AI Agent Framework Only Supports Claude Despite Multi-Agent Claims
Project claims agent-agnostic support but hardcodes Claude CLI checks. Two config systems do not communicate. Labels not auto-created.
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Similar Problems
surfaced semanticallyAI Agent Fleet Configs Corrupted by Global Settings Mutations
In multi-agent coding tool fleets, commands that appear to be session-scoped (like /model and /effort) actually write to a shared global config file. Any agent invoking these mid-session silently overwrites the config for all other agents and future spawns. There is no per-agent isolation or way to detect which agent last mutated shared state.
CLI Reincarnation Command Hardcodes Single Agent Instead of Multi-Agent
A CLI reincarnation command hardcodes a specific AI agent (Gemini) as the handoff target. The system needs to support configurable multi-agent handoff between Claude Code, Gemini, Codex, or other future AI coding agents.
AI Coding Tools Have Inconsistent Plugin and Connection Behavior
Developer tool ecosystems have inconsistent plugin and connection behavior across desktop, mobile, and web versions of the same product. Workflows that work on one platform break on another due to missing integrations.
No Mature Orchestration Layer for Running Multiple AI Coding Agents
Developers running multiple AI coding agents in parallel face poor observability, debugging failures, uncontrolled token cost explosions, and no reliable context passing between agents. Existing orchestrators like Conductor and Intent are early-stage with significant gaps. As multi-agent workflows become the norm for engineering teams, the absence of a mature orchestration layer is a compounding bottleneck.
Per-session subprocess spawning limits Claude Agent SDK server concurrency
Developers running the Claude Agent SDK on server-side, high-concurrency workloads report severe CPU and memory blowup because the SDK spawns a new OS subprocess for every session. At 40 concurrent sessions, throughput stalls and P95 latency exceeds 100 seconds, compared to alternative in-process agent architectures.
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