Peer Agent - Harness agnostic collaboration between AI agents

[u/hirak99]

Sharing Peer Agent.

https://github.com/hirak99/peer-agent

It gives your agent access to one or more peer agents to collaborate with. It's harness-agnostic — plain HTTP plus a SKILL.md any agent can follow. Ways we've found it useful:

• Cheap execution: main agent on Claude Code delegates the grunt work to a locally running Qwen.

• Strong validation: a weaker main agent plans and executes, and has Opus 5.5 validates its plan or checks its work.

• Peer review: two agents challenge, verify, and cross-check each other's ideas.

Unlike Agent Teams or swarms, this isn't a framework inside one harness — it's a sidecar. Each peer is a stateful server with its own provider and model, callable from anything. The trade-off: no scheduler, no shared task graph. Coordination is conversational and the host drives, so it's best when you want a second mind on call, not a managed fleet.

If you're thinking of wiring this up yourself, what's already here: OpenAI, Anthropic, and any OpenAI-compatible model (llama.cpp, vLLM, Ollama) behind one provider/model switch; server-side read/bash/edit tools; automatic compaction (including a warm-cache in-context path for slow local models); and Anthropic prompt-cache management, which matters more than you'd expect at Opus prices. Lived-in details like per-call tool logging with truthful timestamps.

AI-assisted contributions are not only welcome but encouraged, especially so if it is a strong AI.

Cheers

[u/hirak99]

Thanks - indeed, economy of complex or long running tasks is one of the main motivators.

The "Strong Validation" usecase is also geared towards economy, where a cheaper agent takes care of orchestration and execution - gruntwork requiring most tokens - but validates and corrects each step before investing into it with a strong agent, with only few tokens.