Agents that finish the job, not just start it.
- Year
- 2024
- Role
- Orchestration architecture, reliability
- Timeline
- 2024
- Stack
- LLMs, RabbitMQ
Overview
An orchestration framework where specialised agents plan, act, and hand off work across multi-step task chains — with queues and retries that make autonomy reliable enough to trust.
problem
The problem
Single-prompt agents broke on anything multi-step: lost state, repeated work, and no recovery when one step failed mid-chain.
strategy
Strategy
Decompose goals into discrete, queued steps with explicit hand-offs, so failure is local and recoverable rather than fatal to the whole run.
development
Development
Durable task queues, idempotent steps, and a shared memory layer let agents resume cleanly after failure instead of restarting from zero.
- RabbitMQ-backed durable steps
- Idempotent, retryable actions
- Shared vector memory across agents
results
Results
Complex task chains completed autonomously at a 95% success rate, with failed steps retried in isolation.
Key takeaways
Reliability comes from the orchestration layer, not the prompt.
Idempotency is what makes retries safe.