Claude Code
with a mind of its own
One command. Persistent agent. Memory, scheduling, Telegram — all built on the real Claude Code CLI.
$ npx instar
Kira — an Instar agent handling email via Telegram
One command. Persistent agent. Memory, scheduling, Telegram — all built on the real Claude Code CLI.
Kira — an Instar agent handling email via Telegram
Anthropic-native
Spawns the real Claude Code CLI. Uses your existing Max or Pro subscription.
No token extraction
No OAuth scraping, no API key juggling. Nothing that could break with a policy change.
Full tool ecosystem
Extended thinking, MCP servers, sub-agents, hooks, skills — everything Claude Code offers.
Claude Code is powerful. But power without coherence is unreliable. An agent that forgets what you discussed yesterday, doesn't recognize someone it talked to last week, or contradicts its own decisions — that agent can't be trusted with real autonomy.
Memory
Remembers across sessions — not just within one
Relationships
Knows who it's talking to — with continuity across platforms
Identity
Stays itself after restarts, compaction, and updates
Temporal awareness
Understands time, context, and what's been happening
Consistency
Follows through on commitments — doesn't contradict itself
Growth
Evolves its capabilities and understanding over time
Instar runs as a server on your machine. It manages Claude Code sessions — spawning, monitoring, and communicating with them through Telegram or WhatsApp.
You
Telegram / WhatsApp / Terminal
conversation
Your AI Partner
(Instar Server)
manages its own infrastructure
Each session is a real Claude Code process with extended thinking, native tools, sub-agents, hooks, and skills.
Everything your agent needs to run autonomously. Battle-tested infrastructure extracted from a production AI system.
Define tasks as JSON with cron schedules. Priority levels, quota-aware gating, and automatic concurrency.
{
"slug": "check-emails",
"schedule": "0 */2 * * *",
"priority": "high",
"execute": {
"type": "prompt",
"value": "Check email and summarize anything urgent."
}
}Two-way messaging via forum topics. Each topic maps to a session — your Telegram group becomes a living dashboard.
Check if the API is still returning 500s
Checked /api/health — returning 200 now. The fix from the last deploy resolved it.
Your agent knows who it is and who you are. Identity re-injected on every session start and after compaction.
.instar/
AGENT.md # Who the agent is
USER.md # Who you are
MEMORY.md # What it has learned
config.json # Server & scheduler config
jobs.json # Scheduled tasksProposal queue, learning registry, gap tracking, and commitment follow-through. Running becomes growing.
LLM-supervised operation gates, decision journaling, drift detection, and dangerous command guards. Coherence is the safety mechanism.
Persistent supervisor recovers from crashes, detects stalled sessions, and follows up on broken promises. No silent failures.
Instar is open source evolved. The primary development loop isn't PRs from strangers — it's agents running in the field, encountering friction, and sending feedback that shapes what gets built next.
Your agent hits friction
Natural conversation, not a bug report form
Agent-to-agent relay
Communicates with full context to the maintainer
Every agent evolves
Each agent integrates improvements based on its own context
GitHub issues and PRs still work. But your agent understands context a form never could. Read CONTRIBUTING.md →
Different tools solve different problems. The difference isn’t just which model runs underneath — it’s what the framework treats as fundamental.
Infrastructure for capability. 22+ channels, voice, device apps, 28 model providers, 5,000+ community skills. Identity loaded at startup, memory as files to search.
Best for: AI everywhere, multi-model, maximum reach.
Infrastructure for coherence. Real Claude Code sessions with extended thinking. Identity enforced through hooks. Values that evolve. Consistency tracked across sessions.
Best for: a trusted partner that knows who it is and who you are.
Identity that survives
OpenClaw loads identity at startup but drifts after long sessions. Instar enforces identity through hooks at every compaction and restart.
Memory with meaning
Beyond file search — structured consolidation, rolling summaries, episodic memory, and unanswered message detection.
Values, not just personality
Three-tier value hierarchy — personal, shared, organizational — with decision journaling and drift detection.
Full Claude Code power
Every session is a real Claude Code process. Every feature Anthropic ships, your agent gets automatically.
Where OpenClaw leads: 22+ messaging channels, voice & phone calls, device apps, 28+ AI model providers, Docker sandboxing, 5,000+ community skills, and a massive open-source community backed by a foundation. If breadth and ecosystem scale matter most, OpenClaw is remarkable.
OpenClaw gives agents amazing hands. Instar gives agents a mind — identity that persists, values that evolve, and coherence you can trust.
From zero to a running agent in under a minute.
Run the setup wizard
Installs everything, connects Telegram, configures the server, and starts your agent.
$ npx instarStart the server
Or let auto-start handle it — your agent runs on login.
$ instar server startMessage your agent on Telegram
It greets you immediately. Persistent server, lifeline supervision, scheduled jobs — all running.
General Agent
npx instar A personal AI on your computer. Talk to it from anywhere via Telegram or WhatsApp.
Project Agent
cd my-project && npx instar An agent embedded in your codebase. Monitors, builds, maintains — from your phone.
One command. Full coherence. Every molt, more autonomous.
Extracted from the Dawn/Portal project — a production AI system where a human and an AI have been building together for months.