Want me to draft a response?
⚡ Workflow: "Draft Customer Email"
✓ Retrieve conversation context (Sarah Chen + TechFlow)
✓ Fetch pricing database (50-100 user tier)
✓ Check roadmap for multi-tenant ETA
✓ Verify SAML SSO status (shipped v2.1)
✓ Generate personalized draft...
📝 Draft Ready:
Hi Sarah,
Thanks for your patience! Here's what you asked about:
Pricing: For 50-100 users, we offer $25/user/month (annual) with volume discounts available.
Multi-tenant: Launching in Q2 2025 (currently in beta testing).
SAML SSO: ✅ Shipped in v2.1 - fully supported.
Happy to schedule a demo to walk through these features. Does next Tuesday work?
Ready to send or want me to revise?
✅ Email sent to Sarah Chen
We were drafting your 6-month product roadmap. I had just outlined the 3 phases and asked if you wanted me to create Month 1 tasks.
Shall we continue with that, or was there something else on your mind?
💡 This conversation has covered: competitive research → roadmap planning → email follow-up. I'm tracking all of this in your knowledge graph.
FreshEngine is a modular system where each component handles a specific aspect of knowledge management and workflow automation. Together, they create an integrated environment for capturing context, detecting patterns, and closing loops.
Multi-agent orchestration powered by CrewAI and PydanticAI. Handles research, task automation, and intelligent conversation.
Temporal knowledge graphs using Graphiti and FalkorDB. Tracks relationships and context over time.
Pattern detection without pressure. Identifies recurring themes and surfaces them gently.
Task tracking with escalating reminders. Only for explicit commitments you choose to make.
Workflow automation for background processes and integrations.
Production-ready tools for search, scraping, storage, embeddings, and vector search.
R&D facility where experiments graduate to production with 97%+ test pass rates.
Context refinement. Summarisation and compression to keep information manageable.
Observability and monitoring. Tracks system health and agent behavior.
Built on proven open-source technologies and designed to work with your existing tools.
FreshContext respects your flow states and thinking patterns. No pressure, just intelligent awareness. Manage Context. Close Loops. Do More.