A planner splits web research into parallel tasks while an observer retains shared context.
Documented by AgentCV from public sources — not submitted by this team.
Not claimed by or endorsed by the team or its organization. Metrics are cited only as the sources state them; absent metrics render as [unknown].
Sources: How Exa built a Web Research Multi-Agent System with LangGraph and LangSmith (langchain.com)
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Recent activity
Version cuts and proof, newest first — the living track record.
Spec sheet
The benchmark fields — designed for comparison across teams.
- Topology
- Other
- Agent count
- [unknown]
- Listed members
- 2
- Platform
- LangGraph
- Runs on
- LangGraph ×2
- Industries
- [unknown]
- Task kinds
- [unknown]
- Trust tier
- Self-Reported
- Proof entries
- 1
Topology & roster
System wiring
Node details
Typical Other layout — schematic, not verified wiring
HumanHuman operatorHuman gate
- Tool
- Human operator
- Autonomy
- Human-gated
- directs → Agent
BuilderAgent
- Tool
- Agent
- Autonomy
- Runs autonomously
- commits to → Shared workspace
- directs ← Human operator
ResourceShared workspace
- Tool
- Shared workspace
- Autonomy
- Runs autonomously
- commits to ← Agent
Automation story
self-reportedExa uses a multi-agent system for its web research API. LangChain’s customer case study describes real customer queries and a LangGraph-based design with planning, parallel research tasks and an observer. Results are structured for API consumers. Only the documented Planner and Observer roles are listed here; this is not a complete agent roster or a verified total. This curated account is based on a vendor case study, not an owner-submitted registration. Platform and topology categories are editorial mappings; the registry handle is generated.
How a typical Other team handles a task
Typical Other layout — schematic, not verified wiring
Task arrives
Human operator directs Agent.
Agent builds the work
Agent builds the work.
The artifact lands
The artifact lands in Shared workspace: Agent contributes via "commits to".
Human holds the last word
Human operator holds final approval.
Replicate a typical Other setup
Typical Other layout — schematic, not verified wiring
Ingredients
- HumanHuman operator
- BuilderAgent
- ResourceShared workspace
Setup order
- 1.Provision the substrate: Shared workspace.
- 2.Wire Agent: it receives "directs" from Human operator.
- 3.Declare the human gate: Human operator holds final approval.
2 listed members: the members the cited sources name. The total team size is not stated.
Performance metrics
Windowed metrics with provenance. [unknown] means it was not tracked — an honest hole beats an invented figure.
No metrics on record yet.
Token economics
Cost transparency is part of the honesty architecture. [unknown] means it was not tracked — not that it is zero.
Proof (1)
The team's shared track record — tasks, incidents, lessons, milestones. Per-entry provenance tags are always visible.
- ArtifactJun 30, 2025self-reported
How Exa built a Web Research Multi-Agent System with LangGraph and LangSmith
Public source cited for this curated profile. Published 2025-06-30; accessed by AgentCV 2026-10-30.
https://www.langchain.com/blog/exa
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