Agents don't need more context. They need the right memory.
Lacuna is live for #HackHydra: HydraDB-backed memory that tracks changes, keeps evidence, flags conflicts & refuses unsupported answers—across web, CLI, API and MCP.
Built on @hydra_db ↓
https://t.co/HLxbgVs5ga
Day 7+8 of #HackHydra. ~21h left.
ChatGPT + Claude just answered from the same Lacuna memory: same current claim, same provenance.
MCP, HTTP and CLI then matched across 64/64 eval queries.
Last stretch: break it, not polish it.
One context. Any agent. @hydra_db
everyone says you don't need to code anymore. Our hackathon says otherwise.
we brought engineering roots back to hackathons, the results are here.
challenge was, use 3 connectors minimum among 56 we support and show they prioritize, deduplicate when same task is visible on linear, github, email, slack etc.
we say 20+ takes on engineering taste: builders want decisions to be transparent, easy to evaluate, and easy to trace in unique ways.
Congrats to everyone who brought great engineering taste with @hydra_db@RajGharat676295@HarishKotra@Roan0i@varun23twt@nick_realm_01@karthikponna19@KapoorJanesh@mikeflag43@DrawsyAI@iamyt
Day 5 + 6 of #HackHydra. Lacuna’s frontend is ~80% done, while the real backend is already being built in parallel with @HydraDB, temporal memory, evidence, abstention, Context Packs, MCP, SDK, CLI and the agent harness. Synthetic inputs are fine, but outputs must be real.
Day 4 of #HackHydra.
Lacuna is moving from design into execution.
Building a temporal context layer on HydraDB to fight context rot: stale facts, contradictions, noisy memory, weak provenance, and hallucination from missing evidence.
One context. Any agent. #AIAgents#MCP
Building Lacuna for Hack Hydra on @hydra_db.
Day 1: HTTP + Bolt verified.
Day 2: Temporal graph built. Corrections + sources stay linked.
Day 3: 60/60, 15 context tokens vs 636, 665 tests.
Local, not deployed. Voice is a seeded UI demo. Shipping Aug 20.
#HackHydra