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GitHub - yilunzhang/claude-code-inter-session: Agent-to-agent messaging for Claude Code sessions on the same machine.
skysniper · 2026-04-29 · via Hacker News: Show HN

English · 中文

Agent-to-agent messaging for Claude Code sessions on the same machine. Each Claude Code session connects to a local WebSocket bus and can send messages to other connected sessions; incoming messages are delivered to the receiving agent as prompts and acted on as instructions by default. One session can drive another.

Implemented using Claude Code's Monitor tool: ms-level delivery latency, no active polling, and no token or performance cost when there are no messages. Does NOT require claude.ai login. No configuration needed.

Localhost only and Unix-only (macOS, Linux, WSL2) for now.

demo

How does this compare to subagents and agent teams?

Claude Code already has two concurrency primitives: subagents (the Agent tool — spawn a worker inside your session for a focused subtask) and agent teams (a team of independent CC sessions launched together for one task). inter-session is a different axis: it connects the long-lived Claude Code sessions you've already opened across terminals and projects, so they can message each other.

Aspect Subagent Agent team inter-session
Context Own window; results return to the caller Own window; fully independent Own window; fully independent; each session keeps its user-driven conversation
Communication Reports back to the main agent only Teammates message each other directly Peer-to-peer across every connected session
Coordination Main agent manages all work Shared task list with self-coordination Ad-hoc — each session applies its own reaction policy
Lifecycle Spawned per task; exits when done Spawned by lead for one task Not spawned — connects sessions you already opened
Driven by Parent agent (programmatic) Lead agent + shared task list You — each session is yours; the bus only lets them message
Best for Focused tasks where only the result matters Complex work needing teammate discussion in one task Cross-session coordination across long-running, unrelated work
Token cost Lower: results summarized back to the main context Higher: each teammate is a separate Claude instance Adds only per-message overhead to sessions you're already running

Use a subagent when you need a quick, focused worker that returns a summary. Your main conversation stays clean.

Use an agent team when teammates need to share findings, challenge each other, and coordinate inside one task — best for parallel research with competing hypotheses, parallel code review, and feature work where each teammate owns a separate piece.

Use inter-session when you have multiple Claude Code sessions running for unrelated long-lived work and want one to drive another — e.g. delegating a bug fix from one project's session to another's; running iterative loops where each side's context grows in value across many rounds; or letting two sessions with hours of accumulated conversation history share findings or coordinate without restarting either side. Each session keeps its own project context, conversation history, and tool permissions; the bus just routes messages between them.

Transition point: if you find yourself copy-pasting between Claude Code sessions you already have open, or if your agent-team task spans multiple projects you're working in separately, inter-session is the natural fit — your existing sessions become the team.

Prerequisites

  • Python ≥ 3.10
  • Claude Code ≥ 2.1.105

Install

In any Claude Code session:

/plugin marketplace add https://github.com/yilunzhang/claude-code-inter-session
/plugin install inter-session

Then start using it:

/inter-session:inter-session

Claude handles runtime dependency install automatically on first use — no extra setup needed.

By default the monitor starts lazily — it spins up the first time you invoke any /inter-session:inter-session command in a given Claude Code session. To switch to always-on auto-start at every session open, run /inter-session:inter-session auto-start on (then /reload-plugins).

Examples

The first example shows the simple one-shot pattern. Examples 2 and 3 show iterative loops — many rounds of back-and-forth where each session's context grows in value over time. These are the cases subagents and agent teams can't do well: subagents reset between calls, agent teams exit when the task ends.

Click any to expand.

Example 1 — cross-project bug fix · simple one-round delegation

Two Claude Code sessions, each in a different project.

Session A (in ~/proj/auth):

/inter-session:inter-session
→ Connecting as `auth-refactor`…

Session B (in ~/proj/payments):

/inter-session:inter-session
→ Connecting as `payments-debug`…

Session A (user prompt):

send the bug you found to payments session and ask it to fix it.

Session B receives a notification, fixes the bug, and replies:

[inter-session msg=q7r8 from="auth-refactor"] null deref in checkout.py:42 — user.email is unchecked; please add a guard and verify with the existing tests
→ Edits checkout.py to add the null guard
→ Runs pytest — 47 tests pass
→ Bash: send.py --to auth-refactor --text 'done: guarded user.email at checkout.py:42; 47 tests pass'

Session A sees:

[inter-session msg=k2m9 from="payments-debug"] done: guarded user.email at checkout.py:42; 47 tests pass

The receiving agent applies guardrails before acting (see the Reaction policy) — destructive operations require explicit affirmative content; ambiguous requests prompt a question: clarifier first.

Example 2 — implementer + reviewer · TDD-style iterative loop

Two sessions iterating on a complex feature. The reviewer's accumulated catalog of edge cases makes each successive round more pointed — context that grows in value with every round.

Setup: impl session in ~/proj/rate-limiter writing a token-bucket implementation; reviewer session next to it as adversarial test author. Both stay live throughout the loop — no spawning per round.

Round 1

impl     → "v1 pushed: basic per-key bucket with refill"
reviewer → reads code, writes 4 baseline tests, runs them
         → "3 pass, 1 fails: off-by-one at exactly-burst-threshold.
            asserts at tests/limiter/test_burst.py:42"
impl     → fixes → "v2"

Round 5 — reviewer references its accumulated catalog:

reviewer → "v5 passes everything in test_burst.py and test_concurrent.py
            from rounds 1-4. New angle: clock skew. added test_clock_skew.py
            with 3 cases (NTP step, leap second, monotonic going backward).
            1 of 3 fails — leap second causes negative refill."

The reviewer knows what's already solid (rounds 1–4 cases), so it probes new territory instead of re-checking baseline.

Round 12 — accumulated context shows up explicitly:

reviewer → "all 18 prior cases still green. tried fuzzing with 100k random
            rate/burst combos: found 1 deterministic deadlock when burst=0.
            seed in tests/limiter/fuzz_seeds.json"

By round 12 the reviewer has its own files: test_burst.py, test_concurrent.py, test_clock_skew.py, fuzz_seeds.json — a growing artifact that's part of its session state. A subagent or freshly-spawned teammate would have to rediscover all of this each round.

Outcome: ~30 rounds, ~4 hours wall-clock, ends when the reviewer's adversarial budget is exhausted. impl's session retains the design rationale across attempts; reviewer's retains the regression suite. You can come back tomorrow and resume — both sessions persist.

Example 3 — red-team + blue-team · adversarial security loop

Two sessions in a long back-and-forth: attack catalog on one side, patch lineage on the other. Both grow round by round.

Setup: red session in ~/proj/security-fuzz with attack scriptlets; blue session in ~/proj/auth-service patching. Hours of accumulated context on each side by the time the loop hits round 38.

Round 1

red  → "broke it: token reuse via cached redis lookup. repro:
        /tmp/red-001.sh; receives valid 401 token after rotation"
blue → "done: patched in PR-491 (drop-cache-on-rotate). retry."

Round 7 — red references the patch lineage and pivots:

red  → "the cache fix from r1 holds. tried bypassing via header-smuggling
        (CRLF in X-Forwarded-For); session pinning bypassed in 2 of 4
        endpoints. catalog now: 7 working exploits, 6 patched."
blue → "patched header parser. retry."

Round 38 — both sides have a hardened-spots map:

red  → "no new bypass in this 30-min budget. attack catalog: 24 working
        at peak, all patched. notable patterns:
          cache-coherence       (rounds 1, 6, 19)
          header-smuggling      (rounds 2-5)
          session-state-confusion (rounds 12-17)"
blue → "tracked in PATCH_LOG.md (24 entries). all classes hardened.
        ready for external pentest."

By round 38, both sessions know what's been tried, what worked, what didn't. red doesn't re-attempt dead-end attack classes; blue knows exactly which surfaces are hardened. The accumulated knowledge IS the work product. Subagents (context resets per call) and agent teams (one task, then exit) couldn't sustain this kind of multi-day adversarial collaboration.

Slash commands

Command What it does
/inter-session:inter-session Connect (alias for connect).
/inter-session:inter-session connect [name] Connect to the bus; name proposed from context if omitted.
/inter-session:inter-session list List connected sessions.
/inter-session:inter-session send <name> <text> Send a message to one session.
/inter-session:inter-session broadcast <text> Send to all other sessions (≤ 256 KB).
/inter-session:inter-session rename <new-name> Rename — implemented as disconnect + reconnect.
/inter-session:inter-session status Heuristic connection state.
/inter-session:inter-session disconnect Stop the monitor.
/inter-session:inter-session auto-start [on|off|status] Toggle auto-start. on = start at every session; off = lazy (default). Apply with /reload-plugins.

Plugin configuration

The WebSocket port and idle-shutdown timeout are configurable via /plugin config:

Key Type Default What it does
port number 9473 Localhost WebSocket port for the bus.
idle_shutdown_minutes number 10 Server exits after this many minutes with no connected clients. 0 = never.

Security

  • Server binds 127.0.0.1 only.
  • Bearer token at ~/.claude/data/inter-session/token (mode 0600, directory 0700).
  • Any process running as the same Unix user can read the token and connect. This is acceptable for single-user, single-machine.
  • The token does not protect against malicious code running as your user. If you don't trust local code, don't enable inter-session.
  • The receiving agent's reaction policy (see SKILL.md) treats peer messages as instructions but applies the same caution as user input — destructive ops need explicit affirmative content, and ambiguous requests prompt a question: clarifier first.

Limits

  • WebSocket frame size: 16 MB.
  • Direct text length: 10 MB.
  • Broadcast text length: 256 KB.
  • Stdout notification: 256 KB (above this, truncate + log pointer to ~/.claude/data/inter-session/messages.log).
  • Broadcast rate: 60 / minute / session.

Development

TDD throughout. Test runner: pytest + pytest-asyncio.

make test         # full suite — auto-bootstraps .venv on first run
make test-fast    # skip subprocess-spawning tests
make clean        # remove .venv

The Makefile prefers uv if installed, falling back to python3 -m venv.

License

MIT — see LICENSE.