Lore, operated by Tanagram, Inc., builds Workbench, a macOS command strip that lets engineering teams run AI sessions above any application and keep each one as shareable context. Workbench tracks multiple concurrent sessions, preserves the context behind each thread, and turns repeatable workflows into skills the whole team can search and reuse.
The company's durable posture is team knowledge sharing for AI-native engineering: it gathers the prompts, tool calls, and artifacts produced inside agents like Claude Code, Codex, and Amp into a shared library, so engineering decisions and tradeoffs are captured rather than lost on a single machine. That shifts AI-assisted coding from isolated individual sessions into versioned, collaborative infrastructure a team can search and build on.
Lore addresses the emerging market for tools that help engineering teams manage and share AI-assisted work, a category forming as adoption of coding agents like Claude Code, Codex, and Amp accelerates. As more engineering output is generated inside agent sessions, demand is growing for systems that preserve, organize, and redistribute that work across a team instead of letting it disappear.
The company's cross-agent, macOS-native positioning aligns with a broader industry shift toward treating agent output as collaborative infrastructure rather than isolated sessions. The category remains early and competitive, with demand driven by teams seeking to retain and reuse the knowledge produced inside increasingly capable coding agents.
Lore's core advantage is turning AI coding sessions from ephemeral, machine-local activity into durable, team-accessible knowledge. Because the Workbench sits above the operating system rather than inside a single editor or CI pipeline, it captures sessions across multiple agents and harnesses, including Claude Code, Codex, and Amp, without depending on any one tool's internals.
Each captured session retains its full context and becomes a shareable artifact or a reusable skill, so the way one engineer solves a problem becomes a repeatable step the rest of the team can run again. This compounds organizational knowledge as adoption grows, lowering onboarding cost and reducing context loss when engineers change tools or roles.
Lore turns coding-agent sessions from Claude Code, Codex, and Cowork into shareable team knowledge.