Managed Deep Agents v0.9
Quiet signalAgents that schedule their own follow-ups
Launched 25d ago
Signal
20
Velocity
0
What this means
30%Vote pace is below typical for AI Agents.
Running at 30% of comparable launches.
19Founder Conviction Index: 19 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
2%
today
Projected end-of-day votes
3range 2–4
Trajectory
stable
Vote pace holding steady.
Speed vs peers
0.3×
262 AI Agents launches
About
Managed Deep Agents v0.9 from LangChain adds three things for internal agents that work like teammates. Agents can now create their own reminders and recurring tasks mid-conversation, running with the requester's permissions and posting back to the same channel. One deployment can pick its model, skills, tools and sandbox on every run. And agents can react to Slack messages right away. Public beta.
AI Summary
Managed Deep Agents v0.9 from LangChain enables internal agents to autonomously create reminders and recurring tasks during conversations, with the ability to post updates in the same channel. The deployment allows for model, skills, tools, and sandbox selection on each run, and agents can respond to Slack messages in real-time.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement—
not measured
Signal sources
2 of 6 active- Launch tracking5 readings since we picked it up
- AI analysisAI Agents
- Comment intelligencethread not yet analysed
- Outside discussionnot checked — domain is a storefront or shared
- Revenue signalsno match on this domain
- Editorial scoringbelow the signal threshold for this pass
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.
