Independent AI lab · Lagos
Bad Theory Labs builds open models, agent infrastructure, runtimes, and benchmarks. The work is public, runnable, and measured against the thing it claims to do.
27B agentic coding + tool-use model
Selected output
Models are one layer. We also build the runtime, memory, agent scaffolding, evaluation, and deployment path around them.
Our frozen RL-0013 release combines agentic coding with structured tool use. It ships with complete evaluation evidence, a full-quality adapter, and a native compact edition.
A byte-verified AVQ2/UniSVQ GGUF with its own CUDA and Metal runtime, OpenAI-compatible server, and Ollama and LM Studio bridges. No BF16 checkpoint is loaded behind the scenes.
OpenAI-compatible chat and responses APIs with provider routing, usage accounting, billing, caching, rate limits, and self-serve workspace keys.
A memory layer for agents that need to remember across sessions without turning every old fact into current truth.
Research with artifacts
Our research produces papers, datasets, environments, runtimes, model artifacts, and explicit failure reports—not just a thesis page.
CIB tests whether long-running agents preserve, update, retrieve, and act on the right evidence across sessions. The v0 release contains 250 deterministic tasks and an auditable evaluation pipeline.
R/02Echo-Skeleton Perception lets a text-only model operate a graphical interface through persistent structure, OCR, affordance probes, and typed change events instead of screenshots.
R/03Our compression work produced a complete 8.39 GB 27B model, a packed representation, native kernels, precision-island allocation, behavior repair, and artifact-faithful validation.
R/04Controlled evaluations that separate observational pattern completion from interventional causal reasoning, with exact baselines and reproducible tasks.
Models, agents, infrastructure
Each project attacks a different failure mode: weak tool mechanics, forgotten context, unsafe autonomy, expensive inference, or perception that starts over every frame.
A local-first exoskeleton that gives small models explicit context, planning, tools, verification, critique, traces, and memory.
Open projectAn always-on lab operator with event ingestion, approvals, business loops, durable memory, founder briefs, and safe action boundaries.
Running inside BTLA privacy-first general agent with browser automation, files, shell, Python, scheduling, plugins, and messaging integrations.
Open project Open modelOur 7B code-review model produces structured security and correctness findings with file evidence and numeric confidence.
Open project Experimental runtimeA reusable Playwright and Tesseract implementation with stable screen nodes, event deltas, guarded actions, and external task verification.
Open project In developmentA local, ambient desktop agent built around selective attention, persistent context, permissioned action, and restraint.
Open projectTHE OPERATING PRINCIPLE
Build ambitious systems.
Measure them without mercy.
Ship what survives.