AgentRecall-MCP
★ 258
vs
holaOS
★ 5.4k
AgentRecall-MCP vs holaOS
AgentRecall-MCP: AgentRecall is a learning loop for AI agents that provides persistent, compounding memory. It captures corrections automatically, surfaces past insights across projects, and uses a five-layer memory pyramid with Ebbinghaus decay and Bayesian feedback. Zero cloud, all local markdown files.; holaOS: holaOS is an agent environment built for long-horizon work, continuity, and self-evolution. It provides agents with a structured operating system including runtime, memory, tools, apps, and durable state, enabling them to operate continuously, evolve over time, and remain inspectable across different runs.
01
TL;DR
Choose AgentRecall-MCP if…Maintain context across AI agent sessions (Claude Code, Cursor, etc.)
Choose holaOS if…Building agents that perform complex, multi-step tasks over extended periods
02
Side-by-Side Comparison
03
Features
AgentRecall-MCP01Persistent, compounding memory with 200-line awareness cap
02Automatic correction capture and alignment checking
03Cross-project insight recall via keyword and semantic (pgvector) search
04Zero cloud, all local markdown files, Obsidian-compatible
0510 MCP tools for agents, plus SDK and CLI
holaOS01Structured operating system for agents
02Designed for long-horizon work and continuity
03Enables agents to self-evolve over time
04Provides durable state and memory for continuous operation
05Offers inspectable state across multiple runs
04
Use Cases
AgentRecall-MCP↳Maintain context across AI agent sessions (Claude Code, Cursor, etc.)
↳Capture and learn from user corrections in software development
↳Coordinate memory across multiple parallel agents
holaOS↳Building agents that perform complex, multi-step tasks over extended periods
↳Developing continuously learning and evolving AI systems
↳Creating custom workspace applications on top of the holaOS environment
05
Best For
AgentRecall-MCPTrendingMemory & ContextDev Tooling
holaOSTrendingMulti-AgentLLM Infra
FAQ
FAQ
What is the difference between AgentRecall-MCP and holaOS?
Both AgentRecall-MCP and holaOS are in the Memory & Context category. AgentRecall-MCP has 258 stars, while holaOS has 5.4k stars.
Which is better, AgentRecall-MCP or holaOS?
The best choice depends on your use case. Choose AgentRecall-MCP if Maintain context across AI agent sessions (Claude Code, Cursor, etc.), and holaOS if Building agents that perform complex, multi-step tasks over extended periods.
Is AgentRecall-MCP free or open source?
Yes, AgentRecall-MCP is open source on GitHub (MIT).
Is holaOS free or open source?
Yes, holaOS is open source on GitHub (MIT).
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