Pieces for Developers (LTM)
Long-term memory engine for developers — captures everything the user does (browser, IDE, terminal) on-device, exposes via MCP for any IDE/agent.
Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 14 cited facts, 1 with a third-party source · Suggest a correction
At a glance
- Type
- On-device long-term memory for IDEs vendor fix
- Tier
- T2
- Section
- Dedicated memory layers
- Latest release
- searched not found fix
- License
- searched not found fix
- GitHub
- pieces-app/cli-agent — ~113 stars (CLI only; PiecesOS core not on GitHub), last commit n/a repo fix
- Pricing
- searched not found fix
- Funding
- searched not found fix
- Freshness
- 2026-10-22 fix
- Layer
- agent-infra repo fix
- SDK languages
- python, typescript registry fix
- Protocols
- mcp-server vendor fix
- Developer activity
- OpenRank 0.46 (12-mo avg 4.99) · 1 participants — 2026-09 third-party fix
Memory taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- long-term
- update
- accretion
- unit
- episode
- governance
- plaintext
- conflict
- n/a
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
searched not found
Cons
searched not found
Claims & capabilities
On-device LTM; 9-month rolling memory window in default config; PiecesOS backend.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Local + hybrid cloud sync
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- native (PiecesOS MCP server)
- A2A
- searched not found
- OpenTelemetry
- searched not found
Alternatives to Pieces for Developers (LTM) → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other dedicated memory layers in the catalog, ranked by inbound references.
- Mem0 T1
Universal memory layer for AI agents. Three concurrent stores (vector + graph + KV); LLM-extracted facts; concurrent retrieval via ThreadPoolExecutor.
- Zep & Graphiti T1
Bi-temporal knowledge graph (event time + ingestion time). Strong on chronological reasoning and contradiction tracking. Graphiti is the open-source core.
- Cognee T1
"Extract–Cognify–Load" pipeline that turns raw input into a typed, queryable knowledge graph for agent recall.
- Hindsight (Vectorize) T1
Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.
- Letta / MemGPT T1
Originated as MemGPT (UC Berkeley), where the model pages its own memory between context, recall and archival tiers. The product now centres on Letta Code, a stateful agent harness whose agents rewrite their own memory, skills and prompts over time.
- Memori T2
Structured, persistent memory layer for AI agents. Open source.
Sources (13 cited facts, 1 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is On-device long-term memory for IDEs vendor
- What it does & what's distinct Long-term memory engine for developers — captures everything the user does (browser, IDE… vendor
- Claims / benefits On-device LTM; 9-month rolling memory window in default config; PiecesOS backend. vendor
- Created 2022 vendor
- GitHub pieces-app/cli-agent — ~113 stars (CLI only; PiecesOS core not on GitHub), last commit n/a repo
- Deployment Local + hybrid cloud sync vendor
- MCP support native (PiecesOS MCP server) vendor
- architecture-deployment-locus local vendor
- positioning-platform-vs-product product vendor
- taxonomy-three-layer-rollup agent-infra repo
- developer-activity-opendigger {"activity":2.14,"as_of":"2026-09","openrank_12mo":4.99,"openrank_current":0.46,"partici… third-party
- sdk-languages python,typescript registry
- protocol-support mcp-server vendor
Related systems
References (1)
- Model Context Protocol (MCP spec) depends on at runtime — Long-term memory engine for developers — captures everything the user does (browser, IDE, terminal) on-device, exposes via MCP for any IDE/agent.