Tiger Agents For Work
Description
A library/CLI for running Agentic Slack bots with durable execution and bounded concurrency.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Tiger Agents for Work
Tiger Agent is a production-ready library and CLI for building Slack-native agents for serious work. Tiger Agents can handle concurrent conversations with enterprise-grade reliability and (optionally) zero-code setup.
- Want to develop with Tiger Agent as quickly as possible? Jump to the Developer Quick Start.
- Want to know what makes Tiger Agent special? Continue to the Features.
- Want to dig into the details? Consume the docs.
Features
- Durable & Atomic Event Handling: PostgreSQL-backed event claiming ensures exactly-once processing with no duplicates, even under high concurrency and failure conditions
- Bounded Concurrency: Fixed worker pools prevent resource exhaustion while maintaining predictable performance under load
- Immediate Event Processing: Events are processed within milliseconds of arrival rather than waiting for polling cycles, providing real-time responsiveness
- Resilient Retry Logic: Automatic retry with visibility thresholds and cleanup of stuck or expired events
- Horizontal Scalability: Multiple instances can run simultaneously with coordinated work distribution across all instances
- AI-Powered Responses: Pydantic-AI Agents using the model of your choice with (optional) MCP server integrations
- Extensible Architecture: No coding required for basic bots and easy customization via Python for more specialized use cases
- Complete Observability: Full Logfire instrumentation provides detailed tracing of event flow, worker activity, and database operations
How does Tiger Agent provide all of these features? Read the [docs](/docs/README.md).
Developer Quick Start
0. Prerequisites
1. Clone the repo and install the dependencies.
# clone the repo
git clone https://github.com/timescale/t
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