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"DARPA DICE Decentralized Artificial Intelligence through Controlled Emergence for Resilient Multi-Agent AI Collectives in Contested Environments" is currently closed and not accepting applications.
DICE asks for something most multi-agent AI research quietly assumes away: a collective of heterogeneous AI agents that holds its mission together with no central controller, under active adversarial pressure, over long time horizons, and still stays under human control.
Issued by DARPA's Information Processing Techniques Office as BAA HR001126S0010 on June 10, 2026 with Susmit Jha as program manager, the program funds the theory and algorithms for decentralized coordination and local inference control rather than fielded systems - all demonstration and evaluation is in simulation, which meaningfully lowers the barrier for university and software-only teams that cannot support hardware integration.
The work splits into three technical areas: TA1 decentralized coordination and consensus, TA2 local inference control that keeps individual agents role-coherent and mission-aligned without global oversight, and TA3 testing and evaluation in simulation.
TA2 is the conceptual core and the hardest sell - it targets the failure mode where individually reasonable agents drift collectively off mission, which is precisely the behavior that makes decentralized LLM-agent swarms unusable for defense today.
The program runs 36 months in three phases: 9 months for Phase 1 (Decentralization), 15 months for Phase 2 (Adversarial Robustness), and 12 months for Phase 3 (Scale), so proposals must show a credible path through adversarial robustness rather than only demonstrating clean-environment coordination.
DARPA has not published an award ceiling; multiple awards are anticipated and DARPA may use Procurement Contracts, Other Transaction Agreements or Cooperative Agreements, meaning nontraditional performers can structure around an OTA. A Proposers Day was held under DARPA-SN-26-72. Full proposals are due August 25, 2026, so teams engaging now are at the deadline and should look to abstract feedback and any amendment extensions.
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Or search similar grants →According to the current listing, eligibility includes: Open to all responsible sources under DARPA Broad Agency Announcement HR001126S0010, including U.S. and eligible foreign companies, universities, nonprofit research organizations and nontraditional defense contractors; foreign participation is subject to DARPA BAA restrictions and export control review. Federally funded research and development centers and government entities face the standard BAA limitations. DARPA anticipates multiple awards across three technical areas and may use Procurement Contracts, Other Transaction Agreements or Cooperative Agreements, so nontraditional performers should evaluate an OTA structure. The program is administered by the Information Processing Techniques Office with program manager Susmit Jha; the BAA was published June 10, 2026 and a Proposers Day was announced separately as DARPA-SN-26-72. Full proposals are due August 25, 2026. Technical scope covers TA1 decentralized coordination and consensus among heterogeneous AI agents, TA2 local inference control to maintain role coherence and mission alignment without a central controller, and TA3 testing and evaluation. All demonstrations are conducted in simulation rather than on physical platforms, so no hardware fielding capability is required. The program runs 36 months in three phases: Phase 1 Decentralization (9 months), Phase 2 Adversarial Robustness (15 months), and Phase 3 Scale (12 months). DARPA has not published an award ceiling or floor in the BAA. Confirm the full requirements in the official notice before applying.
The current listing shows DARPA has not published a dollar ceiling or floor in the HR001126S0010 BAA. Multiple awards are anticipated across three technical areas over a 36-month program using Procurement Contracts, Other Transaction Agreements and Cooperative Agreements; award size is expected to scale with the technical area and phase scope proposed. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was August 25, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
DARPA DICE Decentralized Artificial Intelligence through Controlled Emergence for Resilient Multi-Agent AI Collectives in Contested Environments is funded by Defense Advanced Research Projects Agency (DARPA), Information Processing Techniques Office (IPTO). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
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