Verified memory
Record experiences, principles, mistakes, and reflections only after the host has checked the result.
LOCAL-FIRST / BETA 3.0 · v0.3.0b1
Give your agentsa past they can trust.
MemCoder turns verified work into reusable context, known failure warnings, and safer next moves—with policy checks, replayable lifecycles, and sandboxed dreaming.
Provider-independentProof-gatedReversible
RUN 0184 VERIFIED
What survives the runadmission record
01Contextretrievedready
02Outcomecheckedholds
03Boundaryknown risknoted
04Changereversiblesafe
ADMITTEDusable in the next run
MemCoder keeps the evidence, not just the answer.
01 / Observe the work02 / Verify the outcome03 / Keep the proof04 / Reuse with context
THE COGNITION LAYER
Memory with a standard of proof.
MemCoder sits beside an agent’s existing workflow. It does not replace the model; it gives the workflow a dependable past and a safe way to inspect what survives.
Failure frontiers
Keep a compact boundary around known failure modes so an agent can avoid repeating expensive mistakes.
Cognitive branches
Test a proposed change in isolation, attach proof obligations, then merge or roll it back.
Reusable skills
Promote patterns that survive verification into concise guidance for the next similar task.
Memory firewall
Apply policy and quality checks before a record becomes durable; uncertain evidence stays out.
Replayable dreaming
Replay lifecycle decisions and explore connections in a sandbox; candidates never become trusted automatically.
ONE LOOP, MANY HOSTS
Small enough to disappear into the workflow.
Use the CLI, Python SDK, MCP server, or a host integration. The lightweight Beta 3 Studio makes memory, policy, replay, and dream candidates inspectable without changing the host.
01Prepareretrieve context
02Worklet the agent solve
03Verifycheck the evidence
04Reusecarry forward what held
A REAL SESSION
Not another vector store.
Retrieval is only the beginning. MemCoder connects context to verification, quality feedback, and reversible learning.
Explore the implementation$ memcoder prepare "Fix webhook validation" confidence 0.82 retrieved verified validation pattern warning whitespace-only identifiers next test before recording ✓ guidance is evidence-backed
START HERE
One install. A better memory for every run.
MemCoder is provider-independent and local-first. Add it to an existing agent workflow without changing the model that powers it.
python -m pip install --pre memcoderThen verify with python -m memcoder --help
Current release: 0.3.0b1 (Beta 3.0)
Python 3.10+ · MIT licensed · no model provider required · optional lightweight Studio