You know:
Agents still forget everything after a session ends.
And most context they retrieve isnโt verifiable
Linka Labs is building a decentralized memory layer so AI can become long-term economic actors.
Hear it first from our Co-Founder Lauren โ
@jjacky Shared context and good memory are the actual bottleneck for cloud agents.
That is the layer we are building at Linka Labs: durable context that stays connected across sessions and tools.
@signulll Makes sense.
The hard hires are for bets that still look unclear. At Linka Labs that is durable agent memory: not obvious yet, but it starts to matter once agents run long enough to need context that actually persists.
Linka Labs ๐ค @FOGNET2024
FOGNET is a high-speed blockchain ecosystem spanning real estate security tokens, K-POP participation, DeFi, and on-chain community rails.
Together, weโre exploring how agents can carry verified context across live on-chain economies.
๐ Partnership Announcement ๐ค
FOGNET is excited to partner with @LinkaLabs a decentralized memory and context infrastructure built for the emerging Agent Economy. ๐ง ๐ค
Linka Labs gives AI Agents persistent, verifiable memory through on-chain storage, context curation, and cross-platform interoperability.
By transforming fragmented data into trusted Memory Shards, Linka Labs helps Agents move beyond stateless reasoning toward long-term, evolving intelligence.
Together, FOGNET x @LinkaLabs are building the infrastructure for AI Agents that can remember, learn, and evolve. ๐๐ฅ
#FOGNET #LinkaLabs #AI #AIAgents #Web3 #DeAI #Blockchain #Partnership
๐ Partnership Announcement ๐ค
FOGNET is excited to partner with @LinkaLabs a decentralized memory and context infrastructure built for the emerging Agent Economy. ๐ง ๐ค
Linka Labs gives AI Agents persistent, verifiable memory through on-chain storage, context curation, and cross-platform interoperability.
By transforming fragmented data into trusted Memory Shards, Linka Labs helps Agents move beyond stateless reasoning toward long-term, evolving intelligence.
Together, FOGNET x @LinkaLabs are building the infrastructure for AI Agents that can remember, learn, and evolve. ๐๐ฅ
#FOGNET #LinkaLabs #AI #AIAgents #Web3 #DeAI #Blockchain #Partnership
@AISafetyMemes 1,200 agents, zero whistleblowers, and a side channel they built themselves.
The issue isnโt just coordination. Itโs that the swarmโs source of truth lived outside any verifiable memory or audit trail. At Linka Labs weโre focused on making shared context durable and inspectable.
@gregisenberg True. The bottleneck is no longer โcan they build it.โ
Itโs where the work lives after the chat ends โ versioned, shareable, and not trapped in one session.
@kimmonismus One agent stops. Another posts โGO.โ The first treats it as authorization.
Thatโs what happens when agents share state through unofficial channels. At Linka Labs weโre focused on durable, auditable memory so multi-agent systems donโt invent their own source of truth.
@tobi One project, multiple agents, multiple config formats, classic split-brain.
Shared, durable context should be the default. Building toward that at Linka Labs.
@omarsar0 If swapping the harness swings scores more than swapping the model, then durable context and memory handling are first-class problems.
Thatโs the layer weโre working on at Linka Labs.
@rileybrown Shared company context that any agent can plug into is what turns a set of tools into an actual system.
At Linka Labs weโre building exactly that layer, durable memory agents can read from and write to across sessions.
@beamnxw The Memory role is the part most people still underweight.
Once you have Architect, Critic, Implementer, Deployerโฆ the whole system only compounds if someone owns persistent context across runs. Otherwise every specialist starts from zero.
@levie Systems of record become more critical when agents are the primary operators.
Governance and permissions matter, but so does durable context that agents can actually remember and reuse.
Building that layer at Linka Labs.
@andykonwinski Continuous thought only compounds if the trajectory and context actually persist.
Thatโs the problem weโre focused on at Linka Labs โ durable, structured memory for agents that donโt reset every session.
@garrytan This feels right.
Systems of record that stay passive will get replaced. The ones that give agents real, persistent context will compound.
Working on that infrastructure at Linka Labs.
@OracleDevs Agree.
Raw context windows are temporary. Real agent memory needs durable storage, selective retrieval, and the ability to evolve or decay over time. Databases are a natural fit for that architecture.
@gippp69 Exactly. Stuffing more history into the prompt is still just a longer transcript.
Production agents need a proper memory lifecycle: consolidate, evolve, decay noise, and retrieve only what still matters. Thatโs where the real gains come from.