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SN11
TrajectoryRL
Agentic RL as a Service, Optimize agent trajectories to make agents cheaper, safer, and more reliable.
0.006533
-2.19%
📊 Open Interactive Chart
18,788
Liquidity (TAO)
$1.69
USD per Alpha
1/256
Active Miners
131
Validators
2,895,987
Total Stake
1H+0.0%
24H-2.2%
7D-3.7%
30D-17.7%
Calculate Returns
📖 About This Subnet
WEBSITE GITHUB ON-CHAIN

TrajectoryRL is a specialized subnet on Bittensor that offers Agentic Reinforcement Learning as a Service. It optimizes agent trajectories to enhance their efficiency, safety, and reliability, providing a competitive platform for miners to develop and deploy fusion policies. By leveraging advanced machine learning technologies, it enables seamless interactions between agents and open-weight models, catering to diverse customer needs.

⚙️ How It Works

Miners submit their skill policies and fusion policies, which are evaluated by validators in real-world scenarios with hidden tests. The best-performing submission earns the right to serve as the default policy on Engy, with a stake-weighted consensus mechanism ensuring that only the most effective solutions are deployed.

🎯 Vision

TrajectoryRL aims to create a robust ecosystem for verifiable environments, enhancing the capabilities of AI agents in real-world applications. Its long-term goal is to establish a leading platform for reinforcement learning that drives innovation and improves the overall reliability of AI interactions.

👥 Team & Backing

Team information not publicly disclosed.

⚡ Key Facts
•Operates on Bittensor as Subnet 11.
•Focuses on optimizing agent trajectories for cost and reliability.
•Utilizes a continuous competition model for miners.
•Validators assess submissions in real sandboxes.
•Best submissions become deployable fusion policies on Engy.
WebsiteGitHub
📋 ANALYST REPORT BULLISH SubnetAIQ Research · AI-Generated
Revolutionizing agent efficiency in AI with optimized trajectories.

SN11 TrajectoryRL provides Agentic RL as a Service, focusing on optimizing agent trajectories. This subnet addresses the need for cost-effective, safe, and reliable AI agents, making it invaluable for developers and businesses looking to enhance AI performance. By streamlining agent operations, it lowers costs and improves overall reliability.

📈 Bull Case

If SN11 can attract more miners and validators, it could see a significant increase in liquidity and market cap. Catalysts such as partnerships with AI firms and successful case studies demonstrating cost savings could propel its value 10x.

📉 Bear Case

The risks include a high stake concentration of 42.2% with the top validator, which may lead to centralization concerns. Additionally, low active miner participation could hinder network security and performance, raising red flags for potential investors.

⚔️ Competitive Edge

SN11 TrajectoryRL specializes in optimizing agent trajectories more effectively than other solutions, offering unique cost and reliability benefits. Its focus on agentic RL sets it apart from traditional AI service providers.

🎯 Thesis · BULLISH

The current price of 0.009805 TAO and total stake of 2,666,666 TAO indicate growing interest and investment in this subnet. With only 2 active miners, there’s substantial room for growth as utilization increases

Verdict

"Investing in SN11 TrajectoryRL is a bet on the future of efficient AI — don’t miss the train!"

📰 Activity Feed
DEV STATUS
Recent (19d since last push)
23 Stars
20 Forks
13 Issues
Python
🔒
NETWORK 131 active validators securing the subnet
1 miners competing for emissions
2026-10-23
💻
DEV [coding-agent] meter: record and log the Engy request id for every call (#339)
by crabbytt (e1399fd)
2026-10-04
💻
DEV [coding-agent] chore(release): bump version to 0.7.4 (SPEC 27: $0.30 episode cap as a per-spec setting; weight-only by d
by crabbytt (e6eb944)
2026-10-03
💻
DEV [coding-agent] make the episode cap a spec-specific setting (SpecConfig) (#337)
by crabbytt (c2f32fb)
2026-10-03
💻
DEV [coding-agent] SPEC 27: lower per-episode safety cap from $0.60 to $0.30 (#335)
by crabbytt (a598d72)
2026-10-03
💻
DEV [coding-agent] validator: weight-only by default, eval behind EVAL_ENABLED (#336)
by crabbytt (2f32a51)
2026-10-03
💻
DEV Reduce per-episode safety cap from $1.00 to $0.60 (#334)
by tonyspd129 (ccc5404)
2026-10-03
💻
DEV chore(release): bump version to 0.7.3 (SPEC 26: drop 6 low-signal scenarios, 26 -> 20 / maxScore 20)
by crabbytt (f20a623)
2026-09-21
💻
DEV [coding-agent] SPEC 26: drop 6 low-signal/high-cost scenarios (26 -> 20) (#332)
by crabbytt (989c7cc)
2026-09-21
📊 Network Metrics
0.006533
Alpha Price (TAO)
18,788
Liquidity (TAO)
1/256
Active Miners
131
Validators
2,895,987
Total Stake
0.4%
Utilization
295.20
Emission / Tempo
360
Tempo (blocks)
📊 Interactive Chart Preview
TrajectoryRL · Last 90 days with momentum signals
Moving averages · Volume bars · Drawable price lines · BUY/SELL arrows · 1H to ALL timeframes
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⚙️ Network Details
Alpha Supply (In Pool)2,875,897
Avg Miner Emission32.8002
Median Miner Emission8.4152
Top Validator Stake1,991,127 TAO (68.8%)
Dynamic (dTAO)✓ Yes
🛡️ Risk Assessment
HIGH: Stake concentration — Top validator holds 68.8% of total stake
HIGH: Low miner activity — Only 1 active miners
MEDIUM: Low utilization — 0.4% of neuron slots active
🏆 Competitive Landscape
Sector: Software Engineering — Automated code generation, bug fixing, and software agents
Market Position: Lower Tier — #2 of 2 in Software Engineering
Competitive Weaknesses:
Liquidity 31% below sector average
Miner activity below sector average
Fewer validators than sector average

Sector Rankings — Software Engineering

Rank Subnet Liquidity Price Miners Validators Total Stake
#1 SN62 Ridges 27,070 0.008534 43/256 243 3,164,756
#2 SN11 TrajectoryRL YOU 18,788 0.006533 1/256 131 2,895,987
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