docs: Add crewai-soul as community memory backend

[menonpg]

Summary

Adds crewai-soul to the Memory documentation as a community backend option for users who prefer markdown-based, git-versionable memory storage.

What is crewai-soul?

A drop-in memory backend that stores agent memories in human-readable markdown files (SOUL.md + MEMORY.md).

Why users might prefer it:

• Human-readable — See exactly what agents remember
• Git-versionable — Track memory evolution with commits
• Editable — Fix wrong memories by editing files
• No database — Just markdown files

Built on:

• soul-agent — RAG + RLM hybrid retrieval
• soul-schema — Database semantic layers

Links

• PyPI: https://pypi.org/project/crewai-soul/
• GitHub: https://github.com/menonpg/crewai-soul
• Comparison article: https://menonlab-blog-production.up.railway.app/blog/crewai-soul-vs-crewai-memory

Changes

• Added "Community Memory Backends" section to docs/en/concepts/memory.mdx
• Documented installation, usage, and when to choose crewai-soul over default Memory

---

Note

Low Risk
Low risk documentation-only change with no runtime or API impact.

Overview
Adds a new Community Memory Backends section to docs/en/concepts/memory.mdx introducing crewai-soul as an alternative, community-maintained memory backend.

Documents when to use it, how to install it, a minimal standalone usage example, and links to its GitHub/PyPI plus a short feature list.

^{Written by Cursor Bugbot for commit a1df2d7. This will update automatically on new commits. Configure here.}

[Copilot]

Pull request overview

This PR adds a "Community Memory Backends" section to docs/en/concepts/memory.mdx, documenting crewai-soul — a third-party package that stores agent memories in markdown files (SOUL.md + MEMORY.md) for human-readable, git-versionable memory storage.

Changes:

• Adds a new ## Community Memory Backends section to the core memory concept page
• Documents crewai-soul installation, usage, features, and links
• Provides a usage example showing SoulMemory() as a direct Crew memory= argument

---

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[Copilot]

The example output in the markdown code block contains the hardcoded date 2026-03-06 18:30:15 UTC. This is a specific real-world date that will quickly become outdated and confusing to readers. Documentation examples should use a generic or placeholder date (e.g., YYYY-MM-DD HH:MM:SS UTC or a clearly illustrative date like 2024-01-15) rather than a specific timestamp tied to when this PR was authored.

Suggested change

	## 2026-03-06 18:30:15 UTC
	## YYYY-MM-DD HH:MM:SS UTC

[Copilot]

The code comment on line 790 describes SoulMemory() as a "Drop-in replacement for Memory", but the existing documentation (line 761) clearly states that custom storage backends should be passed as Memory(storage=your_backend) via the StorageBackend protocol. If SoulMemory is a completely separate class (not a Memory subclass or StorageBackend implementation), passing it directly as memory=SoulMemory() to Crew may not actually work with CrewAI's Crew constructor, which likely expects a Memory instance or True. This claim of being a "drop-in replacement" should be verified against CrewAI's actual type expectations, and the usage example should be updated to reflect the correct integration pattern (e.g., Memory(storage=SoulMemory()) if it implements StorageBackend).

Suggested change

	from crewai import Crew
	from crewai_soul import SoulMemory
	# Drop-in replacement for Memory
	crew = Crew(
	agents=[researcher, writer],
	tasks=[...],
	memory=SoulMemory(),
	from crewai import Crew, Memory
	from crewai_soul import SoulMemory
	# Use SoulMemory as a custom storage backend for Memory
	crew = Crew(
	agents=[researcher, writer],
	tasks=[...],
	memory=Memory(storage=SoulMemory()),

[Copilot]

The comparison article link points to a third-party blog hosted on menonlab-blog-production.up.railway.app, a Railway-hosted deployment. Railway-hosted apps can go offline or become unavailable at any time. Official CrewAI documentation should not include links to ephemeral third-party deployments, as they create a poor experience when the link becomes broken. Consider linking to a more stable hosting location, or removing the comparison link from the official docs.

Suggested change

- [Comparison: crewai-soul vs CrewAI Memory](https://menonlab-blog-production.up.railway.app/blog/crewai-soul-vs-crewai-memory)

[Copilot]

This PR embeds a community/third-party package (crewai-soul) directly into the core concept page memory.mdx. Looking at how other third-party integrations are documented in this repository, each integration has its own dedicated page (e.g., docs/en/observability/galileo.mdx, docs/en/observability/langfuse.mdx, etc.), rather than being embedded inside a core concept file. The pattern of adding a "Community Memory Backends" section within memory.mdx deviates from the established convention. Consider either giving crewai-soul its own page (e.g., docs/en/integrations/crewai-soul.mdx) and linking to it from memory.mdx, or clearly establishing and following a consistent pattern for community backend documentation.

Suggested change

	**Features:**
	- RAG + RLM hybrid retrieval via [soul-agent](https://github.com/menonpg/soul.py)
	- Human-readable markdown files
	- Git-versionable memory
	- Managed cloud option ([SoulMate](https://menonpg.github.io/soulmate)) for production
	- Database schema intelligence via [soul-schema](https://github.com/menonpg/soul-schema)
	**Links:**
	- [GitHub](https://github.com/menonpg/crewai-soul)
	- [PyPI](https://pypi.org/project/crewai-soul/)
	- [Comparison: crewai-soul vs CrewAI Memory](https://menonlab-blog-production.up.railway.app/blog/crewai-soul-vs-crewai-memory)
	## Community memory backends
	CrewAI supports community-maintained memory backends that build on top of the core
	`Memory` interface. For example, the `crewai-soul` package provides a PostgreSQL- and
	markdown-based backend. For setup and usage details, see the dedicated integration
	guide: [crewai-soul integration](/integrations/crewai-soul).