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embedchain. Memory for AI agents

docs.embedchain.ai

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Updates

June 2026
  • chore: update changelog, bump SDK versions to Python 2.0.10 and TypeS…
  • docs(cookbooks): fix v3 filters, response shapes & dead snippet in co…
  • docs(components): fix LLM & embedder model IDs and TS support lists (…
  • docs(platform): align Platform docs with v3 SDK behavior (#5849)
  • docs(cookbooks): fix v3 filters & update() in companions/essentials (…
  • docs(vectordbs): correct vector store config defaults & imports (#5843)
  • docs(api-reference): align API docs & openapi.json with v3 spec (#5848)
  • docs(changelog): fix score_details fields, graph-store note & dead li…
  • docs: remove inaccurate api-changes migration page (#5857)
  • fix(ts/redis): use nullish coalescing for hash/timestamps in insert/u…
  • SEO & metadata audit: expand short API reference descriptions (#5897)
  • docs: add SECURITY.md and improve contribution guidelines (#5855)
  • docs: fix mangled Python formatting in pgvector & Neon vector store g…
  • docs: document FastEmbed embedder + missing org/project API endpoints…
  • fix(deps): bump undici to >=6.27.0 (CVE-2026-12151) (#5861)
  • docs(open-source): fix OSS feature docs for v3 SDK (#5847)
  • docs(integrations): fix retired model IDs, v3 response shapes & verce…
  • docs(integrations): sync agent-plugin hook tables with actual hooks.j…
  • feat(memory): expose expiration controls in client docs (#5874)
  • feat(ts-sdk): add MiniMax LLM provider (#5858)