FastRecall vs Recurse

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

FastRecall compared with Recurse
Detail	FastRecall	Recurse
What it does	Context across AI models. Made for routers and multi-agent systems.	Build and deploy Agent MCP Apps
Stage	Not given	Growing
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Not given	usage-based
Pricing	Not given	Not given
Key features	Lightning fast context recall Free context retrievals Model-free context compaction Multi-model support FlashCompact intelligent context organization Model provider caching integration Persistent context across providers	Run agents with Python tools Deploy agents as MCP servers Validate structured inputs and outputs Inspect run results and artifacts Secrets management 24-hour result retention
What makes it different	No LLM-based compaction overhead Multi-model compatibility Inexpensive storage pricing Fast recalls with no retrieval fees	No subscription or idle charges for usage-based pricing Zero markup on model tokens Hosting included with deployment Available through MCP clients like Claude and Codex Full visibility into agent execution and results
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	2 no change since last check	35 no change since last check
Trust Flow (Majestic)	0	11
Citation Flow (Majestic)	25	20
Referring domains (Majestic)	27	39

3 details filled in for both companies.