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Vasilije (@tricalt) introduced Cognee v1.0 on 2026-06-26, claiming it is 145%…

Brief

Cognee v1.0, announced by Vasilije (@tricalt) on 2026-06-26, claims a breakthrough in agent memory: 145% better long-context retrieval versus Opus 4.8/GPT‑5.5, a 100 billion-token context window (100,000x Claude), 6.9x lower cost, 350ms cold starts and 260ms searches. It’s marketed as a connector for existing agents, though no public benchmarks are available on the site or GitHub.

Why it matters

Vasilije (@tricalt) introduced Cognee v1.0 on 2026-06-26, claiming it is 145% better than Opus 4.8 and GPT‑5.5 at long-context memory retrieval, supports a 100 BILLION token context window (claimed to be 100,000x larger than Claude), is 6.9x cheaper than GPT‑5.5/Opus 4.8, cold-starts in 350ms and searches in 260ms.

Key details

  • Cognee is presented as a connector that integrates with existing agents (not a platform to build them) to prevent forgotten context, reduce token waste, and speed complex workflows — but Cognee's website and GitHub do not provide benchmarks or evidence supporting these performance and cost claims.
Source evidence

If someone gonna solve memory for agents, that's Cognee

Vasilije (@tricalt)

Introducing Cognee v1.0: a major breakthrough in agentic intelligence.

It is 145% better than Opus 4.8 and GPT 5.5 at long context memory retrieval.

Cognee allows a 100 BILLION token context window 100,000x more than Claude. It's:

  • 6.9x cheaper than GPT 5.5 and Opus 4.8
  • Cold starts in 350ms & searches in 260ms

Why this matters:

Today agents forget important context, redo tasks, waste tokens, and slow down as workflows get more complex.

Cognee solves this.

It’s not a place to build agents. It connects to the agents you’ve already built, across any platform, and makes them significantly cheaper, faster, and more accurate.

Here's how it works:

Video

Community note: Cognee's website and GitHub do not provide benchmarks or evidence supporting claims of 145% better long-context memory retrieval than GPT-5.5/Opus 4.8, a 100 billion token context window, or 6.9x cheaper costs. cognee.ai github.com/topoteretes/co…

— https://nitter.net/tricalt/status/2070512757716164816#m