Open Research Lab
Current agents follow instructions. Next-gen agents organize, verify, and evolve autonomously. We research the core capabilities that make this possible — and build open-source implementations to prove them out.
Research Directions
When multiple agents work on the same codebase, who assigns tasks? Who resolves merge conflicts? We study parallel agent orchestration in git worktrees with automatic task decomposition, dependency routing, and conflict resolution.
Human review doesn't scale. We explore verification disciplines where every agent-generated change carries machine-checkable evidence — acceptance proofs, regression results, and provenance trails that make trust computable.
Today's agents start from zero every session. We build systems that analyze their own execution — failure patterns, cost curves, timeout calibration — and feed those insights back into future runs. The orchestrator that improves itself.
Open Source
Research Platform
The primary research platform. Parallel agent orchestration in git worktrees with self-evolution pipeline, proof-first merge gates, and execution analytics. A living lab that improves itself.
Operability
Codebase readiness scoring for autonomous agents. Not just instructions (AGENTS.md) but measurable standards — build determinism, test coverage, merge safety.
Verification
Verification discipline for agent-generated changes. Acceptance criteria, regression safety, and auditable evidence — making trust in autonomous output systematic.
Team Platform
Multi-agent team coordination across projects. Shared memory, role-based access, and cross-repository workflows for agent teams at scale.
Ecosystem
Science
AI-native scientific lab platform. Self-evolving discovery loops, persistent lab memory, and autonomous experimental workflows — the first vertical proving ground for Agent Next research.
Thesis
Claude Code, Codex, Cursor, Devin — every major lab is shipping autonomous coding agents. The ability to generate code is no longer the differentiator. The bottleneck is shifting from writing to trusting.
Today's tools expect a human to review every PR, resolve every conflict, learn from every failure. This doesn't scale. We need infrastructure that lets agents handle these tasks autonomously, with verifiable guarantees instead of human trust.
The next generation of agents won't just follow prompts — they'll form teams, prove their work, and improve from experience. The research lab that defines these capabilities shapes how autonomous software engineering works for everyone.
We're building it. Open source, open research, open standards.
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