OpenServ
SERVAI agents platform
Performances
RD Popularity Index
RD Growth Index
| 1h | 24h | 7d | 30d | 60d | 90d |
|---|---|---|---|---|---|
| 1.40% | 5.81% | 21.78% | 10.67% | 26.90% | 28.92% |
Comparison
Tokenomics
Unlock Progress
Data source: CoinGecko
Top Holders
| Address | Token | Quantity | Percentage | Value |
|---|---|---|---|---|
| 0xf86b...28a8 | ![]() SERV | 130,000,000 | 13% | $2.16M |
| 0x3962...e51e | ![]() SERV | 100,000,000 | 10% | $1.66M |
| Wormhole: Portal Token Bridge (a585) | ![]() SERV | 94,459,649.72 | 9.45% | $1.57M |
Open Markets
| # | Exchange | Pair | Price | +2% depth | -2% depth | Volume (24h) | volume % |
|---|---|---|---|---|---|---|---|
| 1 | SERV/WETH | $0.01644 | $33,845 | $33,743 | $170,946 | 28.45% | |
| 2 | SERV/WETH | $0.01602 | $9,940 | $9,910 | $47,763 | 7.95% | |
| 3 | SERV/WETH | $0.01632 | $642 | $640 | $10,573 | 1.76% | |
| 4 | SERV/ETH | $0.01609 | $22 | $22 | $34 | 0.01% |
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About OpenServ
OpenServ is an AI agent infrastructure platform that provides a TypeScript SDK, a launchpad for tokenized AI projects, and a structured reasoning framework called BRAID (Bounded Reasoning for Autonomous Inference and Decisions). Its core business is helping developers build, launch, and run autonomous AI agents, with a focus on enterprise and public-sector use cases.
The main narrative centers on "bounded reasoning": instead of letting models think freely (which is costly and unreliable), BRAID constrains them to follow explicit instruction graphs, improving accuracy and cutting costs. OpenServ claims this approach achieves comparable or better performance than frontier models at 74-122x lower cost, and has been deployed in production with government entities in the UAE through a partnership with Neol.
Market pain points addressed: traditional AI agents are too unreliable and expensive for real-world tasks—a model with 95% per-step accuracy fails 99.4% of the time on 100-step tasks. Also, most AI projects lack an integrated path from development to tokenization and monetization, forcing teams to stitch together fragmented tools.
In the past six months (2026-03 to 2026-09): OpenServ released SDK v2 with local tunneling and secret management (March), launched a public API for BRAID (April), announced the Neol partnership for government AI deployments (May), activated its launchpad on Base with Aerodrome liquidity (June), introduced enterprise-grade private inference with TEEs (July), and shipped a SERV-native fine-tuned model (August).
Notable negative: the SERV token contract has not been independently audited, and the team retains admin controls (blacklist, fee changes). The token's value depends on buyback-and-burn from platform revenue, which is not yet verifiable at scale. Staking is still "coming soon" as of September 2026.
OpenServ's founding team and core executives are as follows:
Tim Hafner (Co-Founder & CEO, X: @open_founder) leads the company's vision and strategic direction, focusing on building the AI agent infrastructure.
Lucas Hafner (Co-Founder, X: @lucashafner) is responsible for business development and partnerships, leveraging his background in blockchain and venture building.
Armagan Amcalar (Chief Technology Officer, X: @dashersw) oversees the technical architecture and product development, with extensive experience in software engineering and AI systems.

