What is Task Tracking?
Automatic task tracking, progress recording, and session summaries — zero instrumentation
Store messages → Acontext automatically extracts tasks, tracks progress, and detects success/failure. No tracking code needed.
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 deployingYou didn't write any of that. It came from the conversation automatically.
What Gets Tracked
| Field | Example |
|---|---|
| Task | "Deploy the new API to staging" |
| Status | pending → running → success or failed |
| Progress | Step-by-step record of what the agent did |
| User preferences | Constraints the user mentioned |
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.
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