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v0.9.29

rohitg00/agentmemoryv0.9.29Aug 16, 2026by rohitg00

AI Summary

Adds Cursor and Devin integrations, DeepSeek support, and keyless graph extraction. This is a drop-in upgrade with no breaking changes.

Key Highlights

  • Cursor plugin support with 7 auto-capture hooks, 17 skills, and MCP.
  • Devin support via `connect devin --with-hooks` and a plugin manifest.
  • DeepSeek Harness connector (`connect dsh`) with full auto-capture.
  • Keyless graph extraction allowing knowledge graph population without an LLM key.
  • Two new skills: `memory-discipline` and `/lesson`.

New Features

  • Cursor plugin integration
  • Devin plugin support
  • DeepSeek Harness connector
  • Write-time provenance on records
  • Keyless graph extraction
  • Viewer clarity pass with two-pane session explorer

Full Release Notes

No breaking changes, drop-in upgrade.

## Added
- Cursor plugin: 7 auto-capture hooks + 17 skills + MCP, IDE and `cursor-agent` CLI
- Devin support: `connect devin --with-hooks` (6 native hooks) and a Devin plugin manifest for `/agentmemory:<skill>` commands
- DeepSeek Harness connector (`connect dsh`), with `--with-hooks` for full auto-capture
- `connect pi` now actually installs the extension; capture reaches parity with the Claude Code plugin
- Two new skills, 15 → 17: `memory-discipline` (when to recall and save) and `/lesson` (corrections become confidence-weighted rules)
- Write-time provenance on every record: origin channel stamped at capture, save, and import
- Keyless graph extraction: the knowledge graph now populates without an LLM key
- `AGENTMEMORY_LLM_NOTHINK=1` to skip the hidden thinking pass during graph extraction
- Viewer clarity pass: two-pane session explorer, expandable records, honest zero states

## Fixed
- MCP `initialize` now negotiates the client's protocol version instead of hardcoding `2024-11-05` (#908)
- Hybrid BM25 + vector + graph ranking reaches `memory_recall`, not just smart-search
- Superseded memory versions leave the search indexes; recall stops returning stale facts as current
- Lesson recall runs off a real index instead of scanning the whole corpus per query
- `agentId` threads through every save path (#1159, #1160, #1197)
- Prompt dedup no longer swallows prompts after the first in a TTL window (#1173)
- Stop hook no longer summarizes twice (#1203)
- Per-session project attribution in the OpenCode plugin (#1188)
- Safe `agentmemory stop` in Docker mode (#1151)
- `~/.agentmemory/.env` now applies to every module at boot

## Changed
- Provider default models bumped to current generations (OpenAI, Anthropic, Gemini, MiniMax, OpenRouter); explicit `*_MODEL` overrides unaffected

**Full changelog**: https://github.com/rohitg00/agentmemory/compare/v0.9.28...v0.9.29