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Store messages → Acontext automatically extracts tasks, tracks progress, and detects success/failure. No tracking code needed.

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30-Second Example

Your agent stores a conversation where the user asks: “Deploy the new API to staging” Acontext’s background monitor extracts: 
Task: "Deploy the new API to staging"
Status: success
Progress:
  1. Built Docker image from Dockerfile
  2. Pushed to registry at gcr.io/my-project/api:v2.1
  3. Deployed to staging cluster via kubectl
User preferences:
  1. Always run tests before deploying
You didn’t write any of that. It came from the conversation automatically.

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What Gets Tracked

FieldExample
Task”Deploy the new API to staging”
Statuspending → running → success or failed
ProgressStep-by-step record of what the agent did
User preferencesConstraints the user mentioned

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Feeds Into Skill Memory

Completed tasks feed into the skill memory pipeline:
  • Success → extracts the approach and generalizable patterns
  • Failure → extracts the failure point and prevention principles
These become reusable agent skills automatically.

Agent Tasks

Extract and query tasks via SDK.

Session Buffer

How message batching and processing timing works.

Dashboard

View messages, tasks, artifacts, and skills visually.

Distributed Tracing

Monitor request flows with OpenTelemetry and Jaeger.