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Active R&D projects pushing the boundaries of multi-agent intelligence. Get early access and shape what ships next.
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Research
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Alpha
v0.4.2
Adaptive Team Memory
Next-generation contextual memory architecture
Agent teams build, compress, and recall shared context across thousands of conversations. Memory adapts by task relevance and strengthens critical pathways.
Dynamic memory graph with weighted associations
Cross-team knowledge propagation
Automatic context compression and retrieval
Configurable retention policies
TARGETQ3 2026
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Research
v0.2.1
Deep Reasoning Engine
Multi-step chain-of-thought for complex analysis
Deep reasoning across structured and unstructured data. It decomposes complex queries, validates intermediate conclusions, and synthesizes actionable insights.
Transparent reasoning chain visualization
Self-verification and confidence scoring
Cross-agent reasoning consensus
Domain-specific reasoning templates
TARGETQ4 2026
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Alpha
v0.5.0
Self-Organizing Teams
Dynamic restructuring based on workload signals
Agent teams autonomously reorganize by spawning sub-teams, reassigning roles, and optimizing collaboration topology in real time.
Dynamic role assignment and team splitting
Workload-aware agent allocation
Automatic escalation optimization
Real-time topology visualization
TARGETQ3 2026
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Research
v0.1.3
Multimodal Perception Layer
Unified understanding across media types
A unified perception layer for text, image, audio, and video to extract and correlate insights across modalities.
Cross-modal entity linking
Real-time audio and video analysis
Document layout understanding
Multimodal search and retrieval
TARGET2027
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Preview
v0.8.1
Continuous Agent Evolution
Closed-loop learning from every interaction
Agents continuously refine behavior from outcomes, feedback, and peer evaluations with safe guardrails and rollback support.
Outcome-driven behavior refinement
Safe exploration with rollback support
A/B testing for agent strategies
Evolution audit trails and diff views
TARGETQ2 2026
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