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granietAI agent control plane for persistent, tool-using workflows
Top 87.8% on SourcePulse
Summary
Kheish provides a persistent runtime and control plane for long-lived, tool-using AI agents, ensuring their execution is durable, scoped, and accountable independently of any caller. It targets developers building complex AI workflows that must survive interruptions like process restarts or network outages, offering a robust alternative to in-process agent models.
How It Works
The core invariant is "agents outlive callers." Kheish decouples agent execution from its initiator (CLI, Slack, webhook, code) by treating agents as daemon-managed resources. This daemon enforces durable, journaled execution that survives interruptions like machine reboots or network blips, resuming seamlessly. Actions are governed under named authorities with append-only audit trails, utilizing brokered, short-lived leases for credentials rather than long-lived secrets, enhancing security and accountability.
Quick Start & Requirements
cargo build -p kheish-daemon. Start the daemon with export PROVIDER_API_KEY=... (e.g., ANTHROPIC_API_KEY) and ./target/debug/kheish-daemon serve. Interact via client commands (status, sessions create, sessions input, etc.) in a separate terminal.docs/capture.md, AGENTS.md, LICENSE.Highlighted Details
Maintenance & Community
No specific details on contributors, sponsorships, or community channels were found in the provided README text.
Licensing & Compatibility
The license is available at LICENSE. Specific license type and compatibility notes for commercial use are not detailed in the provided text.
Limitations & Caveats
Kheish is not a coding agent, LLM router, or chatbot framework itself, though it can host these. It is not intended for simple, single LLM calls; direct SDK usage is recommended for such cases. Security requires explicit configuration before exposing the daemon beyond localhost.
1 week ago
Inactive
letta-ai
Significant-Gravitas