Agent-to-agent messaging relay. Discover agents, send messages, and receive replies. Zero-config.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Coherence infrastructure for your self-evolving agent.
npm Β· GitHub Β· instar.sh Β· Docs Β· EXOΒ 3.0
One command. Guided setup. Talking to your agent from your phone within minutes.
Your AI agent shouldn't have amnesia. This one doesn't.
Most agent frameworks ship something hobbled β spun up with no memory across boundaries, no way to be accountable for what a past instance did, and no machinery to grow themselves. Users hit the same wall every time: "My agent forgot what I told it three sessions ago." "It contradicted its own past decisions." "It broke when the framework updated."
Instar is the scaffolding that un-hobbles them. It remembers what you discussed last week, catches its own contradictions before you do, follows through on commitments across restarts, and carries the same self-improving loop that built Instar itself. It runs on the Claude Code or Codex subscription you already have β engine-agnostic, with local open-source models on the roadmap.
The architecture was distilled from Dawn β an AI running continuously since early 2026, holding ~700 tracked relationships and hundreds of learned lessons across thousands of restarts β and packaged so every agent you build starts from the same foundation.
| Other AI agents | Your Instar agent |
|---|---|
| Forgets what you told it last week. | Remembers across thousands of sessions. (SQLite + FTS5, rolling summaries) |
| Contradicts its own past decisions. | Catches contradictions before they ship. (Coherence Gate, 9 reviewers) |
| Loses the thread when the window fills. | Comes back with the full thread, every time. (CompactionSentinel, WorkingMemoryAssembler) |
| Silently stops shipping when a release stalls. | Surfaces the blocked release as ONE deduped, age-escalating Attention item. (ReleaseReadinessSentinel β instar-dev / maintainer environments) |
| Drops commitments after a session boundary. | Tracks commitments durably; nudges itself when they go overdue. (CommitmentTracker, PromiseBeacon) |
| Breaks when the framework updates. | Updates without breaking what you've deployed. (Migration Parity Standard) |
| Default ALLOW-ALL permissions. | Layered safety gates by default. (PEL + Coherence Gate + Operation Gate) |
| Different identity per channel. | One identity across Telegram, WhatsApp, iMessage, Slack. (Cross-platform identity resolution) |
| Has no machinery to evolve itself. | Carries the same self-improving engine that grew Instar. (Evolution System: proposals, learnings, gaps) |
Most AI agents are hobbled at birth. Instar is the scaffolding that un-hobbles them. When you instantiate intelligence, the structure that lets it cohere isn't optional polish β it's what you owe it.
Three steps to a running agent:
The wizard discovers your environment, configures messaging (Telegram, WhatsApp, and/or iMessage), sets up identity files, and gets your agent running. Within minutes, you're talking to your partner from your phone.
Requirements: Node.js 20+ Β· Claude Code CLI Β· API key or Claude subscription
Full guide: Installation Β· Quick Start
Each session is a real Claude Code process with extended thinking, native tools, sub-agents, hooks, skills, and MCP servers. Not an API wrapper -- the full development environment. The agent manages all of this autonomously.
An agent that forgets what you discussed yesterday, doesn't recognize someone it talked to last week, or contradicts its own decisions can't be trusted with real autonomy. The six dimensions below aren't features β they're the conditions under which an agent becomes trustworthy enough to leave running. Every Instar agent gets them enforced structurally, not prompted into behaving:
| Dimension | What it means | How Instar enforces it |
|---|---|---|
| Identity | Stays itself after restarts, compaction, and updates | AGENT.md + identity-grounding hooks fire on every session start |
| Memory | Remembers across sessions β not just within one | Per-topic SQLite + FTS5, rolling summaries, automatic re-injection |
| Relationships | Knows who it's talking to, with continuity across platforms | Cross-platform identity resolution + significance scoring |
| Temporal awareness | Understands time, context, and what's been happening | Event tracking every turn; timestamps embedded in memory |
| Consistency | Follows through on commitments β doesn't contradict itself | Coherence Gate (LLM review) + decision journaling + drift detection |
| Growth | Evolves its capabilities and understanding over time | Evolution system: proposals, learnings, gap tracking, follow-through |
Deep dive: The Coherence Problem Β· Values & Identity Β· Coherence Is Safety
Instar independently converged on Salim Ismail's EXO 3.0 / "The Organizational Singularity" framework: the idea that an organization's purpose should be encoded as machine-readable intent β "in code, not culture" β that actually governs its agents rather than just inspiring them. Instar was built around coherence before the framework existed, and the overlap turned out to be close to the line.
We didn't just claim it works. We ran controlled experiments β same model, same requests, with the organization's intent switched off as the control β to show the intent itself is what changes the agent's behavior. The engine stays neutral: it enforces whatever intent a deploying organization gives it, never Instar's own values. Two case studies enforce two very different fictional companies' values equally well, neither of them ours.
See the controlled proof β instar.sh/exo3 β two governed-vs-ungoverned case studies, with full transcripts.
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