CognitivX
Cognition & memory for everywhere
CognitivX launched on June 5, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
Cognitive AI with Persistent Memory, Agents, and Enterprise Intelligence
Not smart. Just knows you. iCog is the persistent memory layer for builders who live inside AI tools.
CognitiveX is the Large Cognition Model, a cognitive layer that gives any app or agent living memory. It remembers what happened, learns your patterns, and gets smarter with every interaction. The memory is the model. Free to start, no card required. Building an app instead? Read the docs → An LLM does Query → Model → Response → forget . The LCM closes the loop: Query → Living Memory → Reasoning → Learning → Evolution . Storage and search are table stakes. Everything below the line is where the category begins. A model answers and forgets. The LCM runs a recursive loop: every interaction is remembered, reflected on, reasoned over, decided, and learned from, and that learning rewrites the…from cognitivx.io
Does a similar job
all alternatives →- APA plain-text cognitive architecture for Claude CodeMar 2026 · lab.puga.com.br · ▲157
One memory, not one per tool. Cog gives AI agents a shared, structured memory layer using plain-text files — portable across Claude Code, Codex, Cursor, Gemini CLI, Windsurf, Copilot, and more.


Cogency – Cognitive Architecture for AI Agents2025 · github.com · ▲19Yesterday I built something that probably shouldn’t exist yet. In 9 hours, I created a cognitive architecture demonstrating emergent reasoning. It follows a 5-step loop: Plan → Reason → Act → Reflect → Respond. Adding a WebSearchTool to test extensibility, the agent initially failed its first search, reflected on poor results, adapted its query, and then succeeded. This behavior wasn’t programmed; it emerged naturally from the architecture. Five hours later, I integrated a FileManagerTool — it worked on the first try. Like code compiling first time, except this was intelligence composing…

Cognitora2025 · cognitora.dev · ▲86Built a multi-agent research system with OpenAI Agents SDK where specialized AI agents collaborate autonomously: Master Orchestrator → Data Analyst → Statistician → Report Writer Each agent has specific expertise. The orchestrator delegates tasks. All agents can execute code securely to solve problems. Example workflow: "Analyze e-commerce data" - Data Analyst: writes Python to load/clean data, spots trends - Statistician: performs significance tests, calculates growth rates - Report Writer: synthesizes findings into executive summary This demonstrates OpenAI Agents SDK's handoff system…
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