Stage 03 of 6 · The Closed Loop
Memory — Working, episodic and semantic memory tiers — versioned and auditable.
Stage 03 of Implement Agentic's six-stage closed loop. Below: process, technologies, ecosystem partners, build-vs-buy guidance, project lifecycle and the benefits clients see.
Process
- Step 01
Working memory: keep the active context window lean via compaction and just-in-time retrieval.
- Step 02
Episodic memory: store session-level events ('what happened on Acme last Tuesday') with timestamps.
- Step 03
Semantic memory: consolidate generalized rules ('how Implement Agentic writes SOWs', 'this customer prefers X').
- Step 04
Apply selective forgetting via importance weighting + temporal decay (CraniMem pattern).
- Step 05
Make every memory write versioned and audit-logged.
Technologies
The 2026 production stack for this stage. Implement Agentic is deliberately model- and vendor-neutral.
Managed memory
- Anthropic Memory (filesystem-backed)
- Notion 3.0 (database-as-memory)
- Mem0
- MemGPT
- A-Mem
Storage substrate
- pgvector
- Qdrant
- Weaviate
- Object storage + Postgres metadata
Graph memory
- Neo4j
- Microsoft GraphRAG / LazyGraphRAG
- SYNAPSE
- GAM
Ecosystem partners
Anthropic
Managed Agents + Memory (filesystem-mounted, versioned, auditable)
Notion 3.0
Database-as-memory consolidation surface
Neo4j
Graph memory for projects ↔ customers ↔ technologies ↔ outcomes
See the full Ecosystem partners page for our tool catalog.
Build-vs-buy decisions
Buy when…
Buy Anthropic Memory or Notion 3.0 if your team already lives there — memory infrastructure is undifferentiated.
Build when…
Build the consolidation rules and forgetting policy — they encode your business heuristics.
Implement Agentic's recommendation
Hybrid: lean on Anthropic Memory for managed harness, build a thin semantic-rules layer in Postgres or Neo4j for cross-agent reuse.
Project lifecycle
| Phase | Timing | Outcome |
|---|---|---|
| Memory schema | Week 1 | Three-tier schema + retention/forgetting policy approved. |
| Wiring | Weeks 2–4 | Agents read/write memory through a governed API. |
| Consolidation | Week 5+ | Episodic → semantic distillation runs on schedule. |
| Operate | Ongoing | Memory audits + eviction tuned per agent. |
Benefits
- Long-running agents that survive context-window limits via filesystem-backed memory.
- Cross-session continuity: 'this customer prefers X' persists across engagements.
- Auditability: every memory mutation is replayable and reversible.
Failure modes we prevent
- Unbounded memory growth that degrades retrieval quality.
- Memory writes without ACL inheritance, leaking facts between tenants.
- Treating memory as a chat log instead of a curated, evictable store.