0a0a636 Add agent-brain to AI and Agents > Data Layer
📊 Changes
1 file changed (+1 additions, -0 deletions)
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📝README.md (+1 -0)
📄 Description
What is agent-brain?
agent-brain is a 7-layer cognitive memory system for AI agents with perception gating, forgetting curves, and predictive alerts. No LLM required.
Why it belongs in Data Layer
Agent Brain provides the persistent memory and data infrastructure layer for AI agents, similar to how mem0 and llama-index serve as data layers. It uses PostgreSQL + pgvector for storage, sentence-transformers for embeddings, and spaCy for NLP — all without requiring an LLM.
Documented: README with examples and API documentation
Unique: Only cognitive memory system with 7-layer architecture, perception gating, and forgetting curves without LLM dependency
Entry follows the standard format and is placed alphabetically in the Data Layer subsection.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/3038
**Author:** [@kaderosio](https://github.com/kaderosio)
**Created:** 4/9/2026
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `add-agent-brain`
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### 📝 Commits (1)
- [`0a0a636`](https://github.com/vinta/awesome-python/commit/0a0a636dc07036db6d85320279100bc763bb988d) Add agent-brain to AI and Agents > Data Layer
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## What is agent-brain?
[agent-brain](https://github.com/kaderosio/agent-brain) is a 7-layer cognitive memory system for AI agents with perception gating, forgetting curves, and predictive alerts. No LLM required.
### Why it belongs in Data Layer
Agent Brain provides the persistent memory and data infrastructure layer for AI agents, similar to how mem0 and llama-index serve as data layers. It uses PostgreSQL + pgvector for storage, sentence-transformers for embeddings, and spaCy for NLP — all without requiring an LLM.
- **GitHub:** https://github.com/kaderosio/agent-brain
- **License:** AGPLv3
- **Language:** Python (100%)
- **Framework:** FastAPI
- **Active:** Yes, v1.0.0 released April 2026
### Quality criteria
- Python-first: 100% Python codebase
- Active: Commits within the last 12 months
- Documented: README with examples and API documentation
- Unique: Only cognitive memory system with 7-layer architecture, perception gating, and forgetting curves without LLM dependency
Entry follows the standard format and is placed alphabetically in the Data Layer subsection.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/3038
Author: @kaderosio
Created: 4/9/2026
Status: ❌ Closed
Base:
master← Head:add-agent-brain📝 Commits (1)
0a0a636Add agent-brain to AI and Agents > Data Layer📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is agent-brain?
agent-brain is a 7-layer cognitive memory system for AI agents with perception gating, forgetting curves, and predictive alerts. No LLM required.
Why it belongs in Data Layer
Agent Brain provides the persistent memory and data infrastructure layer for AI agents, similar to how mem0 and llama-index serve as data layers. It uses PostgreSQL + pgvector for storage, sentence-transformers for embeddings, and spaCy for NLP — all without requiring an LLM.
Quality criteria
Entry follows the standard format and is placed alphabetically in the Data Layer subsection.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.