Cognee
Apache-2.0 AI memory platform — local knowledge graph for agents
AI Agents / Memory & Evals · Apache-2.0 · 32.5k
Reviewed 2026-09-30 · last push 2026-10-19 · repo checked 2026-10-19
What's Good
Apache-2.0 (topoteretes/cognee). Local-first path with small CPU models and no required LLM key; optional local/hosted LLM for generation. Python package + MCP/plugins to connect existing agents. Ontologies and domain models for structured memory. Docs at docs.cognee.ai; research paper on KG↔LLM interfaces.
The Catch
Vs Mem0 / Hindsight: Mem0 is freemium memory infra SDK/cloud; Hindsight is MIT retain→recall→reflect (+ MCP). Cognee’s catch is KG-first company/agent memory you self-host — not Mem0’s hosted memory API and not Hindsight’s reflect loop alone. Graph + embedding pipelines cost CPU/disk; hosted/cloud extras (if any) are optional beside the OSS bar.
Verdict
Apache agent memory when you want a local knowledge graph company brain — not Mem0 cloud seats, not Hindsight’s reflect product alone.
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- PromptfooMIT LLM evals & red-teaming CLI; Community free, 10k probes/mo
- DeepEvalApache-2.0 pytest-style LLM/agent evals; Confident AI is the paid cloud