One TypeScript interface for 24+ LLM providers — swap providers without rewriting. MCP-native (connect any MCP server), voice (TTS/STT/realtime), RAG, memory, file processors. Production-origin: powers Tara, Yama, and Clairvoyance at Juspay.
Agent
A long-running agent produces outputs that do not fit in a conversation: a worker's full report, a build log, a stage's structured result. The tempting answer is to truncate one and send the head — but the discarded bytes are gone, and nothing records that they ever existed.
Agent
Delegation through registerAgentTool is synchronous: the supervising agent's loop blocks on each worker, so four investigations cost four times one investigation and the supervisor sits idle while each runs.
Agent
A long-running agent has to run real commands — a build, a test suite, a linter whose output is the evidence for a finding. The two obvious shapes both fail: bashTool blocks the loop, hands the model a shell, and truncates its own output at 100 KB; a childprocess call with a command string is a shell injection with…
Agent
The Multi-Agent Networks feature has full CLI coverage. All agent and network commands are implemented in src/cli/commands/agent.ts via the AgentCommandFactory class.
Agent
This document describes all configuration options for the Multi-Agent Networks feature in NeuroLink.
Agent
A long-running agent that plans in prose loses the plan the moment the conversation is summarized. The task checklist keeps the plan out of the message list: it is session state the model edits through three tools and the host reads synchronously — so "did this run actually finish everything?" is a question code can…
Agent
This document provides comprehensive guidance for testing the Multi-Agent Networks feature in NeuroLink.
Agent
This document provides a manual verification checklist for the Multi-Agent Networks feature.