Cognee
Open-source memory platform for agents to recall company knowledge from connected tools like Slack, GitHub, and Linear
Recommended for
- Solo / Indie
- Idea-Stage
- Pre-Seed
- Seed
- Series A
- Scaleup
SSIE
Stage Fit Recommendations
Following data shows why Cognee is recommended for listed teams. The Fit Score represents the percentage fit of Cognee to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Solo / Indie
$0–$2,000 MRR
87- Data encryption at rest and in transit
- Runs locally or on own cloud
Idea-Stage
$0
89- Free plan available (Free), no purchase required to start
- Self-serve signup from $2.5/mo, no sales call required
Pre-Seed
$0–$10k MRR
94- Connects Slack, GitHub, Linear to agents for recall
- Auto-generates ontologies for structured memory
Seed
$10k–$100k MRR
94- Improves recall with feedback and citations
- Integrates with Claude Code, Cursor, LangGraph
Series A
$100k–$500k MRR
90- Single sign-on with SAML and directory provisioning
- Data residency and regional hosting controls
- Stores and retrieves cited answers
Scaleup
$500k–$2M+ MRR
86- Connects to GitHub orgs, Slack, Linear
- Open-source codebase, independently reviewable
Cognee is an open-source memory platform designed to help AI agents recall past work, decisions, and domain-specific context. It connects to tools like Slack, GitHub, and Linear to centralize company knowledge into a queryable brain. The platform uses auto-generated ontologies to structure memory into entities, relationships, and rules, avoiding loose text. It offers a free tier for local use, usage-based pricing for scaling memory workloads, and enterprise BYOC deployments. Trusted by engineers from AWS, Google, and Microsoft, Cognee ensures agents and teams access permission-aware historical data to reduce redundant context relearning.
Pricing
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